Professional Courses

An on‑demand recorded course that teaches you how to refine research manuscripts and master writing and referencing tools, empowering you to write, cite, format, and submit scientific papers with clarity, structure, and professionalism.

A recorded, on‑demand course on Nano Solutions for a Microplastic Crisis that explores how nanotechnology‑based strategies and materials are being developed to detect, remove, and mitigate microplastic pollution in water, soil, and the environment.

A recorded, on‑demand course on Applied Nanobiotechnology for Sustainable Biochemicals and Biofuels covering how nanobiotech tools and materials are used to improve biochemical production, catalysis, biofuel synthesis, process efficiency, and sustainability.

International Workshop on AI-Driven Condition Assessment and Failure Prediction in Civil & Mechanical Structures

A recorded, on‑demand course on Nanomedicine and Targeted Drug Delivery Systems—covering nanocarriers, design principles, targeting strategies, therapeutic applications, pharmacokinetics, and safety considerations in modern nanomedicine.

An on‑demand recorded course that teaches Data Analytics and Artificial Intelligence in Drug Development, covering how modern analytics and AI methods accelerate discovery, optimize clinical trials, and improve decision‑making across the drug development lifecycle.

AI-Powered IT Monitoring for Infrastructure is a comprehensive, industry-focused course designed to help IT professionals move beyond traditional, reactive monitoring toward intelligent, predictive, and automated infrastructure management. As modern IT environments grow increasingly complex spanning cloud, hybrid, and on-premise systems AI-driven monitoring has become essential for ensuring reliability, performance, and scalability.

A recorded, on‑demand course on Chemical Synthesis of Nanomaterials: Fundamentals and Techniques—covering essential synthesis methods, reaction mechanisms, process optimization, and characterization tools used to create nanomaterials for research and industrial applications.

A recorded, on‑demand course on Nanotechnology based Digital Radiography covering principles, imaging systems, detectors, applications, quality control, and interpretation techniques across industrial and scientific settings.

Harnessing the Power of AI for a Greener, Smarter Planet AI for Environmental Monitoring and Sustainability

An on‑demand recorded course on Clinical Trial Document Management, teaching you how to efficiently organize, prepare, maintain, and archive clinical trial documents following regulatory standards and quality requirements used in research and pharmaceutical industries.

A recorded, on‑demand course on Nanotechnology for Energy Storage and Solar Cells that covers foundational concepts, advanced materials, device architectures, performance optimization, and future directions in nanotech‑enabled energy solutions.

An on‑demand recorded course designed for beginners that teaches Python for Biologists, introducing you to Python programming fundamentals and their direct application to biological data analysis and research workflows.

Unlock the Power of AI with a Hands-On Course: Build, Deploy, and Optimize Your Own RAG-Powered Q&A Bot

An on‑demand recorded course on Writing for Impact: Enhancing Medical Communication in the Digital Age, designed to teach you effective communication strategies, writing frameworks, and digital‑ready messaging tailored for medical and healthcare audiences.

An on‑demand recorded course on Molecular Dynamics (MD) Simulation in Bioscience Research — take your understanding from theory to practical implementation, learning how to simulate biomolecular systems, set up MD workflows, analyze trajectories, and interpret results for research applications.

International Workshop Series on Mathematical Foundations and Advanced Reasoning in AI

From Data to Dialogue: Master Generative AI & LLMs in a Hands-On International Course

An on‑demand recorded course on Pharmacovigilance for Drug Safety & Efficacy, enabling you to understand global safety frameworks, adverse event reporting, signal detection, risk assessment, regulatory compliance, and real‑world case analysis for drug safety research and practice.

A recorded, on‑demand course that explores Green Nanotechnology for Industrial Effluent and Air Remediation Treatment, teaching how eco‑friendly nanomaterials and sustainable nanotech methods effectively treat industrial wastewater and air pollution.

An on‑demand recorded course on Programming in R for analyzing biological data—covering R basics, data manipulation, visualization, statistical analysis, and domain‑specific workflows used in life sciences.

Algorithms for Access: Leveraging AI to Reform Intellectual Property and Advance Global Health Justice

Optimizing Sustainability: Advanced LCA for Smart Products and IoT Devices

Next‑Generation Sequencing Data Analysis Using Galaxy Platform On‑demand recorded course • NGS workflows with Galaxy for sequencing insights Instant Access Galaxy NGS Workflow QC → Mapping → Expression This on‑demand recorded course empowers you to perform **NGS data analysis** using the **Galaxy platform**, a powerful web‑based ecosystem for bioinformatics workflows. You’ll learn how to move

A recorded, on‑demand course on Recent Developments in Nanotechnology for Sustainable and Smart Agricultural Practices covering how nanotech innovations are enhancing crop health, nutrient delivery, pest management, soil monitoring, and sustainability in modern agriculture.

International Workshop on Deep Learning for Satellite Imagery and Earth Observation

An on‑demand recorded course on in silico macromolecular modeling and docking, teaching you the computational techniques to model biological macromolecules, perform molecular docking, analyze interactions, and interpret results for research or drug discovery applications.

Human Enhancement Technologies & Global Regulation: Ethics and Law Course

A Technical Workshop on Designing for Resilience, Energy Efficiency, and Thermal Comfort

Accelerate Discovery: Use AI to Research, Write, and Analyze with Precision

An on‑demand recorded course that explores Digital Health and Therapeutics trends, tools, analytical approaches, and real‑world applications in healthcare innovation and patient outcomes.

Gain a comprehensive understanding of global trade and investment law, including international trade agreements, foreign direct investment (FDI) regulations, dispute resolution, and compliance frameworks.

International Workshop on Understanding and Defending Against AI-Augmented IoT Threats

International Course on Climate Action Strategies, Emission Reduction, and Carbon Neutrality Pathways

An on‑demand recorded course that equips you with Next‑Generation Sequencing (NGS) data analysis skills—from raw reads through quality control, alignment/mapping, quantification, and biological interpretation—designed for researchers and students working with high‑throughput sequencing data.

A recorded, on‑demand course on Carbon Nanotubes (CNTs) and Carbon Nanodots (CNDs) covering synthesis methods, key properties, characterization techniques, and industrial applications of these cutting‑edge carbon nanomaterials.

An on‑demand recorded course on Protein Structure Prediction using MODELLER — learn how to go from amino acid sequence to validated 3D protein model using industry‑accepted computational techniques.

International Workshop on Life Cycle Assessment and Carbon Intelligence in Sustainable Energy Infrastructure

One World, One Code: Crafting Ethical Foundations for Global AI

An on‑demand recorded course on Pharmacophore Modeling and Molecular Docking that teaches you how to connect 3D structural insights with biological function, using computational workflows to model pharmacophores, perform docking simulations, and interpret structure‑function relationships in drug discovery.

An on‑demand recorded course for beginners that teaches Python programming for biological data science, covering fundamentals of Python syntax, data handling, analysis workflows, and practical applications on biological datasets.

A recorded, on‑demand course on Nanopurify: Transforming Wastewater with Nanotech covering how nanotechnology enhances wastewater treatment, advanced purification methods, materials for contaminant removal, and real‑world sustainable solutions.

International Workshop on AI-Enabled Analysis of Next-Generation Nanomaterial Sensors

Designing Climate-Responsive Facades and Urban Systems for Cold Climate Resilience

International Workshop on the Legal, Ethical, and Strategic Dimensions of Military AI

International Course on Building Transparent, Accountable, and Resilient Supply Networks

An on‑demand recorded course on Molecular Bioinformatics and In‑Silico Genetic Engineering, covering computational analysis of biological sequences, molecular modeling, genetic editing simulations, and bioinformatics workflows for modern research.

From the Sea to the Lab: Understanding the Potential of Marine Biomaterials On‑demand recorded course • Marine biomaterials science to lab applications Instant Access Materials from Marine Sources Extraction → Properties → Potential This recording‑based course brings you into the world of **marine biomaterials**, teaching how natural resources from the sea can be transformed into

A recorded, on‑demand course that takes you from the basics of polymer nanocomposites through fabrication techniques, property optimization, and real‑world applications ideal for learners and professionals in materials science, nanotechnology, and engineering.

International Workshop on Accelerating Material Innovation through Artificial Intelligence

International Workshop on Legal Challenges and Policy Frameworks in the Age of Creative AI

Illuminate the Dark Web: Use AI to Detect Threats, Analyze Patterns, and Secure the Digital World

International Workshop on Ethics, Fairness, and Governance in Artificial Intelligence

International Course on Designing and Executing Campus-Wide Green Initiatives

AI Meets the Brain: Discover the Future of Neuroscience

AI-enabled models for temperature, humidity, and light optimization.

An on‑demand recorded course that takes you step‑by‑step through RNA‑Seq transcriptome library preparation and data analysis—from RNA extraction and quality control to bioinformatics interpretation of transcriptomic datasets.

International Workshop on Smart Technologies for Environmental Monitoring and Disaster Risk Reduction

A recorded, on‑demand course that explores Medical Applications of Graphene, covering its biological properties, therapeutic and diagnostic uses, biomedical device integration, safety/biocompatibility, and future prospects in healthcare innovation.

A recorded, on‑demand course on Pharmacovigilance for Drug Safety & Efficacy, teaching you how to monitor, evaluate, and interpret drug safety data using global standards—perfect for researchers, clinicians, regulatory professionals, and pharmaceutical scientists.

AI models for optimal rooftop and facade PV Deployment.

International Workshop on Smart Technologies for Environmental Monitoring and Disaster Risk Reduction

Biosignal processing for devices like ECG patches, glucose monitors, fitness bands

A cutting‑edge on‑demand recorded course exploring how AI and machine learning (ML) can be applied to space biotechnology and astrobiology to analyze data, model extraterrestrial environments, detect biosignatures, and support the search for life beyond Earth.

Transforming Architecture: Embracing AI, VR, XR, and Climate-Responsive Design for a Sustainable Future

Optimizing crop yield, water usage, and energy production.

Master sustainable development through green innovations with this comprehensive on-demand course. Learn practical renewable energy solutions, waste management strategies, and eco-technologies driving the $12+ trillion sustainability market. Instant access to expert-led video content—start transforming your career today.

Life Cycle Assessment in Agriculture: Leveraging Remote Sensing, Crop Modeling & Input Optimization for Sustainable Practices

International Course on Financial Instruments and Market Mechanisms for Climate Action

International Workshop on Harnessing Advanced Data Analytics for Economic Intelligence and Business Strategy

Revolutionizing E-Waste: Leveraging AI and LCA for Sustainable Critical Mineral Recovery

An on‑demand recorded workshop that teaches you how to apply Machine Learning using Python programming in bioscience research—from data preprocessing and feature engineering to model building, evaluation, interpretation, and real‑world predictive applications in biological datasets.

