Generative AI
Professional Certificate Program in Generative AI and Machine Learning
Gain industry-ready expertise in generative AI and machine learning to advance your professional career.
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Intermediate
Updated 11/2025
Hinglish
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Course Description
The Generative AI and Machine Learning course enriches your career journey with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it offers live virtual sessions, projects with integrated labs, and masterclasses by IIT Guwahati faculty.
1. Introduction to AI and Machine Learning
4 Lectures
Introduction to Artificial Intelligence and Machine Learning
Fundamentals of AI and Machine Learning
Principles of Artificial Intelligence and Machine Learning
Overview of AI and ML Concepts and Techniques
2. Python for AI and ML
4 Lectures
Python for Artificial Intelligence and Machine Learning
Fundamentals of Python for AI and ML
Introduction to Python Programming for AI and Machine Learning
Core Python Concepts for AI and ML Applications
3. Data Science and Exploratory Data Analysis (EDA)
4 Lectures
Introduction to Data Science and Exploratory Data Analysis
Fundamentals of Data Science and EDA
Principles of Data Science and Data Exploration
Data Science Foundations: Exploratory Data Analysis
4. Fundamentals of Machine Learning
4 Lectures
Introduction to Machine Learning Concepts and Algorithms
Fundamentals of Machine Learning
Principles of Machine Learning
Core Concepts in Machine Learning
5. Deep Learning and Neural Networks
4 Lectures
Introduction to Neural Networks and Deep Learning
Fundamentals of Deep Learning and Neural Network Architectures
Principles of Deep Neural Networks
Deep Learning Foundations: Neural Network Models and Techniques
6. Generative AI Concepts
4 Lectures
Introduction to Generative AI
Fundamentals of Generative Artificial Intelligence
Principles and Foundations of Generative AI
Core Concepts of Generative Artificial Intelligence
7. Natural Language Processing (NLP)
4 Lectures
Introduction to Natural Language Processing and Text Analytics
Fundamentals of Natural Language Processing
Principles of NLP and Language Understanding
Natural Language Processing: Concepts and Techniques
8. AI Model Deployment and Production
4 Lectures
Introduction to AI Model Deployment and Operationalization
Fundamentals of Deploying AI Models into Production
Principles of AI Model Deployment and Production Management
Operationalizing AI: Deployment and Production Best Practices
9. Tools and Platforms
4 Lectures
Introduction to AI and ML Tools, Frameworks, and Platforms
Fundamentals of AI Tools and Platforms
Principles of AI Platforms and Development Tools
AI and Machine Learning Ecosystem: Tools and Platforms
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Frequently Asked Questions
This course provides comprehensive knowledge with practical examples for
beginners and professionals.
No prior experience required. We start with basics and progress to
advanced topics.