B.Tech Artificial Intelligence Syllabus & Subjects 2025 covers a wide range of subjects including Applied Statistics, Machine Learning, Python, Neural Network, Object Detection, Reinforcement Learning, Natural Learning Processing, Deep Learning, Motion Analysis, and others. Apart from that, you can expect various elective subjects such as Robotics, Automata, Deep learning, Programming language [Python or C or other languages], and a few others. When pursuing the course program, you will get the chance to select the elective subjects on the basis of your interests. The syllabus of B.Tech Artificial Intelligence is designed in a way that it provides a comprehensive knowledge of Computer Science and Artificial Intelligence (AI). Continue reading and gain a deeper understanding.
B.Tech Artificial Intelligence Syllabus & Subjects 2025 is a 4 years course that teaches students the fundamentals of artificial intelligence (AI) and machine learning (ML). The B.Tech Artificial Intelligence Course covers topics such as computer programming, data structures, algorithms, probability, statistics, machine learning, deep learning, natural language processing, and computer vision. Students also learn how to apply AI and ML to solve real-world problems in a variety of industries, such as healthcare, finance, manufacturing, and transportation.
Here, we will discuss the B.Tech Artificial Intelligence Syllabus along with the semester-wise subjects.
Have a quick look at the main aspects of the B.Tech Artificial Intelligence Syllabus & Subjects 2025:
Aspect | Details |
---|---|
Course Name | B.Tech Artificial Intelligence |
Course Level | Undergraduate |
Course Duration | 4 years |
Eligibility | Must have scored at least 50% in class 12 with PCM |
Entrance Exams | JEE Main, JEE Advanced, AP EAMCET, TNEA Counselling, MHT CET, KCET, TS EAMCET, COMEDK UGET |
Top Colleges | Amrita Vishwa Vidhyapeetgham Coimbatore, IIT Hyderabad, Vellore Institute of Technology, Amity University Noida, and SRM University Kanchipuram |
Average Fees | INR 8,00,000 - INR 12,00,000 |
Job Profiles | Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Robotics Engineer |
Top Recruiters | Google, Deloitte, Accenture, Microsoft, Amazon, Adobe |
Average Salary | INR 7,00,000 per annum |
Also Read: Top B.Tech Artificial Intelligence (AI) and Machine Learning (ML) Colleges in India 2025
The course of B.Tech Artificial Intelligence covers a wide range of subjects/topics that include farm AI, Machine Learning, Language Processing, Pattern Recognition and more. Mentioned are the subjects that are included in the B.Tech Artificial Intelligence syllabus.
B.Tech Artificial Intelligence Syllabus & Subjects 2025 First Year
The first-year syllabus for B.Tech Artificial Intelligence is tabulated below:
B.Tech Artificial Intelligence Syllabus- Semester 1 | |
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Mathematics I | Big Data |
Physics | Open Source & Open Standards |
Physics Practical/Lab | Communication WKSP 1.1 |
Programming in C language | Practising WKSP 1.1 |
Practicing C Language Programming | Seminar |
B.Tech Artificial Intelligence Syllabus- Semester 2 | |
Mathematics II | Introduction to IT and Cloud Infrastructure Landscape |
Basics Electronic Engineering | Communication WKSP 1.2 |
Practicing Electronic Engineering | Practising WKSP 1.2 |
Data Structure with C language | Environmental Studies |
Practicing Data Structure | Appreciating Art Fundamentals |
Discrete Mathematical Structures |
B.Tech Artificial Intelligence Syllabus & Subjects 2025 Second Year
The second-year syllabus for B.Tech Artificial Intelligence is tabulated below:
B.Tech Artificial Intelligence Syllabus- Semester 3 | |
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Introduction to Applied Psychology | Functional Programming in Python |
Computer System Architecture | Introduction to the Internet of Things |
Design and Analysis of Algorithms | Communication WKSP 2.0 |
Design and Analysis of Algorithms Lab | Practicing Communication WKSP 2.0 |
Web Technologies | Securing Digital Assets |
Practicing Web Technologies | |
B.Tech Artificial Intelligence Syllabus- Semester 4 | |
Operating Systems | Current Topics regarding AI and ML |
Data Communication and Computer Networks | Database Management Systems & Data Modelling |
Practicing Data Communication and Computer Networks | Practising Database Management Systems & Data Modelling |
Introduction to Java and OOPS | Impact of Media on Society |
Practicing Introduction to Java and OOPS | Applied Statistical Analysis (for AI and ML) |
B.Tech Artificial Intelligence Syllabus & Subjects 2025 Third Year
The third-year syllabus for B.Tech Artificial Intelligence is tabulated below:
B.Tech Artificial Intelligence Syllabus- Semester 5 | |
---|---|
Formal Languages & Automata Theory | Current Topics regarding AI and ML |
Mobile Application Development | Software Engineering & Product Management |
Practising Mobile Application Development | Minor Subject: - 1. Aspects of Modern English Literature or Introduction to Linguistics |
Algorithms for Intelligent Systems | Minor Project 1 |
B.Tech Artificial Intelligence Syllabus- Semester 6 | |
Reasoning, Problem Solving and Robotics | Minor Subject 3 - Finance for Modern Professional |
Introduction to Machine Learning | Design Thinking |
Natural Language Processing | Communication WKSP 3.0 |
Minor Subject 2 – General Management | Minor Project 2 |
B.Tech Artificial Intelligence Syllabus & Subjects 2025 Fourth Year
The fourth-year syllabus for B.Tech Artificial Intelligence is tabulated below:
B.Tech Artificial Intelligence Syllabus- Semester 7 | |
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Program elective | Professional Ethics and Values |
Web Technologies | Internship |
Major Project 1 | Open Elective 1 |
Comprehensive Examination | CTS-5 Campus to Corporate |
Introduction to Deep Learning | |
B.Tech Artificial Intelligence Syllabus- Semester 8 | |
Major Subject 2 | Open Elective 2 |
Program Elective 1 | Universal Human Values & Ethics |
Program Elective 2 | Robotics and Intelligent Systems |
Also Read: Top B.Tech Artificial Intelligence Colleges in India 2025
The syllabus of B.Tech Artificial Intelligence includes core subjects that play an important role in building the base of the course. Core subjects help students to get basic knowledge and understanding the course. Below are some core subjects of B.Tech Artificial Intelligence.
