BTech CSE Artificial Intelligence Syllabus 2026 – Semester-wise Subjects & Curriculum

Introduction

The B.Tech CSE (Artificial Intelligence) curriculum is structured to provide a solid foundation in computer science, programming, and mathematics, along with advanced knowledge of artificial intelligence, machine learning, and data-driven technologies. The curriculum integrates theory, laboratory work, projects, and internships to prepare students for modern AI-based industries and research roles.

Table of Contents

• First Year B.Tech CSE (AI) Syllabus
• Second Year B.Tech CSE (AI) Syllabus
• Third Year B.Tech CSE (AI) Syllabus
• Fourth Year B.Tech CSE (AI) Syllabus
• Practical Training & Project Work
• Electives and Skill-Based Subjects
• Skills Gained Through the Syllabus
• Overview Summary Table
• FAQs
• Conclusion

First Year B.Tech CSE (Artificial Intelligence) Syllabus

The first year focuses on engineering and programming fundamentals.

Core subjects include:

• Engineering Mathematics
• Engineering Physics
• Engineering Chemistry
• Programming in C / Python
• Basic Electrical Engineering and Electronics Engineering
• Engineering Drawing
• Communication Skills

This year develops logical reasoning and coding skills.

Second Year B.Tech CSE (Artificial Intelligence) Syllabus

The second year strengthens core computer science concepts.

Major subjects include:

• Data Structures and Algorithms
• Java / Python Object-Oriented Programming
• Discrete Mathematics
• Computer Organization and Architecture
• Operating Systems
• Database Management Systems (DBMS)

These subjects form the foundation of AI systems.

Third Year B.Tech CSE (Artificial Intelligence) Syllabus

The third year introduces core artificial intelligence and data-oriented subjects.

Important subjects include:

• Machine Learning
• Probability and Statistics
• Data Science
• Algorithm Analysis and Design
• Computer Networks
• Web Technologies

At this stage, students begin working with AI models and real-world datasets.

Fourth Year B.Tech CSE (Artificial Intelligence) Syllabus

The final year focuses on specialization, industry exposure, and projects.

Advanced subjects include:

• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Big Data Analytics
• Intelligent Systems and Robotics
• Cloud Computing for AI
• Ethics of Artificial Intelligence

Major projects and internships are undertaken during this year.

Practical Training & Project Work

The syllabus places strong emphasis on practical learning.

It includes:

• Programming and AI laboratories
• Implementation of machine learning models
• Mini projects and final-year major projects
• Innovation challenges and hackathons
• Internships / industrial training (in many colleges)

Practical exposure significantly improves employability.

Electives and Skill-Based Subjects

Elective subjects vary depending on the university and industry trends.

Popular electives include:

• Internet of Things (IoT)
• Blockchain Technology
• Cyber Security
• Reinforcement Learning
• Advanced Data Analytics

Electives allow students to specialize further in their areas of interest.

Skills Gained Through the Syllabus

Through the B.Tech CSE (AI) syllabus, students develop the following skills:

• Software development and programming skills
• AI model development and machine learning techniques
• Critical thinking and data analysis
• Logical reasoning and algorithmic thinking
• Research and innovation capabilities

These skills are highly valued across technology-driven industries.

Overview Summary Table

FAQs

Conclusion

The B.Tech CSE (Artificial Intelligence) curriculum is industry-oriented and skill-focused. It equips students with the essential skills required for careers in AI engineering, data science, research, and innovation by combining core computer science concepts with advanced AI technologies. It is an excellent choice for students aspiring to build careers in modern technological fields.