BTech AI & Machine Learning Syllabus

Mapping the Course for Future AI Engineers

Mathematics for Intelligent Systems

Mathematical foundations: Linear algebra, calculus, probability, and statistics.

Programming in Python

Basics of Python programming, a key language for AI and ML.

Data Structures and Algorithms

Essential data structures and algorithms for AI and ML.

Artificial Intelligence Fundamentals

Covers AI basics: Search, reasoning, planning, learning, and natural language processing.

Machine Learning Principles

Principles of ML: Supervised learning, unsupervised learning, and reinforcement learning.

Deep Learning

In-depth exploration of neural networks and deep learning techniques.

Robotics in AI

Integration of robotics principles with AI technologies.

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