Machine Learning: Foundations, Tools, and Future Trends
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Course Overview
Workshop Registration End Date :2025-03-25
Program Syllabus
Module 1
About
The Machine Learning: Foundations, Tools, and Future Trends workshop provides an in-depth introduction to the principles of machine learning, covering key concepts, tools, and applications. Participants will learn about supervised and unsupervised learning techniques, model training, evaluation, and deployment. The workshop will also highlight future trends such as deep learning, AI ethics, and automation in ML development.
Module 2
Aim
To equip participants with a strong foundation in machine learning (ML), introduce essential tools and frameworks, and explore emerging trends shaping the future of ML applications across industries.
Module 3
Workshop Objectives
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.
Limited SeatsClosing Soon
Machine Learning: Foundations, Tools, and Future Trends
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
- To introduce participants to the fundamentals of machine learning.
- To provide hands-on experience with ML tools and libraries.
- To train participants in data preprocessing, model building, and evaluation.
- To explore the deployment and optimization of ML models.
- To discuss emerging trends and ethical considerations in ML.
Module 4
Workshop Structure
Module 5
Day 1: Understanding Machine Learning & Its Ecosystem
- Introduction to Machine Learning (ML) and its relationship with AI
- How ML works: Datasets, Algorithms, and Functions
- Types of Machine Learning: Supervised, Unsupervised, Semi-Supervised, Reinforcement Learning
- Difference between Machine Learning & Deep Learning
- Python & ML: Why Python is the preferred language?
- Industry Applications: AI-ML in healthcare, finance, security, and automation
- Q&A Session
Module 6
Day 2: ML Models & Algorithms – Building the Foundation
- Understanding ML Models: Regression, Classification, Clustering
- Supervised Learning: Linear & Logistic Regression, Decision Trees
- Unsupervised Learning: K-Means Clustering, PCA
- Deep Learning Overview (Introduction to Neural Networks)
- Model Optimization: Overfitting, Underfitting, Bias-Variance Tradeoff
- Case Study: Real-world ML Model Implementation
- Q&A Session
Module 7
Day 3 : Hands-on with Python & ML Tools
- Setting up Python for ML (Jupyter Notebook, Anaconda)
- Important Python Libraries
Module 8
Day 4 : Hands-on with Python & ML Tools
- Step-by-Step Building ML Models in Python
- Implementing Machine Learning Algorithms using python
- Q&A Session
Module 9
Day 5: Real-World Applications & Career Pathways in ML
- Career Paths in Machine Learning: ML Engineer, Data Scientist, AI Researcher
- How to Master ML: Certifications, Courses, and Learning Platforms
- Building Your ML Portfolio: Open-source projects & Kaggle competitions
- Industry Collaboration: ML use-cases in academia & corporate settings
- Live Q&A & Closing Remarks
Module 10
Participant’s Eligibility
- Students, researchers, and professionals interested in AI/ML
- Data scientists and software developers
- Business analysts and engineers exploring ML applications
- Entrepreneurs and innovators looking to integrate ML into their businesses
Module 11
Important Dates
Module 12
Registration Ends
2025-03-25
Indian Standard Timing 5:00 PM
Module 13
Workshop Dates
2025-03-25 to 2025-03-29
Indian Standard Timing 7 PM
Module 14
Workshop Outcomes
- Strong foundation in machine learning principles and applications
- Hands-on experience with ML tools and frameworks
- Ability to build, evaluate, and deploy ML models
- Awareness of ethical considerations and future trends in ML
- Preparedness for advanced studies or career opportunities in ML and AI
Module 15
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Mentor Profile
Module 16
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 20
Industry Professional
INR. 5999
USD. 125
List of Currencies
Module 21
FOR QUERIES, FEEDBACK OR ASSISTANCE
Email : info@nstc.in
Module 22
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 23
Future Career Prospects
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Business Intelligence Analyst
- AI Product Manager
Module 24
Job Opportunities
- ML Developer in tech startups and enterprises
- AI Research Associate in academic institutions
- AI Consultant for business automation
- Cloud AI Engineer for scalable AI solutions
- NLP and Computer Vision Engineer
Module 27
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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Instant Access
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