AI & Machine Learning

2022 Scheme

Curriculum for the B.E. in AI & Machine Learning.

5th Semester Courses

Select a course to view notes, questions, and lab manuals

10 Courses
Sem 5
BCS502

Computer Networks

4 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 5
BAI515A

Computer Vision

3 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 5
BAI515B

Informational Retrieval

3 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 5
BAI515E

Exploratory Data Analysis

3 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 5
BCS501

Software Engineering & Project Management

3 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 5
BCS503

Theory of Computation

3 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 5
BRMK557

Research Methodology and IPR

2 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 5
BAIL504

Data Visualization Lab

1 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 5
BCS508

Environmental Studies and E-waste Management

1 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 5
BYOK559

NSS / Physical Education / Yoga

1 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Curriculum Overview

Studying AI & Machine Learning at VTU

The AI & Machine Learning curriculum at VTU integrates theoretical engineering fundamentals with practical lab experimentation and project-based coursework. Each semester features core subjects, integrated labs, and emerging technology electives.

VTUadda provides peer-verified study materials for every course in this department. Review module lecture notes alongside past 5-year VTU semester question papers to achieve a competitive Cumulative Grade Point Average (CGPA).