Core Subjects | Details |
---|---|
Artificial Intelligence | Incorporates including deep learning, machine learning, and other related technologies. |
Neural Networks | Study of calculation models derived from the design and operation of the human brain. |
Pattern Recognition | Revolves around how machines classify and identify patterns in data. |
Algorithms | Includes organising, analysing, and implementing algorithms that are essential to AI. |
Machine Learning | Basic concepts of AI and ML, including creating, designing, and executing intelligent systems. |
Language processing | Includes topics such as language modelling, semantic analysis, parsing, and machine translation. |
During the program, students get the opportunity to choose electives based on their area of interest or their field of study, which allows students to get additional information that results in achieving deeper or more detailed knowledge about the subject they opted for. Below listed are some electives offered to students.
The B.Tech Artificial Intelligence course is divided into 8 semesters. The course of B.Tech Artificial Intelligence course focuses on software development, application demo testing, and business informatics. It is divided into eight semesters over four years. Students can choose electives according to their interests and preferences.
To get admission into the course of B.Tech Artificial Intelligence, students have to appear for the National, state, and college-level/University level entrance exams. The entrance exam helps in evaluating student’s knowledge about the course at the basic level. Below are some names of entrance exams conducted for Selecting students
As JEE Main is the most attempted BTech entrance exam in India, we have mentioned the JEE Main entrance exam syllabus for Chemistry, Physics, and Maths.
JEE Main: Chemistry Syllabus
Candidates can check the JEE Main Chemistry Syllabus from the table below.
Section A: Physical Chemistry | |
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Chemical Thermodynamics | Solutions |
Atomic Structure | Chemical Bonding and Molecular Structure |
Equilibrium | Redox Reactions and Electrochemistry |
Some Basic Concepts in Chemistry | States of Matte |
Chemical Kinetics | Surface Chemistry |
Section B: Inorganic Chemistry | |
Environmental Chemistry | Coordination Compounds |
Classification of Elements and Periodicity in Properties | General Principles and Processes of Isolation of Metals |
Hydrogen | Block Elements (Alkali and Alkaline Earth Metals) |
d-and-f Block Elements | P-Block Elements |
Section C: Organic Chemistry | |
Polymers | Biomolecules |
Hydrocarbons | Organic Compounds Containing Halogens |
Purification and Characterization of Organic Compounds | Some Basic Principles of Organic Chemistry |
Chemistry In Everyday Life | Principles Related to Practical Chemistry |
Organic Compounds Containing Oxygen | Organic Compounds Containing Nitrogen |
JEE Main: Physics Syllabus
Candidates can check the JEE Main Physics Syllabus from the table below.
Section A: Theory | |
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Properties of Solids and Liquids | Thermodynamics |
Laws of Motion | Work, Energy, and Power |
Physics and Measurement | Kinematics |
Magnetic Effects of Current and Magnetism | Electromagnetic Induction and Alternating Currents |
Rotational Motion | Gravitation |
Dual Nature of Matter and Radiation | Atoms and Nuclei |
Kinetic Theory of Gases | Oscillations and Waves |
Electromagnetic Waves | Optics |
Electrostatics | Current Electricity |
Electronic Devices | Communication Systems |
Section B: Practical | |
Experimental Skills | - |
JEE Main: Mathematics Syllabus
Candidates can check the JEE Main Maths Syllabus from the table below.
Sets, Relations, and Functions | Complex Numbers and Quadratic Equations |
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Integral Calculus | Differential Equations |
Mathematical Induction | Binomial Theorem and Its Simple Applications |
Matrices and Determinants | Permutations and Combinations |
Coordinate Geometry | Three Dimensional Geometry |
Sequences and Series | Limit Continuity, and Differentiability |
Vectorial Algebra | Statistics and Probability |
Trigonometry | Mathematical Reasoning |
While pursuing the course of B.Tech Artificial Intelligence students refer to books that help them guide and improve their knowledge and understanding of a particular topic or subject. Mentioned is the list of popular books recommended for students studying B.Tech Artificial Intelligence.
Books | Author |
---|---|
Artificial Intelligence: The Basics | Kevin Warwick |
Artificial Intelligence- A Modern Approach | Stuart Russell and Peter Norvig |
The Hundred Page Machine Learning Book | Andriy Burkov |
Machine Learning- The New AI | Ethem Alpaydin |
Yes, the course of B.Tech Artificial Intelligence is considered hard because as students when it comes to Artificial intelligence its not an easy subject, AI requires good knowledge of computer and programming language
The B.Tech Artificial Intelligence entrance examination includes national, state, and college/university-level examinations such as JEE Main, JEE Advanced etc.
The average placement package is around INR 4 LPA.
The average course fee of B.Tech Artificial Intelligence is around INR 1 - 1.5 LPA.
Amrita Vishwa Vidhyapeetgham Coimbatore, IIT Hyderabad, Vellore Institute of Technology, Amity University Noida, and SRM University Kanchipuram are some of the best colleges that offer courses of B.Tech Artificial Intelligence.