Using ML Algorithms to Predict Properties of Novel Materials like GaN, SiC, or 2D Semiconductors for High-Performance Applications.

An on‑demand recorded course on Carbon Fiber Reinforced Plastics (CFRPs) covering the fundamentals, fabrication methods, mechanical behavior, processing techniques, and applications of CFRPs—perfect for learners who want practical materials science and engineering insights in a reusable format.

Harnessing AI for Sustainable Waste Management and Energy Solutions

Unlocking the Power of Graphene Sensors: Advanced Analytics for Gas Detection and Anomaly Detection

International Workshop on Streamlining Enterprise Operations Using Artificial Intelligence

International Workshop on Designing Holistic Solutions for Complex Global Challenges

An on‑demand, recorded course that teaches you how to perform end‑to‑end NGS and transcriptomic data analysis—from raw sequencing reads through quality control, alignment/quantification, normalization, differential expression testing, and biological interpretation—so you can turn complex sequence data into meaningful insights.

Unlock the Power of AI to Detect, Analyze, and Defend Against Cyber Threats

From waves to warnings: building AI pipelines for ocean risk.

Predictive Models Optimizing Doping Profiles and Layer Compositions for Enhanced Light Absorption

Leveraging Data-Driven Forecasting for Resilience, Risk, and Resource Optimization

Exploring the Final Frontier with AI: Unlocking the Power of Machine Learning for Satellite Data Analysis

Tracking resource flows (energy, water, waste) in megacities.

Empowering Privacy, Enhancing Collaboration: AI for Decentralized and Secure Learning

A practical, recording-based learning product that teaches you how to go from raw data to reliable predictions using Python—covering advanced EDA, feature engineering, supervised ML (regression/classification/ensembles), tuning, evaluation, and explainability, using a real TOC (Total Organic Carbon) dataset as the working example.

From policy to pilots: building trustworthy autonomous drones

Predictive waste-to-resource modeling for cities.

Where data-driven insight meets deployable composites.

Forecasting Air Pollution and Assessing Its Health Consequences Using Machine Learning

Predictive waste-to-resource modeling for cities.

Forecast Smarter, Dispatch Better: Hybrid AI for Renewable + Storage

Fluent in the language of healthcare? You’re about to be. Medical coding is the backbone of the healthcare industry. This comprehensive starter course takes you from “zero knowledge” to coding compliant claims. Master the “Big 3” manuals—ICD-10-CM (Diagnosis), CPT (Procedures), and HCPCS Level II (Supplies)—and build the foundation for a high-demand remote career. Level: Beginner / Entry-Level Format: Self-Paced Video + Real-World Chart Abstracting Focus: Outpatient Coding & CPC Exam Foundations Outcome: Certified Junior Coding Specialist

Design, size, and dispatch real-world hydrogen hubs.

From fab data to higher yield—predict, optimize, and control.

Make Batteries Circular—Policy to Plant, End-to-End Standards

An Interdisciplinary Workshop on Data-Driven Urban Sustainability and Intelligent Infrastructure

Turning weather into signals—and buildings into responses.

Catalyzing Green Innovation: Harnessing NiO Nanocatalysts for Sustainable Futures

LCA + ML for recovering critical minerals from e-waste.

From Pixels to Protection: Real-Time AI for Earth’s Alarms

Transform real-time Canadian energy data into predictive intelligence using ML/DL

AI at Hypersonic Speeds—Stability, Oversight, and Zero-Weapon Focus

Transforming Biosignals into Real-Time Health Insights.

Solar PV system, Commissioning,Performance testing, Large-scale, Efficiency, Reliability, Monitoring, Troubleshooting.

Power-to-Ammonia: Safe, Bankable Pathways from Renewable Electrons to Fields and Fuel Tanks

Sterelithography, Cold Sintering, CNC Machining

Hands-On Deep Learning for Crop Pest & Disease Detection

From raw biosignals to intelligent remote care dashboards.

Smart Water, Simple Decisions: Your First AI Irrigation Tool

Quantifying Land–Ocean $CO_2$ Sinks using OCO-2/3, SIF, and Biogeochemical Modeling

From Climate Data to Actionable Climate Policy Intelligence

Successful trials run on relationships, not just protocols. This advanced management course is designed for Study Managers and Lead CRAs who need to master the art of “Influence Without Authority.” Learn how to motivate underperforming sites, manage difficult investigators, and oversee CRO performance to ensure your study hits its milestones on time. Target Audience: Study Managers, CPMs, Lead CRAs Focus: Site Motivation, Conflict Resolution, & Vendor Oversight Format: Scenario-Based Video Training + Communication Toolkits Certification: Certified Clinical Project & Site Manager

Turn Biodesign Ideas into Measurable Performance Gains—with AI.

Turn Soil Microbiome Data into Early-Warning Crop Protection Intelligence.

From Quantum to AI to Diffusion—Design Better Battery Materials Faster

Mastering Sound in the Sea: Advanced Modeling and Signal Processing for Ocean Acoustics

100% SDV is obsolete. It’s time to monitor smarter. This advanced certification course teaches you how to implement a compliant Risk-Based Quality Management (RBQM) system. Learn to identify Key Risk Indicators (KRIs), set Quality Tolerance Limits (QTLs), and perform Centralized Statistical Monitoring to detect issues before they become audit findings. Level: Advanced / Strategic Focus: Data Analytics, Risk Assessment, & Centralized Monitoring Format: Self-Paced Video + Risk Assessment Templates Certification: Certified RBM Implementation Specialist

Stop studying theory. Start monitoring. This intensive bootcamp bridges the gap between textbook GCP knowledge and the real-world daily life of a Clinical Research Associate (CRA). From conducting a Site Initiation Visit (SIV) to writing a flawless Monitoring Report, you will master the entire lifecycle of a clinical trial site. Format: On-Demand Video + Real World Templates (Checklists, Logs, Reports) Focus: Practical Application (How to actually monitor) Outcome: “Day 1 Ready” Monitoring Skills Certificate: Certified Clinical Monitoring Specialist

Don’t just read the new regulations—master them. This advanced certification bridges the gap between ICH-GCP E6(R2) and the modernized E6(R3) guidelines. Designed for experienced clinical research professionals, this course moves beyond basic compliance to focus on Risk-Based Quality Management (RBQM), Data Governance, and Decentralized Clinical Trials (DCTs). Level: Advanced / Professional Format: Self-Paced Online (Video Modules + Toolkits) Outcome: “Certified ICH-GCP E6 (R3) Practitioner” Digital Badge Access: Lifetime Access to Materials + 2-Year Certification Validity

Course Overview: Computer Vision and Image Processing In this exciting and hands-on course, you’ll dive into the world of computer vision and image processing, learning how to extract meaningful information from images and videos. From basic image enhancement to advanced techniques like object detection and deep learning, this course will help you harness the power

Navigating the Future of AI with Integrity: Mastering Ethics, Governance, and Regulation

Aim This course aims to equip participants with the essential skills to develop modern web applications and integrate Artificial Intelligence (AI) functionalities. Attendees will learn the basics of web development technologies like HTML, CSS, JavaScript, and server-side frameworks, alongside practical AI integrations for enhancing user experience and improving web functionalities such as recommendations, personalization, and

Harness AI to Stay Ahead of Cyber Threats: Empower Your Security with Tomorrow’s Technology Today!

Aim This certificate program is designed to help participants understand and apply Good Clinical Practice (GCP) as described in ICH-GCP E6 (R3). The course focuses on how to run ethical, safe, and high-quality clinical trials while protecting participant rights and ensuring reliable data. It is built for practical use, so learners not only understand what

Zinc Finger Nucleases and TALENs: Alternatives to CRISPR is a practical, concept-to-application program that helps you understand protein-based genome editing tools, when they’re preferred over CRISPR, and how researchers evaluate design constraints, specificity, and use-cases for real experiments.

A Hands-On Program for Genomic Data Analysis teaches you to process real genomic/NGS datasets step-by-step using industry-relevant, reproducible workflows. You’ll learn how to go from raw sequencing files to interpretable results, and how to present outputs in a clean, publication-ready format.

Learn to build, evaluate, and deploy machine-learning models to predict air pollution and assess its health impacts.

Learn how to implement practical, campus‑wide sustainability initiatives — covering energy, water, waste, and transport management — through actionable frameworks (STARS, LEED, ISO 14001) and real‑world case studies. Ideal for students, faculty, and campus administrators aiming for low‑carbon, resilient, eco‑friendly campuses.

Course Overview This course offers an in-depth understanding of systems thinking and its applications in solving the complex, interconnected issues inherent to the United Nations Sustainable Development Goals (SDGs). It emphasizes understanding, modeling, and designing systemic solutions for global challenges like climate change, clean water, health, and inequality, with practical tools and frameworks for real-world impact.

Demystify artificial intelligence and build foundational AI knowledge with this self-paced program. Perfect for students, educators, professionals, and curious minds with no coding background. Includes certification upon completion.

A comprehensive 6-week mentor-based e-LMS program designed to equip architects, designers, and sustainability professionals with the science and strategies behind energy-efficient daylighting and natural ventilation in smart buildings. Flexible online learning with certification.

To enable learners to computationally design and predict effective, safe drug molecules by targeting disease-specific biomolecules using modern Computer-Aided Drug Design (CADD) techniques.

Discover how AI is transforming nutrition and dietetics. This course offers insights into personalized nutrition, predictive health models, and smart dietary planning using artificial intelligence.

Master modern boardroom leadership in this 6-week, mentor-led program with live sessions and case-based learning. Delve into corporate governance principles, ESG compliance, stakeholder dynamics, board composition, and global benchmarks. Tackle real-world governance failures, draft ethical policies, and lead with resilience in complex regulatory landscapes.

Transforming Agriculture with Artificial Intelligence In the age of digital agriculture, integrating Artificial Intelligence (AI) into farming practices is no longer optional—it’s essential. Our comprehensive course on AI-Powered Precision Farming and Smart Crop Management equips you with the knowledge and skills to revolutionize agricultural practices through data-driven decision-making, resource optimization, and sustainable farming techniques.

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Advanced Bioinformatics Internship | Duration: 1 Month | Mode: Offline/Online (Live + LMS)

Duration: 45 Days | Mode: Online (Live + LMS) | Learn to design siRNAs, predict RNA secondary structures, and analyze thermodynamic stability using industry-standard tools. Ideal for bioinformatics, molecular biology, and biotechnology students, as well as researchers and professionals in RNA therapeutics.

Duration: 1 Month | Mode: Offline/Online (Live + LMS)

Professionals in environmental health and safety (EHS) navigate a multifaceted landscape, mastering regulatory compliance, risk assessment, and emergency response planning. Sustainable practices and adherence to laws and standards, such as those set by OSHA, EPA, and ISO, are paramount.

