The courses that are offered in the course of BTech in AI course differs from university to university. Here, the subjects which are usually offered by most of the institute are provided below:

Semester 1

Calculus-I

Intro to AI

Discrete Maths

English Communication

Intro to Programming

Modern Physics

Environmental Chemistry

Calculus-II

Semester 2

Vector Calculus

Differential Equations

Bioengineering

Engineering Electives

Programming for AI

LA/CA Elective

Probability and Random Variables

Digital Fabrication

Artificial Intelligence

Series of Functions

Semester 3

Data Structures

Personality Development

AI and Humanity

Linear Systems and Signal processing

DBMS - I

Matrix Theory

Foundations of Machine Learning

Introduction to Metric Spaces

Semester 4

Convex Optimization

Deep Learning

Algorithms

Applied Statistics

DBMS - II

Compilers - I

Intro to Entrepreneurship

Semester 5

Numerical Analysis

Control Systems

OS - I

Advanced Topics in ML

Reinforcement Learning

Computer Networks-I

Computer Architecture

Semester 6

AI Electives

Engineering Electives

Semester 7

AI Electives

LA/CA Elective

Robotics

Semester 8

AI Electives

Free Electives

Ethics and Values

Elective Subjects

Data Analytics

AI, Neuroscience and Natural Intelligence

Predictive Analysis

Computational Neuroscience Lab

Big Data: Tools and Techniques

Applications of AI in Healthcare

Cloud Computing

Theoretical & Computational Neuroscience

Distributed Systems

Movement Science and Disorders

Graph Analytics for Big Data

Movement Sciences Lab

Time Series Analysis

Brain Machine Interfaces

Data Mining

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Language Technologies

Speech and Vision

Natural Language Processing

Computer Vision

Text Processing

Surveillance Video Analytics

Information Retrieval

Image and Video Processing

Speech Systems

Core AI and ML

Data Analytics

Intro to Statistical Learning Theory

Predictive Analysis

Introduction to Submodular Functions

Big Data: Tools and Techniques

Information Theory and Coding

Cloud Computing

Nonlinear Control Techniques

Distributed Systems

Bayesian Data Analysis

Graph Analytics for Big Data

Learning/Convex Optimization-II

Time Series Analysis

Optimization Methods in Machine

Data Mining

Sequence Models

Kernel Methods

For more information regarding BTech AI consider the link provided below:

https://www.careers360.com/courses/b-tech-in-artificial-intelligence

For the courses offered in the BTech Cyber Security course, consider the link provided below:

https://www.careers360.com/courses/btech-in-cyber-cecurity

I hope this helps. Wish you a great day!