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.
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 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.
![Indira Gandhi Delhi Technical University For Women -[IGDTUW]](https://staticstage.collegedunia.com/public/college_data/images/appImage/1491645668cvr.png?tr=h-100,w-200,c-force)
![Vellore Institute of Technology - [VIT University]](https://staticstage.collegedunia.com/public/college_data/images/appImage/1614064870cover.jpg?tr=h-100,w-200,c-force)
![Birla Institute of Technology - [BIT Mesra]](https://staticstage.collegedunia.com/public/college_data/images/appImage/17148266581507625417cachajdk1.jpeg?tr=h-100,w-200,c-force)
![National Institute of Technology - [NIT]](https://staticstage.collegedunia.com/public/college_data/images/appImage/25540_NITKURUKSHETRA_APP.jpg?tr=h-100,w-200,c-force)
![Sardar Patel Institute of Technology - [SPIT]](https://staticstage.collegedunia.com/public/college_data/images/appImage/14948_SPIT_APP.jpg?tr=h-100,w-200,c-force)
![SRM Institute of Science and Technology - [SRMIST]](https://staticstage.collegedunia.com/public/college_data/images/appImage/25896_SRM_APP.jpg?tr=h-100,w-200,c-force)
![Guru Gobind Singh Indraprastha University - [GGSIPU]](https://staticstage.collegedunia.com/public/college_data/images/appImage/25450_1.jpg?tr=h-100,w-200,c-force)