This program aims to equip participants with cutting-edge knowledge and practical skills in CRISPR technology and bioinformatics, focusing on their applications in cancer biology. Students will explore the molecular mechanisms of cancer, learn to manipulate genes using CRISPR, and analyze biological data, paving the way for innovations in cancer treatment and research.

The Industry Program in Nanotechnology course is a professionally designed, application-focused program that equips learners with the practical knowledge and industry-relevant skills required to work with nanotechnology in real-world industrial environments. This program bridges the gap between academic concepts and industrial execution, enabling participants to understand how nanomaterials are developed, processed, tested, and commercialized across multiple sectors.

Master infectious disease modeling using R programming in this mentor-led, 3-day virtual workshop. Learn to simulate disease spread, analyze epidemiological data, and develop intervention strategies with hands-on training. Explore deterministic models (SIR), outbreak forecasting, and public health decision-making. Designed for students, researchers, and professionals in epidemiology, biostatistics, and public health. Enroll now to gain expertise in mathematical modeling for disease prevention and control!

3-day CRISPR-Cas9 genome editing workshop by NSTC. Learn genome editing tools, workflows, ethics & applications. Enrol now.

This program focuses on the integration of artificial intelligence and health informatics. Participants will gain expertise in using AI for health data analysis, clinical decision-making, and digital healthcare innovations, preparing for the future of AI in healthcare.

This course explores advanced biotechnological methods to combat deadly diseases like cancer and HIV/AIDS. Participants will gain expertise in genetic engineering, molecular diagnostics, and vaccine development, preparing them to address global health challenges.

Precision medicine combines genetics, environment, and lifestyle to personalize healthcare, enhancing disease treatment, prevention, and public health strategies through tailored interventions and data-driven insights.

This Advanced Immunotherapy program provides in-depth training in immunotherapy, covering checkpoint inhibitors, CAR T-cell therapy, and cancer vaccines. Participants will learn practical techniques, clinical applications, and the latest innovations in immunotherapy for cancer and other diseases.

This one-month program explores the mechanisms of epigenetics, including DNA methylation and histone modification, to understand gene regulation and its impact on health and disease. It equips participants with skills in modern techniques and fosters discussions on ethical implications.

This comprehensive program on cancer biology explores the molecular mechanisms behind cancer development and targeted therapies. Participants will gain hands-on experience with advanced research tools, clinical trials, and emerging therapeutics for personalized cancer treatment.

This comprehensive course provides in-depth training in advanced immunological techniques, including flow cytometry, ELISA, CRISPR, and RNA sequencing. Participants gain practical skills for biomedical research and clinical applications, emphasizing innovation and translational immunology.

The Certificate Course in Pharmacovigilance provides participants with essential knowledge and practical skills in drug safety monitoring, adverse event reporting, and compliance with global regulatory standards. This program is ideal for healthcare professionals and those pursuing careers in pharmaceutical safety.

This comprehensive program in viral oncology explores how viruses contribute to cancer and highlights innovative diagnostic, therapeutic, and research strategies, including oncolytic virotherapy and vaccines.

This program dives into the science of mRNA vaccines, exploring their development, manufacturing, and implementation. Participants gain hands-on experience in vaccine technology, preparing for careers in biotechnology and public health.

The Systems Vaccinology program integrates omics technologies and computational tools to revolutionize vaccine research. Learn genomics, proteomics, and bioinformatics to predict immune responses, identify biomarkers, and design next-generation vaccines.

The Herd Immunity and Vaccination Strategies program provides in-depth training in immunization planning and evaluation, vaccine coverage analysis, and public health strategies. Participants gain expertise in designing vaccination programs and applying epidemiological tools to assess vaccine impact and effectiveness.

Master AI applications in smart grid technology. Learn energy demand forecasting, fault detection, and grid automation. Enroll now with NanoSchool

This program explores DNA-based biosensors for environmental monitoring, covering their design, development, and applications. Participants will learn to use biosensors to detect pollutants and pathogens.

Explore Hyperloop technology and its integration into green transportation systems. This program covers sustainable infrastructure, renewable energy, and the future of high-speed travel to revolutionize eco-friendly urban mobility.

This program offers comprehensive training in High-Performance Computing (HPC) for environmental simulations, focusing on climate modeling, renewable energy optimization, and biodiversity conservation.

This program explores the use of Augmented Reality (AR) in environmental education, combining immersive technology with ecological learning. Participants will develop AR content for sustainability and conservation campaigns, enhancing environmental awareness and engagement.

This program explores the use of satellite technology for climate monitoring and disaster response. Participants will gain skills in remote sensing, satellite data analysis, and geospatial tools, preparing them for roles in environmental and disaster management.  

This program delves into biochar production, its role in carbon sequestration, and its applications in sustainable agriculture. Participants will explore the technical, environmental, and economic aspects of biochar technology, enhancing their skills in climate change mitigation and carbon market opportunities.

This program explores the role of robotics in environmental clean-up, teaching participants to design, deploy, and manage robots for pollution control, waste removal, and ecosystem restoration.

This program explores the technologies behind electric and autonomous vehicles (EVs and AVs), their role in sustainable mobility, and their integration into smart cities. It covers battery innovations, AI navigation, and ethical considerations, preparing participants to lead advancements in sustainable transportation.

This program explores how blockchain enhances transparency and efficiency in carbon credit trading. Participants learn blockchain fundamentals, smart contracts, and carbon market dynamics to create secure and decentralized carbon trading platforms.

This program focuses on sensor networks and IoT for environmental health monitoring, teaching participants to design and implement systems for tracking air and water quality, pollution, and climate change. It integrates case studies, and ethical frameworks for sustainable development.

Learn to design, operate, and integrate autonomous drones for environmental surveillance. This program covers drone technology, sensor integration, AI analytics, and case studies to address challenges in deforestation, pollution, and wildlife conservation.

This program on 4D printing technology explores how smart materials respond to environmental stimuli to create sustainable solutions. Participants will learn to design adaptive structures for industries like construction, textiles, and packaging while understanding the environmental benefits of 4D printing.

This program explores CRISPR and synthetic biology applications in environmental restoration. Participants will gain learn designing genetic solutions for bioremediation, biodiversity conservation, and ecosystem resilience, addressing ethical and regulatory aspects.

This program explores quantum computing applications in environmental modeling, focusing on solving complex issues like climate change, resource optimization, and pollution control through quantum algorithms and tools.

This program empowers participants to use synthetic biology for sustainable solutions. Learn genetic engineering, bioinformatics, and metabolic engineering to tackle environmental challenges, fostering innovation in agriculture, healthcare, and manufacturing.

This program explores the transformation of sugarcane waste into biofuel, highlighting cutting-edge technologies, sustainability practices, and the economic viability of renewable energy solutions.

This program provides a comprehensive understanding of lactose intolerance, covering its biological basis, diagnosis, and dietary management strategies. It equips participants with the skills needed to address dietary restrictions and improve public health outcomes.

This program focuses on leveraging IoT and smart sensors to reduce food waste by optimizing production, storage, and transportation processes.

This one-month program focuses on digital agriculture and precision biotechnologies, equipping participants with skills in genetic engineering, data analytics, and precision farming tools like GIS, drones, and AI to enhance agricultural productivity and sustainability.

Explore next-generation wireless technologies, from 5G fundamentals to future advancements like 6G. Learn about 5G architecture, applications, deployment challenges, and analyzing next-gen networks.

This one-month Nanobiotechnology program offers insights into the applications of nanotechnology in drug delivery and diagnostics. Participants will explore the design of nanomaterials for targeted therapies, diagnostics, and personalized medicine, preparing for careers in nanomedicine.

This 1-month program delves into bioinformatics applications in industrial biotechnology, equipping participants with tools to analyze biological data and optimize processes for pharmaceuticals, agriculture, and environmental sustainability.

This 1-month program bridges AI and metabolic engineering, focusing on optimizing metabolic pathways for biomanufacturing.

This program explores quantum computing in protein design, merging computational biology with quantum algorithms for advancements in drug discovery, molecular design, and enzyme engineering.

This program explores robotics and automation in high-throughput biotechnology, focusing on cutting-edge tools like automated liquid handling and AI-driven systems for genomics and proteomics.

This 1-month program explores genetic engineering and its role in sustainable agriculture. Learn CRISPR applications, GMOs, and ethical considerations, preparing for advanced research in agricultural biotechnology.

This program focuses on Lab-on-a-Chip (LOC) technology for miniaturized genetic engineering and molecular diagnostics. Participants will explore microfluidics, fabrication techniques, and LOC applications in biotechnology, preparing them for advancements in precision medicine and healthcare.

This program explores the emerging field of epigenome editing, focusing on tools like CRISPR-dCas9 for precise gene expression control. Participants will learn about epigenetic mechanisms, therapeutic applications, and bioinformatics techniques for epigenetic data analysis.

Explore optogenetics and its applications in diagnostics and therapy. This program offers real-time cellular monitoring techniques, and insights into neurological disorders like Parkinson’s and epilepsy.

This one-month program on single-cell genomics focuses on advanced techniques for sequencing and analyzing individual cells. Participants will explore applications in cancer, immunology, and developmental biology, gaining practical skills for research and clinical practice.

This one-month program offers in-depth training in gene drive technology, focusing on CRISPR systems, disease control, and conservation efforts. Participants will explore the science, applications, ethical challenges, and real-world impact of gene drive research

This program combines digital and biological forensics to extract and analyze DNA-related data from devices. Participants will master tools and techniques to integrate digital and physical evidence, addressing ethical, legal, and technical challenges in forensic investigations.

This program explores the transformative role of AI in forensic science, teaching participants to analyze forensic evidence using AI tools, from facial recognition to digital forensics, while addressing ethical and legal considerations.  

Learn mass spectrometry techniques in toxicology and drug testing, including GC-MS and LC-MS. Gain practical skills in detecting toxins, interpreting data, and ensuring quality control for forensic and clinical applications.

This program explores nanotechnology’s role in forensic biology, focusing on using nanomaterials and biosensors for advanced evidence detection, traceability, and analysis.

This program in Microbial Forensics bridges microbiology and forensic science, focusing on bioterrorism, disease tracking, and pathogen analysis.

This program trains participants in 3D crime scene reconstruction using laser scanning, photogrammetry, and digital modeling. Gain expertise in forensic imaging, data analysis, and courtroom presentation, ensuring high-quality documentation and investigation of crime scenes.

This one-month program explores genomics and proteomics in marine biology, offering insights into biodiversity, ecosystem interactions, and conservation strategies.

This program focuses on advanced sensing technologies for ocean monitoring. Participants will learn sensor design, deployment, and data analysis to address marine challenges like climate change, pollution, and resource management, equipping them for careers in oceanography and environmental conservation.

This program explores the application of nano-biotechnology in marine medicine, focusing on the development of nanomaterials derived from marine organisms for drug delivery, disease treatment, and diagnostics.

