Big Data Analytics & Artificial Intelligence: From Fundamentals to Integration
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Course Overview
Table of Contents
Workshop Registration End Date :2025-05-15
Limited SeatsClosing Soon
Big Data Analytics & Artificial Intelligence: From Fundamentals to Integration
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Program Syllabus
Module 1
About
In today’s data-driven world, the ability to analyze large datasets and leverage Artificial Intelligence (AI) has become a cornerstone of innovation and decision-making across industries. This workshop, Big Data Analytics and AI, provides a deep dive into the fundamentals, tools, techniques, and applications of these transformative technologies.
Module 2
Aim
The aim of this workshop is to equip participants with a comprehensive understanding of Big Data Analytics and Artificial Intelligence, focusing on their integration, tools, and techniques to analyze vast datasets and derive actionable insights. The workshop is designed to empower attendees with the knowledge and practical skills needed to harness the transformative potential of Big Data and AI in solving real-world problems and driving innovation across various industries.
Module 3
Workshop Objectives
- Understand Concepts: Learn the fundamentals of Big Data, AI, and their integration.
- Build Skills: Gain hands-on experience with tools like Hadoop, Spark, and AI algorithms.
- Apply Knowledge: Solve real-world problems using Big Data and AI techniques.
- Explore Trends & Ethics: Discuss emerging technologies and address ethical considerations like privacy and bias.
- Boost Careers: Develop in-demand skills for roles in Big Data, AI, and related fields.
Module 4
Workshop Structure
Module 5
🔹 Day 1: Foundations of Big Data & AI
- Key Characteristics of Big Data (5Vs)
- Fundamentals of AI and Machine Learning
- Real-world Applications Across Domains
- Hands-On: Data exploration & visualization using Python (Colab)
Module 6
🔹 Day 2: Tools, Techniques & Integration
- Overview of Hadoop, Spark, Kafka (Conceptual)
- AI Techniques: Clustering, Classification, NLP
- Big Data-AI Integration Strategies
- Hands-On: ML model development using PySpark or scikit-learn
Module 7
🔹 Day 3: Advanced Topics & Implementation
- Emerging Areas: Edge AI, AutoML, Federated Learning
- AI Governance: Fairness, Explainability, Deployment Challenges
- Scalable Architecture on Cloud Platforms
- Hands-On: End-to-end mini project – Ingest → Train → Visualize
Module 8
Intended For
This workshop is open to:
- Students: From computer science, data science, engineering, and related fields.
- Professionals: Data analysts, IT experts, and AI enthusiasts.
- Academicians & Researchers: Incorporating Big Data and AI into their work.
- Entrepreneurs: Leveraging data for growth.
Module 9
Important Dates
Module 10
Registration Ends
2025-05-15
Indian Standard Timing 4 pm
Module 11
Workshop Dates
2025-05-15 to 2025-05-17
Indian Standard Timing 5 PM
Module 12
Workshop Outcomes
By the end of the workshop, participants will:
- Understand the fundamentals of Big Data and AI, including their integration.
- Gain hands-on experience with tools like Hadoop, Spark, Python, and R.
- Apply AI algorithms to real-world datasets for practical problem-solving.
- Explore industry applications and emerging trends in Big Data and AI.
- Earn a certificate to validate their skills.
- Build a foundation for careers in Data Science, AI, and Big Data.
This workshop empowers you to leverage Big Data and AI effectively in your field!
Module 14
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 18
Industry Professional
INR. 4999
USD. 75
List of Currencies
Module 19
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 20
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 21
Future Career Prospects
This workshop prepares you for roles like:
- Data Science & Analytics: Data Scientist, Analyst, or Business Analyst in sectors like healthcare, finance, and retail.
- AI & Machine Learning: AI Engineer, Machine Learning Specialist in cutting-edge fields like robotics and NLP.
- Big Data Engineering: Big Data Engineer, Hadoop Developer, or Cloud Specialist.
- Research & Entrepreneurship: Innovating AI-driven products or solutions.
Module 24
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 25
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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