M.Tech — Artificial Intelligence — covered
Dr B R Ambedkar National Institute of Technology, Jalandhar
Mapped from the programme's published course outcomes and academic-repository syllabi. Every course below links to the wiki domain(s) that teach its topics; laboratory courses map to the practice sets inside those lessons.
176 free lessons across 44 chapters, each with an interactive visualization and a practice set.
Semester 1
- AI-501Mathematical Foundations for AI
- AI-505Advanced Data Structures and Algorithms
- AI-507Principles of Artificial Intelligence and Machine Learning
- AI-509Machine Learning for Time Series Forecasting
- AI-523Python Programming Laboratory
- AI-525Advanced Data Structures and Algorithms Laboratory
- AI-527Machine Learning Laboratory
- AI-611Advanced Data Management, Engineering and Preprocessing for AI
- AI-613Advanced Machine Learning Models for Data Analytics
- AI-621Generative AI Fundamentals
- AI-623Applied Generative AI and Prompt Engineering
Semester 2
- AI-502Computer Vision and Natural Language Processing
- AI-504Foundations of Deep Learning
- AI-506Concurrent Programming
- AI-508Reinforcement Learning
- AI-524Deep Learning Laboratory
- AI-526Concurrent Programming Laboratory
- AI-612Advanced AI for Unstructured Data and Strategic Analytics
- AI-614Advanced Data Engineering for AI System
- AI-622Large Language Models
- AI-624Agentic AI
Foundations across the programme
- AI-501Linear algebra
- AI-501Probability & statistics
- AI-503 / AI-523Python programming
- AI-507 / AI-525Data structures & algorithms
- AI-505 / AI-611 / AI-614Data science & data engineering
- AI-511 / AI-602MLOps & deployment
- AI-619 / AI-506GPU & concurrent systems