This program focuses on the intersection of AI and data analytics with food science, teaching participants to design personalized nutrition solutions. Learn how big data and machine learning shape the future of food, from personalized diets to AI-driven food systems.

This program explores the innovative use of edible sensors for real-time food safety and quality monitoring. Participants will gain knowledge of biosensors, material science, and IoT integration to design sustainable food monitoring solutions.

This program focuses on metabolic engineering to naturally enhance food flavor and texture. Participants will explore genetic tools, such as CRISPR and synthetic biology, to design sustainable and innovative food solutions.

This program explores the production of bioplastics from agricultural byproducts, providing insights into sustainable materials, production techniques, and commercial applications. Participants will gain hands-on experience and skills to contribute to the bioplastics industry.

This program explores cell-based seafood production, offering insights into lab-grown seafood’s environmental benefits, scientific principles, market dynamics, and regulatory landscapes, preparing participants for a sustainable aquaculture future

This program provides advanced training in biosensor technology with a focus on quantum dots and fluorescent probes. Participants will learn to design and test biosensors for applications in diagnostics and environmental monitoring.

This program provides a comprehensive understanding of optogenetics, focusing on real-time neural and cellular monitoring using light. Participants will learn about optogenetic tools, diagnostics, and therapeutic applications for neurological disorders

This program explores liquid biopsy as a non-invasive cancer diagnostic tool, focusing on circulating biomarkers (CTCs, cfDNA). Participants will gain expertise in cutting-edge techniques for cancer detection, monitoring, and personalized therapies.

This program focuses on the principles and applications of nanoparticles in enhancing detection sensitivity for diagnostics, environmental monitoring, and chemical sensing. Participants will gain practical skills in nanoparticle synthesis, functionalization, and advanced detection system design.

A comprehensive one-month program on wearable biosensors, focusing on their design, development, data integration, and regulatory compliance.

This course focuses on the integration of digital pathology and AI-driven image analysis. Participants will master the use of AI tools for disease detection, tissue classification, and diagnostic enhancement, preparing for advancements in healthcare and research.

This one-month program on Microfluidic Lab-on-a-Chip Systems covers the design, fabrication, and application of microfluidic devices.

This 1-month program explores Zinc Finger Nucleases (ZFNs) and TALENs, their mechanisms, design strategies, and applications as alternatives to CRISPR in gene editing.

This one-month program focuses on the use of CRISPR-Cas12 and Cas13 for rapid pathogen detection, enabling participants to harness these technologies for identifying and managing infectious diseases in clinical and environmental contexts.

This program on IoT-Enabled Vertical Farming integrates sensor technology, IoT, and biotechnology to maximize crop production efficiency in urban farming. Participants will learn to design and manage sensor-equipped farms, monitor crops in real time, and apply biotechnological advances to enhance yield.

The AI and Machine Learning in Crop Genomics program teaches participants how to leverage AI and machine learning to enhance crop genomics, optimize crop traits, and improve agricultural productivity. Through hands-on projects and practical applications, students learn to apply data-driven approaches for sustainable agriculture. MODE: Online/ e-LMS | TYPE: Self Paced | LEVEL: Moderate | DURATION: 4 Weeks

The one-month GWAS and Multi-Omics Approaches program offers intensive training on methodologies and practical applications of GWAS and multi-omics technologies. Participants will gain expertise in integrating genomic data to answer complex biological and health-related questions.

This program explores the role of robotics and AI-driven automation in agricultural biotechnology, focusing on precision farming, crop monitoring, and sustainable food production. Participants will gain hands-on experience with technologies like drones, automated irrigation, and phenotyping systems.

This program explores the application of nanotechnology in agriculture, emphasizing nanoscale innovations in crop protection, fertilizer efficiency, and environmental sustainability. Participants will gain skills to implement nano-enabled solutions for real-world agricultural challenges.

This program explores the use of microorganisms in the eco-friendly extraction of rare earth metals. Participants will learn bioleaching and bioaccumulation techniques, supporting sustainable resource management and reducing environmental impact.

The Bio-refinery program is focused on converting biomass into biofuels, bioplastics, and biochemicals. It aims to minimize waste, support sustainable energy, and create valuable bioproducts, preparing participants for impactful roles in the bioeconomy.

The Advanced Bioprocess Engineering program focuses on developing skills for designing and optimizing biotechnological processes, preparing participants for innovative roles in the production of pharmaceuticals, biofuels, and bioproducts. Combining theory with practical lab experience, the program addresses the biotechnology industry’s need for sustainable biomanufacturing solutions.

This program provides a comprehensive look at genome editing technologies, including CRISPR, TALENs, and ZFNs, along with their applications in genetic research, agriculture, and medicine. Participants will gain practical and theoretical insights into genetic editing for innovative solutions.

This program focuses on using microbial degradation to combat pollution. Participants learn to apply microbial processes to remove pollutants, develop bioremediation technologies, and contribute to environmental sustainability through hands-on research.

The “Development of C4 Plants by rDNA Technology” program integrates advanced genetic engineering to enhance the photosynthetic efficiency of staple crops like rice and wheat. Participants will explore the transformation of C3 plants into C4 plants to improve crop yields, water efficiency, and climate resilience, contributing to global food security.

Delve into the innovative field of spintronics, combining nanotechnology and electronic engineering for advanced computing solutions.

Discover cutting-edge drug delivery systems featuring carbon nanotubes and micro needles, enhancing precision in medical treatments.

Explore the integration of biosensors and nanotechnology in diagnostics, emphasizing practical applications and emerging trends.

Explore the synthesis and applications of inorganic encapsulation containers across industries.

Explore the intersection of nanotechnology and drug delivery for medical advancements in the NANOmedX program.

Explore nanoantibiotics in healthcare, focusing on advanced drug delivery and antibiotic resistance.

Master the design and application of nanoreactors with our comprehensive program focusing on their theoretical aspects, diverse applications, and sustainable technology solutions.

Learn the fundamentals and innovations in nanotechnology-enhanced filtration for industrial applications, including wastewater treatment and sustainable practices

Nanoparticles for cancer therapy, drug delivery, oncology advancements, targeted therapies, cancer treatment innovations.

Comprehensive program covering biomedical foundations for clinical research, from anatomy and biochemistry to therapeutic applications and clinical trials.

Eco-friendly nanoparticle synthesis using plant extracts for biomedical & environmental applications, enhancing biocompatibility.

The Green Hydrogen Program offers a comprehensive exploration of green hydrogen as a sustainable energy source, focusing on its production, storage, and applications in industries, particularly in fuel cell electric vehicles. Participants will engage in lectures and hands-on sessions, gaining insights into the technological advancements and policy frameworks driving the transition to green hydrogen.

The “Synthesis of Carbon Dots from Kitchen Waste” program provides participants with the knowledge and skills to convert organic waste into valuable carbon dots. This hands-on workshop covers the synthesis, characterization, and applications of carbon dots, emphasizing their importance in various fields, including bio-imaging and environmental science.

The “Nanoparticles based Electrochemical Sensors Workshop” provides a thorough introduction to nanoparticle-enhanced electrochemical sensing technologies. Participants will gain hands-on experience in synthesizing nanoparticles, constructing sensors, and applying them in environmental and healthcare settings, advancing their skills in sensor technology and data analysis.

The “Quantum Dots: Their Biological and Sensor Applications” program provides an in-depth exploration of nanoscale semiconductor particles, focusing on their synthesis and diverse applications in biological imaging, diagnostics, and environmental monitoring. Participants will gain practical skills in manipulating quantum dots, fostering innovation in nanotechnology for healthcare and sustainability.

The “Nano-Eye Approach” program provides an in-depth exploration of colorimetric nanosensors used to detect environmental pollutants and pathogenic biomarkers. Participants will learn to synthesize and apply nanoparticle-based sensors for real-time monitoring, enhancing environmental and public health outcomes.

The “Nanogels and Their Biomedical Applications Workshop” provides an in-depth exploration of nanogels, focusing on their synthesis, characterization, and practical applications in drug delivery and tissue engineering. Participants will gain hands-on experience and insights into the innovative uses of nanogels in biomedicine, preparing them for careers in nanotechnology and improving health outcomes.

The “Hydrogel Nanocomposites for Biomedical Applications” program focuses on developing advanced hydrogel-based materials enhanced with nanocomposites for innovative medical treatments. Participants will explore properties, synthesis, and applications of hydrogels in drug delivery, tissue engineering, and biosensors while addressing regulatory considerations and gaining hands-on experience.

The “Carbon Nanoparticles for Antimicrobial & Cytotoxicity Efficacy” workshop educates participants on the synthesis and application of carbon nanoparticles to enhance antimicrobial and cytotoxic solutions. Attendees will gain practical skills and insights into the latest research, exploring real-world applications in pharmaceuticals and healthcare while addressing regulatory considerations related to nanomaterials.

industrial effluent treatment, wastewater management, sustainable water treatment solutions, advanced treatment technologies, regulatory compliance in wastewater, nanotechnology in effluent treatment, environmental engineering programs, chemical engineering in water treatment, environmental compliance training

Kitchen waste quantum dot synthesis, sustainable nanotechnology, green synthesis methods, nanomaterial applications, waste management solutions, carbonaceous nanomaterials, industrial applications of quantum dots

Comprehensive program on silicon nanostructures and carbon nanotubes for next-generation nanoelectronics, focusing on advanced materials for enhanced device performance and scalability.

Comprehensive program on using polymer nanotechnology for wastewater treatment, focusing on innovative materials for water purification and pollution reduction.

Comprehensive program on Nanomaterials in Automotive Applications for the automotive industry, focusing on improving vehicle efficiency, durability, and sustainability.

Comprehensive program on Flexible Electronics Powered by Nanotechnology, focusing on the design and fabrication of advanced, flexible electronic devices.

Comprehensive program on smart sensor technologies for buildings, focused on enhancing sustainability, efficiency, and safety in built environments.

An advanced program exploring smart concretes, focusing on integrating sensors and nanotechnology to enhance concrete durability and sustainability.

Essential Concepts and Fundamentals of Solar Paints technology, focusing on its principles, production, and integration for renewable energy applications.

Comprehensive program focusing on antimicrobial coatings, silver-based solutions, and human health impacts, with hands-on research and theoretical studies.

An intensive one-month program on nanotechnology and optoelectronics, focusing on nanoscale material applications in light-based technologies.

Learn to convert zinc smelter waste into valuable iron and zinc nanoparticles through innovative techniques, focusing on sustainable practices and advanced applications in various industries.

Explore sustainable methods to convert electronic waste into valuable metal oxide nanoparticles, focusing on innovative techniques and practical applications in environmental management and materials science.

Transform electronic waste into valuable metal oxide nanoparticles through innovative recycling techniques in this program, focusing on sustainability and advanced applications in various industries.

