BTech AI and ML Syllabus, Subjects, Top Colleges, Yearly, Semester, Books, Projects

Q: What are the subjects in CSE in the first years?

The subjects in CSE in first years are:Engineering PhysicsEngineering ChemistryEngineering Mathematics-1Engineering Mathematics-2Engineering DrawingWorkshop PracticeSoft SkillsProgramming in CProgramming in C++ ( or C language will be continued depending on your college.)Basics of Electrical EngineeringBasics of Electronics EngineeringBasics of Mechanical EngineeringProfessional Communication

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

BTech Course Details	BTech Admission Process

In order to communicate with the machines, the students are required to know the specific language understood by the machine, thus in the program students are taught the languages which can be input into the machine. Computer languages like Lisp, JAVA and Python are some languages that are taught in this course.

Table of Contents

BTech AI and ML Course Details
BTech AI and ML Syllabus
BTech AI and ML Subjects
BTech AI and ML Syllabus in Bikaner University
BTech AI and ML Syllabus in JNTU
BTech AI and ML Syllabus in Manipal
BTech AI and ML Course Structure

7.1 Teaching Method

7.2 Experiments

BTech and ML Books
BTech AI and ML Syllabus: FAQs

BTech Artificial Intelligence and Machine Learning Course Details

Level of Program	Undergraduate
Program Duration	4 Years
Eligibility Criteria	Applicants qualifying their 10+2 exam from a recognised Board and Science stream (Physics and Mathematics compulsory subjects) are eligible
Admission Process	Both Entrance Test based and Merit-based admission process
Average Course Fee	INR 1,00,000/- to INR 1,50,000/- per annum
Average Starting Salary	Between 10 LPA and 15 LPA
Job Profiles	Data Analyst, Data Scientist, Data Engineer, Principle Data Scientist, Computer Vision Engineer, etc

B.Tech in Artificial Intelligence and Machine Learning Syllabus

Semester 1	Semester 2
Physics	Basic Electronics Engineering
Physics Lab	Basic Electronics Engineering Lab
Mathematics I	Mathematics II
Playing with Big Data	Data Structures with C
Programing in C Language	Data Structures-Lab
Programing in C Language Lab	Discrete Mathematical Structures
Open Source and Open Standards	Introduction to IT and Cloud Infrastructure Landscape
Communication WKSP 1.1	Communication WKSP 1.2
Communication WKSP 1.1 Lab	Communication WKSP 1.2 Lab
Seminal Events in Global History	Environmental Studies
-	Appreciating Art Fundamentals
Semester 3	Semester 4
Computer System Architecture	Introduction to Java and OOPS
Design and Analysis of Algorithms	Operating Systems
Design and Analysis of Algorithms Lab	Data Communication and Computer Networks
Web Technologies	Data Communication and Computer Networks Lab
Web Technologies Lab	Introduction to Java and OOPS
Functional Programming in Python	Applied Statistical Analysis (for AI and ML)
Introduction to Internet of Things	Current Topics in AI and ML
Communication WKSP 2.0	Database Management Systems & Data Modelling
Communication WKSP 2.0 Lab	Database Management Systems & Data Modelling Lab
Securing Digital Assets	Impact of Media on Society
Introduction to Applied Psychology	-
Semester 5	Semester 6
Formal Languages & Automata Theory	Reasoning, Problem Solving and Robotics
Mobile Application Development	Introduction to Machine Learning
Mobile Application Development Lab	Natural Language Processing
Algorithms for Intelligent Systems	Minor Subject 2 – General Management
Current Topics in AI and ML	Minor Subject 3 - Finance for Modern Professiona
Software Engineering & Product Management	Design Thinking
Minor Subject: - 1. Aspects of Modern English Literature or Introduction to Linguistics	Communication WKSP 3.0
Minor Project I	Minor Project II
Semester 7	Semester 8
Program elective	Robotics and Intelligent Systems
Web Technologies	Major Projects 2
Major Project- 1	Program Elective-5
Comprehensive Examination	Program Elective-6
Professional Ethics and Values	Open Elective - 4
Industrial Internship	Universal Human Value & Ethics
Open Elective - 3	-
CTS-5 Campus to corporate	-
Introduction to Deep Learning	-

BTech AI and ML Subjects

Programming Using C - This will help students to learn C Programs using basic programming constructs and to perform input/output and file handling in C. This includes topics such as General problem-solving concepts, Pointers, Array and structures, C language - types of operators and expressions.
Data Structures - This includes the concepts of List ADT in the applications of various linear and nonlinear data structures. This will teach students about searching, sorting and hashing techniques.
Functional Programming in Python - After learning this students will be able to Implement Python programs with conditionals and loops, Read and write data from/to files in Python and Run Python Programs at interactive and script modes.
Advanced Engineering Mathematics - This includes Linear Programming,Classical Optimization using Differential Calculus,RandomVariables,Formulation of Design Problems as a Mathematical Programming Problems, etc
Technical Communication - Students will learn about introduction about technical communication, Technical Writing, Grammar and Editing, Comprehension of Technical Materials/Texts and Information Design & development, Advanced Technical Writing, etc
Managerial Economics and Financial Accounting - Topics like Basic economic concepts, Production and Cost analysis, Market structure and pricing theory, Financial statement analysis, etc
Concepts in Artificial Intelligence - Students will get in-depth knowledge about Meaning and definition of artificial intelligence, Introduction to Genetic Algorithms.,Game playing techniques,Semantic networks etc

