B.Tech Artificial Intelligence and Machine Learning Syllabus PDF

B.Tech AI and Machine Learning Notes PDF


B.Tech AI and Machine Learning Notes







646 KB

File Size


Total Pages


Last Updated

Share This:

B.Tech Artificial Intelligence and Machine Learning Syllabus PDF

If you are looking for B.Tech Artificial Intelligence and Machine Learning Syllabus, you are in the right place. At the end of this post, we have added a button to directly download the PDF of the B.Tech Syllabus for AI and Machine Learning for free.

B.Tech AI and Machine Learning Syllabus

B.Tech is a 4 years undergraduate degree program in Artificial Intelligence and Machine Learning Engineering stream. In this course, students are taught to write the code of the said machine. This code acts as a guiding instruction for the machines so that the machines can perform tasks with less human interaction.

Here we have shared the complete 4-year syllabus of the B.Tech AI and Machine Learning Course.

Semester 1Semester 2
PhysicsBasic Electronics Engineering
Physics LabBasic Electronics Engineering Lab
Open Source and Open StandardsIntroduction to IT and Cloud Infrastructure Landscape
Playing with Big DataData Structures with C
Programming in C Language LabData Structures-Lab
Programing in C Language LabDiscrete Mathematical Structures
Communication WKSP 1.1 LabProgramming in C Language Lab
Communication WKSP 1.1Communication WKSP 1.2
Mathematics IMathematics II
Seminal Events in Global HistoryEnvironmental Studies
Appreciating Art Fundamentals
Semester 3Semester 4
Computer System ArchitectureIntroduction to Java and OOPS
Securing Digital AssetsImpact of Media on Society
Design and Analysis of Algorithms LabData Communication and Computer Networks
Web TechnologiesData Communication and Computer Networks Lab
Introduction to Internet of ThingsCurrent Topics in AI and ML
Web Technologies LabIntroduction to Java and OOPS
Functional Programming in PythonApplied Statistical Analysis (for AI and ML)
Design and Analysis of AlgorithmsOperating Systems
Communication WKSP 2.0Database Management Systems & Data Modelling
Communication WKSP 2.0 LabDatabase Management Systems & Data Modelling Lab
Minor Subject 3 – Finance for Modern Professional
Semester 5Semester 6
Formal Languages & Automata TheoryReasoning, Problem-Solving and Robotics
Mobile Application DevelopmentIntroduction to Machine Learning
Algorithms for Intelligent SystemsMinor Subject 2 – General Management
Mobile Application Development LabNatural Language Processing
Minor Subject: – 1. Aspects of Modern English Literature or Introduction to LinguisticsCommunication WKSP 3.0
Current Topics in AI and MLReasoning, Problem-Solving, and Robotics
Software Engineering & Product ManagementDesign Thinking
Minor Project IMinor Project II
Semester 7Semester 8
Program electiveRobotics and Intelligent Systems
Web TechnologiesMajor Projects 2
Major Project- 1Program Elective-5
Industrial InternshipProgram Elective-6
Comprehensive ExaminationUniversal Human Values & Ethics
Professional Ethics and ValuesOpen Elective – 4
Open Elective – 3
CTS-5 Campus to corporate
Introduction to Deep Learning

If you want to download the B.Tech AI and Machine Learning Syllabus PDF, then click on the download button provided at the end of this post.


Download B.Tech Artificial Intelligence and Machine Learning Syllabus PDF

To download the B.Tech AI and Machine Learning Syllabus for all semesters PDF, then just click on the below download button. Within a few secondsthe B.Tech Engineering (Artificial Intelligence) Syllabus PDF will be on your device.

Share This:

Leave a Comment