Transform kitchen waste into valuable carbon nanomaterials with our innovative program, focusing on sustainable practices and advanced nanotechnology applications for environmental solutions.

Enhance your knowledge and skills in nanotechnology lab safety with our comprehensive program, focusing on risk management, regulatory compliance, and effective safety practices in handling nanoscale materials.

Explore the future of healthcare with our Nanomedicine program, focusing on the application of nanotechnology to enhance disease management through innovative drug delivery systems and treatments.

Dive into the innovative world of bio-nano applications in pharmaceuticals, focusing on advanced drug delivery systems that enhance treatment efficacy and patient safety through cutting-edge nanotechnology.

Gain hands-on experience in nanotechnology for drug delivery systems, focusing on innovative solutions for medical challenges through targeted therapies and advanced materials.

Explore the future of medicine with our Nanobiopharmaceuticals program, focusing on innovative nano-based drug delivery systems to enhance therapeutic efficacy and patient care.

Advance your knowledge in bio-nanotechnology and its applications in healthcare, focusing on innovative solutions for diagnostics, therapeutics, and environmental challenges through hands-on experience and interdisciplinary collaboration.

Unlock the potential of bio-nano technologies through advanced measurement techniques in our one-month program, focusing on the intersection of biotechnology and nanotechnology for real-world applications.

Bionano Medical Technology program provides advanced training in nanotechnology for medical diagnostics and therapies, focusing on practical applications and interdisciplinary learning.

This program focuses on antiviral drug development, covering topics like viral structure, drug discovery, and advanced therapies like CRISPR and RNA interference. Participants will gain practical skills in drug design, clinical trials, and resistance management, equipping them for innovation in the pharmaceutical industry.

This program explores the rapidly evolving field of bioprinting, covering its role in regenerative medicine and drug discovery. Participants will learn the scientific and technical aspects of bioprinting, focusing on bioinks, tissue engineering, and future applications.

Comprehensive bio-nanotechnology program combining biological sciences and nanotechnology principles to develop innovative solutions through hands-on experimentation and interdisciplinary collaboration.

This comprehensive stem cell biology program combines theoretical knowledge with hands-on laboratory experiences in regenerative medicine, covering stem cell technologies, clinical applications, and personalized therapies.

Intensive nanotechnology program focused on advanced nano-characterization and manipulation techniques, offering hands-on experience in cutting-edge research and practical applications across industries.

Intensive one-month nano-synthesis and fabrication program covering synthesis techniques, material characterization, and advanced nanofabrication technologies through hands-on sessions and workshops.

This comprehensive three-month program focuses on CRISPR-Cas systems, from molecular mechanisms to practical applications in genetic engineering and biotechnology. Participants will gain hands-on experience and explore CRISPR’s role in medicine, agriculture, and synthetic biology.

Comprehensive nanostructure program for beginners and professionals, covering synthesis techniques, real-world applications, and interdisciplinary training in nanotechnology.

Intensive program on leveraging nanotechnology for business success through hands-on workshops, expert insights, and case studies, offering strategies to capitalize on nanoscale innovations.

Intensive one-month nanotechnology course combining nano-chemistry, physics, and biology with real-world applications in medicine, materials science, and the environment.

This comprehensive program integrates chemical engineering with biotechnology, focusing on industrial bioprocessing techniques. Participants will learn about biocatalysis, fermentation technology, downstream processing, and bioprocess optimization, preparing them for careers in industrial biotechnology.

This program delves into the science of lactose intolerance, providing participants with practical knowledge to manage dietary needs. It includes seminars, workshops, and hands-on sessions to help understand lactose intolerance and its management.

This program introduces the core principles and applications of nanotechnology, emphasizing its impact across industries such as healthcare, electronics, and energy.

This program covers green nanotechnology’s role in treating industrial effluent, focusing on sustainable practices, regulatory compliance, and innovative nanomaterials for environmental conservation.

This one-month AI Integration in Healthcare Management program explores the use of artificial intelligence to enhance healthcare systems. Participants will learn about AI-driven diagnostics, data analytics, and personalized treatment plans, preparing them for leadership roles in the healthcare sector.

This program focuses on applying nanomaterials to sustainable energy solutions, covering their synthesis, characterization, and integration in energy systems for enhanced efficiency and sustainability.

This comprehensive program delves into the science and technology behind vaccine development, covering everything from immunological principles to modern production techniques and regulatory issues. Participants will gain practical skills in laboratory techniques, data analysis, and will work on real-world projects simulating vaccine development challenges.

This program covers the fundamentals and applications of nanoemulsions, focusing on their impact in pharmaceuticals, food, and personal care industries, highlighting formulation techniques, characterization methods, and industry trends.

The Next-Generation Sequencing (NGS) Data Analysis program provides in-depth training on modern sequencing technologies like Illumina and PacBio, along with bioinformatics tools for genomic data analysis. Participants will learn to process, analyze, and interpret large-scale genomic datasets, preparing them for roles in genomics and biotechnology.

R Programming for Biologists: Beginners Level is a one-month program focused on teaching biologists the essentials of R programming, including data analysis, manipulation, and visualization techniques for biological research.

This beginner-level course, “Python for Biological Data Science,” introduces participants to Python programming with a focus on its applications in biological research. It covers essential programming skills, data analysis, and visualization techniques tailored for biological datasets.

This program focuses on nanotechnology’s integration in the automotive industry, covering nanomaterials’ applications to enhance vehicle performance, safety, and sustainability.

This program focuses on nanotechnology applications in the aerospace industry, covering nanomaterials for aircraft, spacecraft, and propulsion systems to enhance performance, safety, and efficiency.

This program focuses on the design and engineering of Artificial Microbial Consortia (AMC) for bioprocessing applications. Participants will gain expertise in optimizing microbial communities for applications such as biofuel production and environmental remediation, enabling them to apply sustainable biotechnological solutions.

This program focuses on the role of nanotechnology in enhancing oil recovery processes, exploring nanomaterials, mechanisms, environmental benefits, and practical applications in the oil industry.

This program covers the cutting-edge applications of nanotechnology in biomedicine, focusing on medical diagnostics, drug delivery, tissue engineering, and the practical use of nanomaterials for advanced medical solutions.

The “From the Sea to the Lab” program explores the extraction and application of marine biomaterials, providing participants with the skills to transform marine resources into valuable products for biotechnology, medicine, and other industries, with a strong emphasis on sustainability.

The Digital Health and Therapeutics: Trends Analysis program explores the latest innovations in healthcare technology, from AI integration to wearable devices. Participants will gain insights into digital tools, patient care, and the future of health tech.

The Clinical Trial Document Management program focuses on the importance of document control and compliance in clinical research. Participants will master regulatory requirements and gain hands-on experience in managing clinical trial documentation, preparing for leadership roles in clinical operations.

The “Insilico Macromolecular Modeling & Docking” program teaches participants advanced computational techniques for modeling biological macromolecules and performing molecular docking, crucial for drug design and molecular biology. The program covers software like AutoDock and MOE, providing hands-on experience in molecular visualization and simulation.

This program comprehensively introduces Next-Generation Sequencing (NGS) data analysis using the Galaxy platform. Participants will gain hands-on experience in quality control, sequence alignment, variant calling, and bioinformatics workflows, equipping them for real-world genomics research.

Nanotechnology in drug delivery systems, focus on nanoparticle synthesis, characterization, targeted therapy, minimizing side effects, regulatory compliance, commercialization strategies, hands-on case studies in nanomedicine.

Explore the intersection of nanotechnology and pharmaceuticals, one-month program focused on nano-drug delivery systems, regulatory frameworks, and commercialization, hands-on experience with nanomaterial synthesis and applications in medicine.

One-month program focused on green nanotechnology for drug delivery, synthesis of eco-friendly nanoparticles, targeted therapy, nanoparticle characterization, sustainable medical technologies, hands-on lab experience.

This comprehensive one-month Pharmacovigilance program focuses on drug safety, adverse drug reactions, and regulatory compliance. Participants will gain practical skills in monitoring drug safety and evaluating risks throughout the pharmaceutical lifecycle, preparing them for leadership roles in pharmacovigilance.

Explore nanoelectronics and its industrial applications, interdisciplinary program, develop nanoscale devices, collaborate with industry, enhance product performance, drive innovation in industrial sectors, practical applications.

Explore bionanotechnology’s medical applications, interdisciplinary program, design nanomaterials for healthcare, targeted drug delivery, diagnostic biosensors, regenerative medicine, nanoscale engineering, collaborative projects.

This program provides in-depth training on microarray data analysis using R, covering data preprocessing, differential expression analysis, clustering, pathway analysis, and machine learning techniques, preparing participants for genomics research and data-driven decision-making.

Explore nano-pharmaceuticals for drug delivery, month-long course, cutting-edge nanotechnology in medicine, targeted drug delivery, nano-materials like liposomes and dendrimers, expert-led sessions, regulatory challenges.

This one-month program focuses on detecting and analyzing Single Nucleotide Polymorphisms (SNPs) using NGS technologies. Participants will gain hands-on experience in SNP identification, NGS workflows, and bioinformatics tools, with applications in fields like genomics and personalized medicine.

The “Cancer Drug Discovery: Creating Cancer Therapies” program provides comprehensive training in the biology of cancer and the development of innovative therapies. Participants will engage in hands-on exercises and case studies to learn how to design, develop, and test potential cancer drugs.

The Nano Pharmaceuticals & Its Industrial Applications program provides comprehensive knowledge and hands-on experience in nano-based drug delivery, aiming to revolutionize the pharmaceutical industry through innovations in nanotechnology.

The Industry Program In Nanotechnology is designed to introduce participants to the cutting-edge applications and methodologies of nanotechnology in industrial settings. Over one month, students will explore how nanoscale materials can be synthesized, manipulated, and applied to create innovative solutions that enhance product performance and environmental sustainability. The program covers a wide range of topics, from nanostructured materials for energy storage to nanomedicine for targeted drug delivery.

The Integrated Program in Nanotechnology offers an immersive exploration into the world of atoms and molecules at the nanoscale. Over one month, participants will delve into the synthesis, characterization, and application of nanomaterials, learning how these tiny structures can be engineered to solve complex problems in medicine, electronics, and sustainability. The program combines theoretical lectures with hands-on laboratory experiences, providing a dynamic learning environment that mirrors real-world scientific and industrial settings.

This one-month program focuses on protein structure prediction and validation using cutting-edge computational tools. Participants will explore homology modeling, ab initio prediction, and validation techniques, gaining practical skills for both research and industry applications.

This intensive nanosensitization program explores how nanomaterials enhance industrial processes, from environmental remediation to sustainable agriculture, through a mix of lectures and practical sessions.