BTech AI and ML Syllabus in Bikaner Technical University

Year 1 Subjects	Year 2 Subjects
Linear Algebra and Differential Calculus	Digital Logic Design
Applied Physics	Object Oriented Programming in C++
English	Probability and Statistics
Programming for Problem Solving	Discrete Mathematics
Engineering Graphics	Database Management Systems
Differential Equations and Vector Calculus	Computer Organization
Engineering Chemistry	Operating Systems
Data Structures	Economics and Accounting for Engineers
-	Java Programming
-	Design and Analysis of Algorithms
-	Lab Work
Year 3 subjects	Year 4 Subjects
Computer Networks	Cryptography and Network Security
Data Warehousing and Data Mining	Neural Networks and Deep Learning
Artificial Intelligence	Fundamentals of Management and Entrepreneurship
Machine Learning	Lab Work
Big Data Analytics	-
Software Engineering	-

BTech AI and ML Syllabus in JNTU

Semester 1	Semester 2
Mathematics - I	Mathematics - II
Chemistry	Applied Physics
Basic Electrical Engineering	Programming for Problem Solving
Engineering Workshop	Engineering Graphics
English	Applied Physics Lab
Engineering Chemistry Lab	Programming for Problem Solving Lab
English Language and Communication Skills Lab	Environmental Science
Basic Electrical Engineering Lab	-
Semester 3	Semester 4
Discrete Mathematics	Formal Language and Automata Theory
Data Structures	Software Engineering
Mathematical and Statistical Foundations	Operating Systems
Computer Organization and Architecture	Database Management Systems
Python Programming	Object Oriented Programming using Java
Business Economics & Financial Analysis	Operating Systems Lab
Data Structures Lab	Database Management Systems Lab
Python Programming Lab	Java Programming Lab
Gender Sensitization Lab	Constitution of India
Semester 5	Semester 6
Design and Analysis of Algorithms	Artificial Intelligence
Machine Learning	DevOps
Computer Networks	Natural Language Processing
Compiler Design	Professional Elective – III
Professional Elective - I	Artificial Intelligence and Natural Language Processing Lab
Professional Elective - II	DevOps Lab
Machine Learning Lab	Professional Elective - III Lab
Computer Networks Lab	Environmental Science
Advanced Communication Skills Lab	-
Intellectual Property Rights	-
Semester 7	Semester 8
Neural Networks & Deep Learning	Organizational Behaviour
Reinforcement Learning	Professional Elective - VI
Professional Elective - IV	Open Elective - III
Professional Elective - V	Project Stage - II
Open Elective - II	-
Deep Learning Lab	-
Industrial Oriented Mini Project/ Summer Internship	-
Seminar	-
Project Stage	-

Manipal Institute of Technology BTech AI and ML Syllabus

Syllabus for Manipal Institute of technology Btech AI and ML :

Semester 1	Semester 2
Engineering Mathematics-I	Engineering Mathematics-II
Engineering Physics	Engineering Chemistry
Basic Civil Engineering	Basic Electrical Technology
Environmental Studies	Problem Solving Using Computers
Basic Electronics	Basic Mechanical Engineering
Engineering Graphics	Communication Skills in English
Engineering Physics Lab	Problem Solving Using Computers Lab
Workshop Practice	Engineering Chemistry Lab
Third Semester	4th Semester
Linear Algebra and Logic	Probability and Optimization
Digital Systems and Computer Organization	Database Systems
Data Structures	Design and Analysis of Algorithms
Introduction to Data Analytics using Python	Artificial Intelligence
Object Oriented Programming	Operating Systems
Formal Languages and Automata Theory	Open Elective – I
Data Structures Lab	Algorithms Lab
Digital Systems Design Lab	Database Systems Lab
Object Oriented Programming Lab	Artificial Intelligence Lab
Fifth Semester	Sixth Semester
Essentials of Management	Engineering Economics and Financial Management
Machine Learning	Deep Learning
Foundation of Computer Vision	Big Data Analytics
Parallel Computer Architecture and Programming	Program Elective – I
Artificial Neural Network	Program Elective – II
Open Elective – II	Open Elective – III
Computer Vision Lab	Deep Learning Lab
Parallel Programming Lab	Internet Technologies Lab
Machine Learning Lab	Big Data Analytics Lab
Seventh Semester	Eighth Semester
Program Elective – III	Industrial Training
Program Elective – IV	Project Work/Practice School
Program Elective – V	-
Program Elective – VI	-
Program Elective – VII	-
Open Elective – IV	-

BTech AI and ML Course Structure

The Ph.D. BTech AI and ML courses prepare students with fundamental knowledge of the Foundations of Computational Mathematics, core areas of Computer Science, along with the latest advancements in Artificial Intelligence and Machine Learning. This will help students to create applications and solutions for the world that we live in. The course structure of Btech in AI and ML is as follows:

