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

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Sounak Banerjee

Associate Content Manager

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.

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.

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:

  1. Case Studies
  2. Experiments
  3. Real-time Projects
  4. Internships
  5. 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. 

Ask your question

Answered Questions

RK

Rohan Khare

27 Feb 23

I know I might sound blunt, but you cannot get into NIT Trichy CSE unless you belong to a reserved category. The expected opening and closing rank for the B.Tech CSE course at NIT Trichy for the academic session 2022 was around 400 to 5300. This year there might be only a slight difference. However, your rank of 10000 has no chance considering the cutoff.

Don’t get discouraged as here is the bright side. You might not get into NIT Trichy CSE but you surely might get into NIT Jalandhar, NIT Hamirpur which are quite good institutes if not as good as Trichy. In fact, NIT Jalandhar was ranked among the top 5 NITs in NIRF rankings (placement-wise).

You can't get NIT Trichy's CSE, but don't worry you can still get CSE at NIT Jalandhar, NIT Hamirpur, etc. Believe me, they are also good institutions. Talking about NITJ it was ranked among top 5 NITs in NIRF rankings placement-wise.

Another option is to apply at your home state institute. For instance, if you are from Delhi, go for DTU or NSIT. While the choice of Institute does matter, the majority depends on your own persistence.

...Show More

AJ

Ayush Jain

23 Feb 22

Yes, it is worth joining SRM University for a B.Tech in Computer Science. 

CSE Curriculum: The course curriculum followed for CSE covers all fundamental concepts like Data Structure, microprocessors, algorithms, computer organization, etc. The elective subjects are upgraded based on current industry trends. 

Teaching: They follow a decent teaching methodology. You will get help from the professor regarding any doubts. 

Exchange Program: SRM has tie-ups with universities worldwide for student exchange programs.  If you meet the requirements you can spend a semester at some of the best universities in world such as Carnegie Mellon, SUNY Buffalo, UC Berkeley, and many others. 

Placements: During the 2021 placement drive the packages offered were as follows.

SRM University CSE average package INR 7.5 LPA
SRM University CSE highest package  INR 29.5 LPA
Top recruiters  TCS, MU Sigma, Wipro, Accenture
Placement rate  100%

You will find a genuine review of SRM in the video below

Considering the academics and placement opportunities, the B.Tech CSE program at SRM University is definitely worth pursuing. 

...Show More

TG

Tridha Gupta

28 Feb 22

If you are interested in programming and coding, then you can buy a windows laptop with decent specifications. It doesn’t have to be high-end. You can make it dual boot to get Linux as well. For development, Linux is widely used and compilers are available too. Some software work well in windows and Linux will be great for development.

...Show More

MR

Maulik Raichura

27 Feb 23

Comparing IIIT Hyderabad and BITS Pilani cannot be done in terms of with as both are reputed institutes. However, they can be compared on the basis of individual parameters.

For instance 

  • Campus: BITS
  • Placements: IIIT Hyderabad 
  • Coding: IIIT Hyderabad

Now it’s up to you to decide which factor will affect you the most. In my opinion choosing IIIT Hyderabad over BITS Pilani is a no-brainer as IIIT Delhi is the best when it comes to CSE. Its curriculum is designed exceptionally well. Apart from this, it fairs well in terms of modern technology, infrastructure, faculties, placements, and greater opportunities for higher studies and research. The only institutes that give IIIT Hyderabad an edge are IIT Bombay and IISc Bangalore. You are bound to gain a lot of fun experience and knowledge at IIIT Hyderabad and won’t regret joining it ever.

However, this definitely does not mean BITS Pilani is not any good. It’s just that the outcomes offered by both institutes are different. If you want to go for MBA or Government Services in the future, BITS Pilani is a good choice as it offers a wider range of opportunities in contrast to CSE at IIIT Hyderabad which is suitable only if you want to stay in this field till the end.

...Show More

SU

Suraj Upadhay

22 Mar 22

CSE from VIT Vellore is the better option. In fact, after IIITs and BITS, it is considered best for the CS domain. The video below will give you an honest review of VIT Vellore

If you have a good command over Data Structure, Algorithm Design, and a bit of competitive coding, you can easily bag lucrative salary packages from reputed companies like Cisco, Microsoft, Goldman Sachs, etc. According to the placement highlights of recent years, VIT Vellore CSE average CTC stays around INR 7 LPA.

...Show More

TS

Tanvi Sinha

23 Mar 22

IIIT Delhi CSE is a better option compared to DTU Mechanical. It is a great option for pursuing a CSE degree. The institute has a great faculty pool. It also offers good placement opportunities. According to the 2021 placement highlights, IIIT Delhi CSE average package is INR 16.81 LPA. IIIT Delhi also has an active research culture. 

DTU offers a better brand value, campus life, but as a branch, CSE is better than Mechanical. 

...Show More

PK

Priyansh Kumar

16 Mar 23

If you have a choice between IIIT Vadodara and any other well-established NIT or IIIT for a Btech in CSE/IT, you should go for the latter as IIIT Vadodara lacks proper infrastructure and resources. However, studying B.tech in CSE at IIIT Vadodara is a rigorous course that offers different course content from other colleges, making students good engineers. The professors put in equal amounts of hard work to deliver their content in a professional manner, and there are ample resources available online for students. 

IIIT Vadodara is a good option as it provides exposure to both theory and industrial practice, and the institute has improved immensely. The placements are also getting better, with tech giants recognizing IIIT Vadodara and aiding in projects through developer student clubs and Mozilla student club

...Show More

NK

Nimrit Kapoor

16 Mar 23

When it comes to MAIT, it may not have the same coding environment as other colleges like MSIT or BVP. However, it is important to note that things are changing at MAIT, and there are opportunities for students to participate in coding competitions, Hackathons, Competitive Programming, Open Source, and more. 

  • The availability of professors with research backgrounds is limited, and more could be done to expand opportunities for serious project work.
  • The course curriculum at MAIT and IPU is outdated and may include subjects that are not directly relevant to CSE students.
  • Placements at MAIT are strong, with companies like Amazon, Microsoft, Infosys, TCS, Wipro, and Accenture visiting the campus.
  • More than 80% of students get placed, with some students receiving offers as high as 42 LPA from Microsoft.
  • It's important to note that many placements listed by others also include off-campus opportunities obtained through individual skills and efforts.
  • CS and IT students shouldn't have to worry about the crowd, especially if in the first shift, as the current boys-to-girl ratio in IT are approximately 2:1.

You will get an overview of the college from the video below

...Show More

AB

Amulya Bhalla

16 Mar 23

Media reports indicate that the placements for Panjab University UIET (BTech and MTech) Chandigarh in 2023 saw the highest and average package offered at INR 45 LPA and INR 8.89 LPA, respectively. It is worth noting that a total of 383 offers were made during the PU UIET placements 2023, and the top recruiters were renowned companies like Amazon, Dabur, and American Express.

It's noteworthy that there was a notable rise of over 9% in the average package offered during PU UIET placements 2022 in comparison to 2021. Furthermore, the number of offers made in 2022 increased by over 43% as compared to the previous year, which is certainly impressive.

...Show More

SD

Shruti Dasgupta

09 Aug 22

For CSE, SRM is the better option. The academics, campus life, and facilities offered are good. Major recruiting companies such as Amazon, Honda, Cognizant, etc. recruit through the campus drive. SRM placements in 2022 witnessed the highest CTC of INR 1 CPA. The institute offers decent exposure. The networking opportunities are ample. Here is an honest review of the SRM University

...Show More

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