This program provides participants with comprehensive training in in silico molecular modeling and docking, enabling them to design and optimize drug candidates using computational tools. Through hands-on sessions, participants will gain skills to contribute to drug discovery and development in the pharmaceutical industry.

This comprehensive program explores the challenges and innovations in diabetes drug delivery, covering biochemical mechanisms, current treatments, and advanced drug delivery systems like nanotechnology. Participants will gain hands-on experience in designing and evaluating drug delivery systems, preparing for advancements in diabetes therapy.

This CRISPR-based Gene Therapy Program offers participants the opportunity to dive into the world of genetic medicine, learning the foundations of CRISPR technology and its application in treating genetic diseases. Participants will gain hands-on experience, develop key skills, and explore the future of gene therapy.

The “Waste to Nano-material Production & Industrial Certification” program teaches participants how to convert waste into valuable nano-materials using advanced scientific methods, focusing on sustainability and innovative technology.

This one-month program focuses on transcriptomics, offering an in-depth exploration of RNA sequencing, single-cell analysis, and data interpretation. Participants will gain practical skills in genomic techniques and computational tools, preparing them for advanced research in biology and biotechnology. Perform end-to-end scRNA-seq analysis Interpret biological findings from transcriptomic datasets Understand spatial expression profiles

Dive into the transformative power of nanostructures in pharmaceuticals, enhancing drug delivery, efficacy, and safety through cutting-edge nanotechnology.

This Advanced Molecular Epidemiology program focuses on the intersection of molecular biology and public health. Participants will gain expertise in using molecular tools for disease detection, pathogen characterization, and data analysis to improve public health outcomes and respond to infectious disease outbreaks.

“Explore the cutting-edge field of Semiconducting Nanostructures & Nanomaterials. This program delves into quantum phenomena and semiconductor physics to enhance technological advancements in electronics, photonics, and renewable energy.”

This one-month intensive course covers foundational and advanced topics in neuroscience, including neural signal processing, synaptic transmission, and neural network modeling. Participants will gain both theoretical knowledge and practical experience with computational tools, preparing them for careers or advanced research in computational neuroscience.

This one-month intensive program provides a comprehensive introduction to genomic data analysis. Participants will learn how to access genomic databases, retrieve and analyze data using popular bioinformatics tools like NCBI and UCSC Genome Browser. Through hands-on sessions, attendees will gain practical skills in genomic data interpretation and visualization, preparing them for advanced research in bioinformatics.

Mode: Online / e-LMS | Type: Self Paced | Level: Moderate | Duration: 1 Month

The Advanced Data Manipulation with Pandas and NumPy program is meticulously designed for those in data-intensive fields who seek to leverage the full potential of Python for high-level data analysis. This course focuses on providing hands-on expertise in efficiently handling, processing, and analyzing large datasets with Pandas and NumPy, crucial for cutting-edge research and analytics.

The AI for IoT: Intelligent Integration of AI with the Internet of Things program offers a specialized 10-week program designed to integrate Artificial Intelligence with the Internet of Things. Aimed at students and early career professionals in tech-related fields, the program features comprehensive lectures, practical labs, and real-world case studies in sectors like healthcare and urban planning. Participants will learn to design, deploy, and optimize AI-driven IoT solutions, gaining hands-on experience and a certificate of completion that attests to their expertise in this cutting-edge area.

Blockchain and AI Integration: Enhancing Security and Automation is a 9-week course designed for M.Tech, M.Sc, and MCA students and professionals in IT and fintech services. It explores the fundamentals of both blockchain and AI and demonstrates their combined potential to solve complex challenges in security and automation, particularly in sectors like finance, healthcare, and supply chain management.

The AI in Cyber Security program is a 3-week intensive course that teaches students and early professionals how to apply AI to cyber security. Through hands-on labs and real-world simulations, participants learn AI-driven threat detection, automated response, and network protection, earning a certificate upon completion.

This program emphasizes the ethical considerations of using AI in healthcare, such as fairness, bias, accountability, and patient privacy. Additionally, it covers Explainable AI (XAI) methodologies that ensure transparency, allowing healthcare professionals and patients to understand the decisions made by AI systems. The program integrates hands-on experience with case studies of AI implementations in healthcare, addressing ethical dilemmas and regulatory frameworks.

The Quantum Computing Basics for Advanced Research program delves into the fundamental concepts and technologies underpinning quantum computing. Designed for researchers in computational sciences, physics, and related disciplines, this course equips participants with the necessary knowledge to begin working with quantum computers and to understand their potential impacts on various scientific domains.

This program introduces the core concepts of deep learning, focusing on neural network architectures, optimization techniques, and common applications. Participants will gain a strong understanding of how to implement and train deep learning models, including hands-on practice using Python and deep learning frameworks like TensorFlow and PyTorch.

This program explores the theory and applications of GANs, focusing on their two-component structure (generator and discriminator). Participants will learn how GANs work, delve into advanced variants like DCGAN and CycleGAN, and implement practical projects using GANs for real-world problems such as image synthesis and data generation.

This program covers advanced neural network architectures such as Residual Networks (ResNets), DenseNets, and Transformers. Participants will gain hands-on experience in building, optimizing, and fine-tuning these architectures for various AI applications, focusing on improving model accuracy, generalization, and performance.

This program offers a comprehensive exploration of NLG techniques, teaching participants how AI can automatically generate coherent and contextually accurate human language. The program covers language models, neural architectures, ethical considerations, and hands-on projects focused on implementing NLG in real-world applications like automated writing, chatbots, and content creation.

This program covers key concepts in speech signal processing, Automatic Speech Recognition (ASR), and natural language understanding. Participants will explore deep learning models like RNNs and CNNs for speech recognition, voice command systems, and speech synthesis. Additionally, the course includes practical sessions on implementing ASR systems using Python-based libraries.

This self-paced program delves into the integration of AI in educational settings, emphasizing AI-driven personalization, intelligent tutoring systems, and data-driven strategies to enhance learning experiences. Participants will explore cutting-edge AI applications and their impacts on education.

The AI in Manufacturing and Industry 4.0 course covers the concept of artificial intelligence and automation in the manufacturing industry. Here, learners will know and understand the significance of artificial intelligence and automation in enhancing manufacturing industry growth. It guides learners in acquiring vital information to become efficient in mastering and implementing artificial intelligence in aiming to thrive in an evolving industry.

This program explores how AI-powered solutions are transforming the agricultural sector. Participants will learn to implement AI-driven technologies like drones, sensors, and machine learning models for precision farming, pest control, soil analysis, and crop yield prediction. The course also addresses real-world challenges like climate change and food security, offering AI-based solutions for these pressing issues.

This program explores how AI is transforming the energy and utilities sector by optimizing operations, enhancing renewable energy forecasting, and supporting smart grid management. Participants will learn to implement AI for predictive maintenance, energy trading, and efficient use of renewable resources.

This program covers the use of AI in retail, including recommendation systems, demand forecasting, customer segmentation, and chatbots. Learners will engage with case studies and hands-on projects to understand how AI enhances e-commerce platforms, automates inventory management, and personalizes user experiences.

MLOps is the practice of integrating machine learning workflows into production environments efficiently. This program covers best practices for deploying, monitoring, and maintaining machine learning models in real-world applications. Participants will explore tools for continuous integration, versioning, and model management, focusing on scalability and automation.

This program focuses on the end-to-end process of AI model deployment, exploring cloud-based platforms, containerization, and model serving frameworks like TensorFlow Serving, Flask, and Kubernetes. Participants will gain hands-on experience in deploying models and managing them post-deployment for real-time or batch predictions.

This program covers the essential practices of CI/CD tailored for AI, ensuring that machine learning models can be continuously developed, tested, and deployed without disruptions. Participants will learn how to automate the entire ML pipeline, from data preprocessing and model training to deployment and monitoring.

The program covers the complete process of containerizing AI models and applications using Docker and orchestrating them with Kubernetes. Participants will learn the fundamentals of containerization, deploying AI models, managing dependencies, and scaling AI applications using Kubernetes in both on-premise and cloud environments.

The program delves into the core principles of data engineering for AI, including database management, ETL (extract, transform, load) processes, data warehousing, and cloud computing tools. Participants will learn to build robust and scalable data infrastructures to support machine learning models and AI applications.

The program focuses on integrating AI algorithms with big data tools to enhance analytics capabilities. Participants will learn to use distributed systems like Hadoop and Spark for processing big data and deploying machine learning models for real-time and batch analytics.

Participants will learn how to leverage AI for processing continuous data streams. The program covers stream processing platforms like Apache Kafka and Flink, machine learning models for real-time data, and predictive analytics for instant insights. Emphasis is placed on handling dynamic data at scale using AI.

  Aim The AI in Manufacturing and Industry 4.0 Course is a comprehensive program designed to help learners understand how artificial intelligence and edge AI are transforming modern manufacturing systems. The course explains how AI in manufacturing is used for real-time monitoring, predictive maintenance, automated quality inspection, and intelligent decision-making across smart factories. By combining

The program explores the application of AI in IoT systems, covering AI-driven data analytics, predictive maintenance, smart devices, and automation. Participants will learn how AI can process vast amounts of sensor data, making IoT systems more efficient, scalable, and intelligent.

This program focuses on the integration of AI with robotics, highlighting both hardware and software aspects. Participants will learn about robot kinematics, sensors, actuators, and AI algorithms that enable autonomous navigation, object detection, and manipulation. The course provides hands-on experience in programming robots using AI-driven techniques.

The program delves into the AI and robotics techniques that empower autonomous vehicles, including computer vision, object detection, sensor fusion from LIDAR and radar, and motion planning algorithms. This hands-on course also covers real-world challenges like obstacle avoidance, lane detection, and decision-making for AVs.

The AI in Smart Cities and Infrastructure course is a 3-week program that teaches you how to apply AI technologies to enhance urban planning, infrastructure management, and smart city development. Learn how AI is transforming energy management, transportation, and public services in modern cities.

The Time Series Analysis with AI course is a 3-week program designed to teach you how to apply AI techniques to time series data for forecasting, trend analysis, and decision-making. Learn how to build predictive models that can analyze patterns in data over time.

The Financial Forecasting using AI course is a 3-week program that teaches you how to leverage AI models for accurate financial predictions. Learn to apply AI techniques to predict market trends, forecast financial outcomes, and enhance decision-making in finance.

The AI Project Management course is a 3-week program designed to help professionals manage AI-driven projects effectively. Learn to oversee AI development, ensure timely delivery, and manage multidisciplinary teams while addressing the unique challenges of AI project execution.

The AI Product Development and Lifecycle course is a 3-week program designed to teach you the end-to-end process of AI product innovation—from initial concept to deployment and management. Learn how to build, deploy, and manage AI products through real-world case studies and hands-on projects.

The AI Governance and Compliance course is a 3-week intensive program that teaches how to implement and manage AI governance frameworks and ensure compliance with AI regulations. Learn to mitigate risks and ensure ethical AI deployment in real-world environments.

