B.Tech Artificial Intelligence Syllabus & Subjects

B.Tech Artificial Intelligence 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.
 

Artificial intelligence is the branch of B.Tech and has emerged as a driving force behind innovation, automation, and problem-solving across various industries. A Bachelor of Technology (B.Tech) program in Artificial Intelligence equips students with the knowledge and skills to excel in this dynamic field. Mentioned below are some highlights of B.Tech Artificial Intelligence -

•  The curriculum of a B.Tech AI course typically covers a wide range of topics, including machine learning, natural language processing, computer vision, and robotics. Students also learn about the ethical and societal implications of AI.
•  B.Tech AI graduates are equipped with the skills they need to succeed in the AI industry. These skills include programming, data analysis, and problem-solving.
•  B.Tech AI courses often emphasize collaborative learning. This allows students to learn from each other and develop teamwork skills.
• B.Tech AI students have the opportunity to participate in research projects. This gives them hands-on experience with AI and allows them to contribute to the field.

All the subjects offered in the course of B.Tech Artificial Intelligence are based on a theoretical, practical approach that helps in providing students to design, and develop artificial intelligence (AI) models or software over a 4-year of time. Below listed are some common subjects.

The program of B.Tech Artificial Intelligence consists of many subjects which help students to get a better understanding and knowledge. Below is the Yearly Syllabus of B.Tech Artificial Intelligence consisting of main subjects.

B.Tech Artificial Intelligence 1st Year Syllabus

Candidates can check the B.Tech Artificial Intelligence 1st Year Subjects from the following - 

• Mathematics
• Physics
• Programming C language
• Commnuimcation WKSP 1.1
• Basics Electronic Engineering 
• Data Structure with C language
• Communication WKSP 1.2

B.Tech Artificial Intelligence 2nd Year Syllabus

The B.Tech Artificial Intelligence 2nd Year Subjects can be checked from the following - 

• Computer System Architecture 
• Design and Analysis of Algorithms 
• Web Technologies
• Programming in Python
• Communication WKSP 2.0
• Securing Digital Assets
• Operating Systems 
• Data Management Systems 
• Introduction to Java

B.Tech Artificial Intelligence 3rd Year Syllabus

We have discussed the B.Tech Artificial Intelligence 3rd Year Subjects from the following pointers - 

• Mobile Application Development
• Software Engineering
• Machine Learning
• Communication WKSP 3.0

B.Tech Artificial Intelligence 4th Year Syllabus

Candidates can check the B.Tech Artificial Intelligence 4th Year Subjects from the following - 

• Web Technologies
• Universal Human Values and Ethics 
• Robotics and Intelligent Systems

The course of B.Tech Artificial Intelligence covers a wide of subjects/topics that include farm AI, Machine Learning, Language Processing, Pattern Recognition and more. Mentioned are the subjects which are included in the B.Tech Artificial Intelligence syllabus

B. Tech Artificial Intelligence Semester 1 Syllabus 

Candidates can find the B. Tech Artificial Intelligence Semester 1 subjects from the following table.

B. Tech Artificial Intelligence Semester 2 Syllabus

The table below highlights the B. Tech Artificial Intelligence Semester 2 Subjects - 

B. Tech Artificial Intelligence Semester 3 Syllabus

Candidates can check the  B. Tech Artificial Intelligence Semester 3 subjects from the table below.

B. Tech Artificial Intelligence Semester 4 Syllabus

The Semester 4 B. Tech Artificial Intelligence Subject list have been presented below.

B. Tech Artificial Intelligence Semester 5 Syllabus

The Semester 5 B. Tech Artificial Intelligence Subject list have been mentioned here. 

B. Tech Artificial Intelligence Semester 6 Syllabus

The Semester 6 B. Tech Artificial Intelligence Syllabus have been listed in the table below.

B. Tech Artificial Intelligence Semester 7 Syllabus

All the B. Tech Artificial Intelligence Semester 7 Subjects have been mentioned here.

B. Tech Artificial Intelligence Semester 8 Syllabus

Candidates can find the Semester 8 B. Tech Artificial Intelligence subjects from the following table.

B.Tech Artificial Intelligence course aims to train aspirants with technical knowledge for the growing technology sector, especially in the field of artificial intelligence. The entire program is built primarily on the principles of computer science, mathematics, and machine learning. The program is further divided into core subjects and elective subjects that help the students to get detailed knowledge and understanding of the subject and the topic.

B.Tech Artificial Intelligence Core Subjects

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 about the course. Below are some core subjects of B.Tech Artificial Intelligence. 

• Artificial Intelligence
• Neural Networks
• Pattern Recognition
• Algorithms
• Machine Learning
• Language processing

B.Tech Artificial Intelligence Elective Subjects 

During the program, students get the opportunity to choose electives based on their area of ??interest or their field of career which allows students to get additional information that results in achieving deeper or more detailed knowledge about the subject they opted. Below listed are some electives offered to students.

• Robotics
• Automata
• Deep learning
• Sensors
• Programming language [Python or C or other languages]
• Database management and Big data

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.

• Four Years
• 8 Semesters 
• Core And Elective Courses
• Capstone Projects And Real-Time Projects
• Internships And Workshops/Seminars 

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

• Joint Entrance Examination Main (JEE Main)
• Joint Entrance Examination Advanced (JEE Advanced)
• Common University Entrance Test (CUET)

B.Tech Artificial Intelligence Entrance Exam Syllabus

As JEE Main is the most attempted BTech entrance exam in India, we have mentioned the B.Tech Artificial Intelligence Entrance Exam Syllabus

JEE Main: Chemistry Syllabus

Candidates can check the JEE Main Chemistry Syllabus from the table below.

JEE Main: Physics Syllabus

Candidates can check the JEE Main Physics Syllabus from the table below.

JEE Main: Mathematics Syllabus

Candidates can check the JEE Main Maths Syllabus from the table below.

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.

• Artificial Intelligence: The Basics by Kevin Waricks
• Artificial Intelligence- A Modern Approach by Stuart Russell and Peter Norvig
• The Hundred Page Machine Learning Book by  Andriy Burkov
• Machine Learning- The New AI by Ethem Alpaydim