8 semesters
Project work
Internship
Experiments
Core Subjects
Elective Subjects

BTech AI and ML Syllabus Teaching Methodology and Techniques

Students pursuing BTech Artificial Intelligence and Machine Learning are taught Mathematics and Physics in modular forms during their first few semesters and then the program will focus on subjects that are at the core of AI. This will help to develop research abilities and innovative project development in the field of AI, ML, DL, networking, security, web development, Data Science and also emerging technologies for the benefit of society. The overall teaching structure of the course includes:

Case Studies
Experiments
Real-time Projects
Internships
Practical Sessions

BTech AI and ML Syllabus Experiments

These Experiments will help students to write programs for solving real-world problems using OOP techniques, java collection framework. This will improve the ability to create practical and contemporary applications such as TCP/IP network programming, Web applications, discrete event simulations

Write a program for the tree traversal methods
Write a Java program that implements a Quick sort algorithm for sorting a list of names in ascending order
Write a program the graph traversal methods
Write a Java program for the following: Create a doubly linked list of elements. Delete a given element from the above list.
Write a program to demonstrate working with dictionaries in python.
Write C programs to illustrate the following IPC mechanisms a) Pipes b) FIFOs c) Message Queues d) Shared Memory
Write a program to demonstrate working with dictionaries in python
Write a Java program for the following: Create a doubly linked list of elements. Delete a given element from the above list.

BTech AI and ML Books

Books	Author
Discrete Mathematics and its Applications with Combinatorics and Graph Theory	Kenneth H Rosen, 7th Edition, TMH.
Discrete Mathematics	Richard Johnsonbaugh, 7ThEdn., Pearson Education.
Fundamentals of Data Structures in C	E. Horowitz, S. Sahni and Susan Anderson Freed, Universities Press
Computer System Architecture	M. Moris Mano, Third Edition, Pearson/PHI.
Core Python Programming	Wesley J. Chun, Second Edition, Pearson.
Software Engineering, A practitioner’s Approach	Roger S. Pressman, 6th edition, Mc Graw Hill International Edition
Advanced programming in the UNIX environment,	W.R. Stevens, Pearson education.
Database System Concepts	Silberschatz, Korth, Mc Graw hill, V edition.
Advanced programming in the Unix environment,	W. R. Stevens, Pearson education.

BTech AI and ML Syllabus: FAQS

Ques. Who are the top recruiters for Artificial Intelligence professionals?

Ans. The topmost recruiting companies for Artificial Intelligence course professionals are, namely, Google, TCS, Capgemini, Samsung, Amazon, etc.

Ques.Is it good to study BTech cse specialization in AI and ML?

Ans. With the advancement of technology and innovation artificial intelligence and machine learning is booming industry. The opportunities for jobs will be increasing in the upcoming future.It is the need of the hour.

Ques. What is the 1st year syllabus of BTech artificial intelligence?

Ans. The first-year syllabus of BTech artificial intelligence is:

Mathematics for Intelligent System – I
Computational Engineering Mechanics- I
Object Oriented programming
Elements of Computing System-I
Introduction to Electrical Engineering
Introduction to Digital manufacturing
Introduction to Drones

Ques.What are the subjects in CSE in the first years?

Ans. The subjects in CSE in first years are:

Engineering Physics
Engineering Chemistry
Engineering Mathematics-1
Engineering Mathematics-2
Engineering Drawing
Workshop Practice
Soft Skills
Programming in C
Programming in C++ ( or C language will be continued depending on your college.)
Basics of Electrical Engineering
Basics of Electronics Engineering
Basics of Mechanical Engineering
Professional Communication

Ques. Is AI a field worth doing BTech in?

Ans. Artificial Intelligence is science and methodologies to help computer and computer-enabled machines to mimic humans to solve complex real-world problems. The benefits of AI are Automation, Employment scope and speed.

Ques. For basics, what is the maths syllabus for getting into machine learning and AI?

Ans. Students will learn calculus and linear algebra,staistics, and probability theory. Other helpful undergraduate courses include optimization theory, numerical analysis, real analysis, and an introduction to topology.

Ques. Which colleges offer a Btech course?

Ans. The name of colleges that offer a Btech course in India are :

International Institute of Information Technology (IIIT), Pune
BITS Pilani/Mesra
SRM Institute of Science and Technology
Karunya Institute of Science & Technology
Vel Tech University
Vellore Institute of Technology
ICFAI Foundation For Higher Education
Banasthali Vidyapith

Ques. Is there a growing career in Artificial Intelligence Courses?

Ans. Yes, Artificial Intelligence has seen a huge growth in the field in the past few decades. Candidates can definitely get a promising career in Artificial Intelligence by getting employed in the job positions like Artificial Intelligence Researcher, Computer Scientist, Data Scientist, AI Gadgets Developer, etc.

Ques. Which is better, BTech Artificial Intelligence or MTech Artificial Intelligence?

Ans. MTech Artificial Intelligence is considered a better course than BTech Artificial Intelligence as the MTech course offers a better salary and more industrial exposure.