The AI in Social Media Analysis course is a 3-week program designed to teach you how to leverage AI for analyzing social media data. Learn to extract insights, detect trends, and use machine learning algorithms to enhance social media strategies.

The AI for Psychological and Behavioral Analysis course is a 3-week program that teaches how to leverage AI to understand and analyze human behavior. Learn to use AI tools for behavior prediction, mental health monitoring, and psychological analysis.

The Ethical Hacking and AI Security course is a 3-week program designed to teach you how to protect AI systems from cyber threats. Learn essential skills in ethical hacking, vulnerability assessment, and AI-specific security protocols.

The Python Language – Use in AI course is a 6-week program that teaches how to leverage Python for developing AI and machine learning applications. Learn to use essential libraries such as NumPy, TensorFlow, and Scikit-learn to build AI solutions.

The Reinforcement Learning course is a 4-week intensive program that dives deep into the world of AI-based decision-making. Learn the fundamentals of reward-based learning algorithms and how to apply them in real-world scenarios like robotics, gaming, and autonomous systems.

The Computer Vision and Image Processing course is a 12-week program designed to help you explore AI-driven visual data analysis. You’ll learn to apply techniques such as image recognition, object detection, and neural networks, gaining the practical skills necessary to build advanced computer vision applications.

The Advanced Machine Learning course is a 6-week intensive program designed to help you master cutting-edge machine learning algorithms, deep learning frameworks, and AI applications. Perfect for professionals looking to enhance their expertise in AI and data science.

The Natural Language Processing (NLP) course is a 4-week program designed to teach you the essential techniques and tools for processing human language data with AI. This course is ideal for professionals and enthusiasts looking to master text analysis, sentiment analysis, and NLP model development.

This 6-week course is designed to provide a strong foundation in Machine Learning and AI. Through hands-on projects and real-world applications, you’ll learn how to use cutting-edge technologies to solve complex problems. Suitable for beginners and professionals looking to upskill, this course will empower you with the knowledge to advance your career in AI.

Strength Meets Versatility: The Power of CFRP Registration Ends: 2024-09-25 (Indian Standard Timing 1:00 PM) Workshop Dates: 2024-09-25 to 2024-09-27 (Indian Standard Timing 2:00 PM)

Revolutionizing Cancer Treatment: Harnessing AI for Precision Drug Delivery

R Programming for Bioinformatics: Unlock Data, Drive Discovery! Registration Ends: 2024-09-24 (Indian Standard Timing 7:00 PM) Workshop Dates: 2024-09-24 to 2024-09-26 (Indian Standard Timing 8:00 PM)

This comprehensive workshop covers the integration of AI in renewable energy, smart grids, energy storage, and market trading. Participants will learn cutting-edge AI technologies to forecast energy demand, manage grids, and optimize energy efficiency for industrial and commercial applications.

Aim This course explores the integration of Artificial Intelligence (AI) with cancer drug delivery systems. Participants will learn how AI can enhance the design and optimization of drug delivery methods to target cancer cells more efficiently, reduce side effects, and improve therapeutic outcomes. The course covers cutting-edge AI techniques applied to cancer treatment, such as

This 1-2 hour workshop introduces participants to AI’s transformative role in biomarker discovery, highlighting machine learning and deep learning techniques, case studies in healthcare, and model validation methods. The workshop also covers the challenges in handling large-scale biological data and ethical considerations in AI-driven research.

Course Overview This 8-week program is designed to take you on an exciting journey into the world of data visualization, where you’ll learn how to transform raw data into meaningful, visually compelling insights. By mastering three essential Python libraries—Pandas, Matplotlib, and Seaborn—you will gain the skills needed to create stunning and effective visualizations. Whether you’re a data scientist, analyst, researcher, or anyone working with data, this course will provide you with the tools to elevate your data storytelling abilities.

Course Overview Data Analysis – Use in AI is a 10-week advanced course designed to provide a deep dive into data analysis and its crucial role in Artificial Intelligence (AI). This course covers statistical methods, data management, and predictive analytics, helping participants build the skills to handle, analyze, and interpret data effectively. With hands-on learning, participants will enhance their ability to drive AI innovations through actionable insights from data.

Course Overview Data Visualization – Use in AI is a 10-week advanced course designed to explore the critical role of data visualization in Artificial Intelligence (AI). Participants will learn how to create impactful visuals that convey complex information effectively, using both basic charting and advanced interactive visualizations. The course covers a range of tools and techniques essential for AI-driven data interpretation and decision-making

Course Overview R Language – Use in AI is an 8-week comprehensive program designed for M.Tech, M.Sc, and MCA students, as well as professionals from industries like BFSI, IT services, and consulting. This course introduces participants to the use of R in data science, machine learning, deep learning, and natural language processing (NLP). Participants will gain practical skills and deep insights into integrating R with AI-driven projects, equipping them to solve real-world problems across sectors such as business analytics and healthcare.

Course Overview TensorFlow – Use in AI is a 12-week advanced course designed for M.Tech, M.Sc, and MCA students, as well as professionals in IT, BFSI, consulting, and fintech. This comprehensive course covers everything from foundational concepts to advanced applications of TensorFlow in artificial intelligence (AI) and machine learning (ML). Through hands-on learning, participants will build, train, and deploy sophisticated models to tackle real-world problems across industries.

Course Overview PyTorch – Use in AI is a 12-week intensive course designed for M.Tech, M.Sc, and MCA students, as well as E0 & E1 level professionals, who are keen to master PyTorch, a powerful deep learning framework. This course covers PyTorch fundamentals, neural network construction, model training, and real-world applications, equipping participants to solve complex AI challenges in various industries like healthcare and autonomous systems.

Course Overview Scikit-learn – Use in AI is an 8-week comprehensive course designed for M.Tech, M.Sc, and MCA students, as well as E0 & E1 level professionals interested in mastering Scikit-learn, one of the most popular machine learning libraries. This course covers everything from data preprocessing and model validation to supervised and unsupervised learning, model optimization, and real-world AI applications. Participants will also explore how Scikit-learn integrates with other AI technologies like TensorFlow and PyTorch.

Course Overview Keras – Use in AI is an in-depth 8-week course tailored for M.Tech, M.Sc, and MCA students, as well as professionals in IT and related fields. This course is designed for individuals eager to explore neural networks and their applications using the Keras library. Participants will learn to build, train, and deploy deep learning models efficiently, applying these techniques to real-world AI projects such as image recognition and time series analysis.

Course Overview Pandas – Use in AI is a comprehensive 6-week course designed for M.Tech, M.Sc, and MCA students, as well as professionals in IT, data science, and related fields. This course focuses on mastering data handling, cleaning, manipulation, and visualization using the Pandas library, specifically for preparing data for AI models. Participants will learn how to efficiently manipulate large datasets and integrate Pandas into machine learning workflows for real-world applications.

Course Overview NumPy – Use in AI is an 8-week intensive course designed for M.Tech, M.Sc, and MCA students, as well as E0 & E1 level professionals. This course introduces participants to the powerful NumPy library, covering essential techniques for efficient numerical computations in AI. It emphasizes operations on large arrays and matrices, which are crucial for machine learning and data analysis tasks.

Overview(1.5 hours workshop) The Advanced AI and Ethics: Governance and Regulation self-paced workshop is designed for professionals, researchers, and students seeking a deeper understanding of AI governance, regulation, and ethical decision-making. This online workshop offers high-quality video lectures by top AI ethics mentors, covering real-world applications and emerging trends in AI ethics. Participants have the flexibility to learn at their own pace, with access to dedicated chat support to assist with queries and ensure a smooth learning experience. No live mentor required—learn independently and earn a certificate of completion.

Course Overview The AI Applications in Pharmacy: Leveraging Technology for Innovative Healthcare Solutions program delves into the transformative role of artificial intelligence (AI) in modern pharmacy practice. Participants will explore cutting-edge AI technologies tailored for pharmaceutical settings, enhancing drug discovery, patient care, and medication management. The program combines theoretical knowledge with practical applications, equipping professionals to optimize drug development processes, identify personalized treatment options, and streamline pharmacy operations. By leveraging AI tools like predictive analytics and machine learning, participants will gain insights into improving medication adherence, detecting adverse drug reactions, and advancing pharmacy’s contribution to healthcare innovation.

Course Overview This specialized 8-week course is tailored for participants aiming to pioneer AI-driven innovations in the diagnostic and medical devices sector. Covering the fundamentals of AI and machine learning (ML) technologies, the course explores their applications in diagnostics, imaging, wearable tech, and the regulatory landscape shaping these advancements.

Course Overview This 8-week course is meticulously designed for healthcare professionals seeking an in-depth understanding of artificial intelligence (AI) and machine learning (ML) applications in healthcare and clinical analytics. Participants will explore how AI can be leveraged to analyze healthcare data, improve diagnostics, optimize treatment planning, and provide public health insights.

Course Overview This 8-week course dives deep into the cutting-edge innovations and best practices in telehealth technologies. Participants will explore AI-driven telemedicine solutions, learning about the regulatory frameworks, patient engagement strategies, and technological advancements shaping telehealth today. This course is perfect for healthcare professionals, IT specialists, and innovators looking to design and implement impactful telehealth programs.

Course Overview This dynamic 8-week course is designed to empower aspiring healthcare innovators and entrepreneurs with the knowledge, skills, and insights necessary to drive advancements in the healthcare sector. Participants will explore the fundamentals of innovation, entrepreneurship, and business strategy within the context of healthcare. The course teaches how to identify opportunities, develop viable healthcare solutions, and navigate the complexities of the healthcare market.

Course Overview This 8-week course is designed to provide healthcare professionals with a deep understanding of how digital technologies are transforming healthcare systems, processes, and patient care. Participants will explore strategic planning, data analytics, AI, IoT, and blockchain, equipping them with the knowledge to lead digital transformation in healthcare settings.

Course Overview This 8-week course offers an in-depth examination of the ethical, legal, and governance issues surrounding the use of artificial intelligence in healthcare. It is designed to equip healthcare professionals, policymakers, and technologists with the knowledge and skills needed to ensure that AI technologies are developed, deployed, and governed ethically and responsibly within healthcare settings.

Course Overview This 8-week course offers an intensive blend of learning and practical application, covering everything from foundational AI concepts to complex regulatory compliance and ethical considerations within the BFSI (Banking, Financial Services, and Insurance) sector. Participants will gain the knowledge and skills needed to leverage AI for effective risk management, ensuring financial stability and compliance in an evolving landscape.

Course Overview This 8-week course is designed to equip participants with advanced knowledge and skills in utilizing artificial intelligence to detect and prevent fraud within the Banking, Financial Services, and Insurance (BFSI) sector. The course focuses on practical applications and cutting-edge technologies, offering a comprehensive understanding of how AI can be leveraged to enhance financial integrity.

Course Overview AI in Financial Modeling: Advanced Predictive Techniques is a 12-week advanced course designed for M.Tech and M.Sc students in Computer Science and IT, as well as professionals in the BFSI, analytics, and fintech sectors. The course covers the application of AI in financial modeling, including machine learning algorithms, neural networks, and natural language processing to interpret and predict financial outcomes. Participants will engage in video lectures, hands-on labs, and live expert sessions to learn how to develop and implement AI models that drive financial decisions and strategies.

Course Overview AI for Supply Chain Management: Optimizing Logistics with Artificial Intelligence is an 8-week advanced program designed for M.Tech and M.Sc students, as well as professionals in BFSI, IT services, and consulting. This course explores AI applications in areas like forecasting, inventory management, and transportation logistics. Participants will learn to develop and implement AI models to optimize supply chains, enhancing operational efficiency and decision-making.

Course Overview AI in Risk Management: Advanced Techniques for Financial Stability is an 8-week intensive program designed for M.Tech, M.Sc, and MCA students, as well as professionals in BFSI and fintech. This course explores the application of AI in key areas of risk management, such as credit scoring, fraud detection, and market risk analysis. Participants will acquire the skills to develop AI-driven solutions that effectively mitigate financial risks, ensuring stability and innovation in the financial services sector.

Course Overview AI for Business Automation: Streamlining Operations through Intelligent Solutions is a 10-week program designed for M.Tech, M.Sc, and MCA students in IT and Computer Science, as well as professionals in BFSI, IT services, and fintech. This course covers the development and deployment of AI models to automate various business functions, such as customer service, HR operations, and financial management. The emphasis is on practical applications, with real-world case studies illustrating the impact of AI on business operations.

Course Overview AI-powered Customer Experience: Enhancing Engagement and Satisfaction is an 8-week course tailored for M.Tech, M.Sc, and MCA students, as well as E0 & E1 level professionals in IT and related sectors. The course delves into the use of AI technologies in customer service, including chatbots, recommendation systems, sentiment analysis, and more. Participants will gain both practical skills and theoretical knowledge needed to implement AI-driven enhancements in customer experience.

Course Overview AI Leadership and Strategy: Transforming Business with Artificial Intelligence is an 8-week course designed for senior undergraduates, graduate students, and professionals in management and technology fields. The curriculum covers the fundamentals of AI, its applications in business, and strategic planning for AI integration. Through expert-led lectures, interactive case studies, and strategic planning workshops, participants will learn how to lead AI initiatives that drive business success.

Course Overview This 8-week intensive course is tailored for advanced undergraduates, graduate students, and professionals eager to explore the intersection of quantum computing and AI. Through comprehensive tutorials, participants will learn how to simulate quantum circuits, develop quantum algorithms, and apply these techniques to AI tasks. The course offers a unique opportunity to dive into this cutting-edge technology, preparing participants to contribute to the future of quantum machine learning.

Course Overview This 12-week intensive program is designed to teach participants how to integrate Artificial Intelligence into cybersecurity practices effectively. Targeted at computer science and IT students, as well as early-career professionals, the course offers interactive lectures, hands-on labs with AI tools, and real-world simulations. Participants will learn to enhance threat detection, automate security responses, and strengthen network security using AI-driven technologies. By the end of the course, learners will earn a certificate of completion, equipping them with the skills needed to lead in the ever-evolving field of cybersecurity.

Course Overview This self-paced course explores the ethical dimensions of AI, focusing on critical issues like privacy, bias, accountability, and policy development. Participants will learn how to create and implement ethical frameworks and policies that guide the responsible use of AI technologies across various sectors.

Course Overview This self-paced program delves into the latest techniques and methodologies for interpreting complex AI models. Participants will learn how to apply these techniques to make AI systems more transparent, enhancing both trust and accountability in various AI applications.

Course Overview This one-hour program provides an introduction to the fundamentals of Python, with a focus on its applications in data science. Participants will learn how to use Python for data manipulation, basic data analysis, creating visualizations, and understanding the basics of machine learning. This course is designed to give learners the essential tools needed to start working with data using Python.

Course Overview This self-paced specialization offers a comprehensive dive into deep learning, covering both the theoretical foundations and practical implementations. Participants will build expertise in neural networks, convolutional networks, sequence models, and other advanced topics, equipping them for cutting-edge AI research and development.

Course Overview This self-paced program explores the dynamic intersection of AI and the creative arts, delving into techniques for generative art, music composition, and creative writing. Participants will learn how to harness AI to innovate and elevate their creative processes, blending cutting-edge technology with artistic expression to create something truly unique.

This self-paced program delves into the pivotal role of AI in promoting environmental sustainability. It covers advanced techniques in climate modeling, natural resource management, and enhancing the efficiency of renewable energy. Participants will gain hands-on experience in applying AI to address real-world environmental challenges, driving sustainable practices forward.

Overview In this comprehensive program, you’ll embark on a journey through the dynamic world of data visualization, learning how to effectively convey insights through powerful visuals. This immersive experience is designed to equip you with the knowledge and skills to maximize the potential of three key Python libraries: Pandas, Matplotlib, and Seaborn. Whether you’re an experienced data scientist, a detailed-oriented analyst, a curious researcher, or someone who frequently works with data, this program is crafted to provide you with essential tools and techniques to elevate your data storytelling abilities.

Overview This program, offered by NanoSchool, is designed to provide participants with essential skills in data visualization and analysis using Tableau. The course covers key areas such as creating interactive dashboards, integrating data from various sources, and utilizing Tableau for business intelligence to support data-driven decision-making. Led by Dr. Chitra Dhawale, an expert in the field, this course combines theoretical knowledge with practical applications, ensuring participants can confidently use Tableau in real-world business scenarios.

An in-depth online course focused on mastering Natural Language Processing (NLP), featuring hands-on projects and expert-led instruction to advance your AI and text analysis skills.

The workshop on Designing and Engineering of Artificial Microbial Consortia (AMC) for Bioprocess: Application Approaches aims to provide a comprehensive understanding of the principles and techniques involved in constructing and optimizing artificial microbial consortia for bioprocessing applications.

Advance your career with the Data Analytics and AI Drug Development Course. Master AI, machine learning, and data-driven techniques to accelerate drug discovery, optimize clinical trials, and unlock insights from complex biomedical data. Gain hands-on experience, industry-ready skills, and the confidence to lead innovation in pharma and healthcare.

Aim: The aim of the workshop is to empower biologists with essential skills in R programming, fostering a comprehensive understanding of its applications in biological research. This workshop aims to demystify the complexities of R, providing participants, from beginners to intermediate users, with a solid foundation in utilizing R for data analysis in the biological sciences. Through a combination of theoretical knowledge and hands-on practical sessions, attendees will gain proficiency in data manipulation, statistical analysis, and visualization, enabling them to harness the full potential of R as a powerful tool for extracting meaningful insights from biological datasets. By the end of the workshop, participants will be equipped with the confidence and skills necessary to integrate R seamlessly into their research workflows, ultimately enhancing the efficiency and depth of their biological analyses.

Aim: To build three-dimensional protein structure models and validation from scratch. The workshop aims to equip participants with advanced skills in Protein Structure Prediction and Validation, fostering a deeper understanding of computational tools and methodologies in Structural Biology. This workshop intends to provide an arena for students, faculty and researchers in discussing the following topics as well as to provide hands on training in the following key areas in structural biology.

Aim: The aim of the “Microarray Data Analysis using R” workshop is to equip participants with the practical skills and knowledge required to proficiently analyze microarray data using the R programming language, enabling them to uncover meaningful insights, identify differentially expressed genes, and effectively contribute to genomics research and data-driven decision-making in both academic and professional settings.

Aim: To understand the basic concepts of supervised machine learning and the different types of supervised learning algorithms.

Aim: The workshop aims to provide participants with a comprehensive overview of CRISPR-Cas gene editing technology and its applications. The workshop will cover the basics of CRISPR-Cas, including how it works, different types of CRISPR-Cas systems, and its potential impact on various fields, such as basic research, translational research, and gene therapy.

Aim: The aim of Gene Expression Analysis using R Programming is to provide participants with the necessary knowledge and skills to effectively explore, analyze, and interpret gene expression data using the R programming language. This workshop seeks to empower researchers, biologists, bioinformaticians, and students with a powerful computational toolset to gain valuable insights into the molecular basis of biological processes and diseases.

Aim: The aim of this workshop would be to provide participants with a comprehensive understanding of green hydrogen, its production, and its potential applications in industry. The workshop would cover the basics of green hydrogen, its benefits over traditional hydrogen production methods, and its potential for reducing greenhouse gas emissions.The workshop will explore the potential of green hydrogen as a clean and renewable energy source for powering fuel cell electric vehicles. It will cover topics such as the production, storage, and distribution of green hydrogen, its use in fuel cell electric vehicles, and its potential to replace fossil fuels.

Aim: The workshop “Nanoantibiotics: Applications and Future Trends” aims to provide participants with a clear understanding of the diverse applications of nanoantibiotics in healthcare. It explores their potential in targeted drug delivery, improved treatment outcomes, and addressing antibiotic resistance. By discussing current research and future trends, the workshop equips participants with insights to navigate and contribute to the evolving field of nanoantibiotics in healthcare practices.

Aim: The aim of a workshop is to provide participants with a focused and immersive learning experience aimed at developing specific skills, enhancing knowledge, or addressing particular challenges. Workshops are structured to offer practical insights, hands-on training, and interactive discussions, tailored to achieve predefined objectives. Whether concentrating on skill development, problem-solving, innovation, or education, the overarching goal is to equip attendees with actionable tools, strategies, and a deeper understanding within a defined subject area, encouraging active engagement and empowering participants to apply their newfound expertise in their professional or personal pursuits.

Aim: To provide advanced-level training on python for biologists, focusing on specialized libraries and tools used in bioinformatics and computational biology.

Aim: The aim of the workshop is to gain insights into the tools for effective writing, and referencing to enhance the quality and credibility of their academic work.

Aim: The aim of the NANOmedX workshop is to illuminate the game-changing role of nanotechnology in drug delivery. By fostering knowledge exchange and collaboration, the workshop empowers participants to leverage nanomedicine’s potential for precise and effective therapies, bridging the gap between research and real-world applications to advance patient care.

Aim: To provide a comprehensive overview of the R programming language, from the basics to advanced topics, in order to enable participants to effectively use R for data analysis, statistical modeling, and data visualization.

The aim of this workshop is to provide participants with hands-on experience in utilizing R Studio for computational biology and bioinformatics tasks. Participants will gain practical skills in analyzing DNA and protein sequences, constructing phylogenetic trees, conducting differential gene expression analysis, and performing functional annotation using R.