A Comprehensive Guide to the BTech AI and ML Syllabus

Home BTech AI & ML A Comprehensive Guide to the BTech AI and ML Syllabus
btech ai and ml syllabus

Are you planning to establish your career in the artificial intelligence industry?

If yes, then your first step towards your career decision is to pursue relevant courses i.e., BTech in AI and ML. Do you think you should know what you will learn in the course?

If yes, this blog is for you. This blog from Universal AI University gives a clearer view of the BTech in AI and ML syllabus, along with other prominent information about the course.


What is BTech in AI and ML?

The BTech in AI and ML course is a 4-year undergraduate-level course that involves inculcating knowledge on data extraction strategies, algorithms, methodologies, and incorporation of acquired data in developing automated systems and robotics using artificial intelligence.

BTech Artificial Intelligence and Data Science syllabus and course modules are designed with a motive to create a strong foundation on various concepts of AI such as IoT, etc.

Wanna know more about the course?

Here are further B Tech Artificial Intelligence course details.


Course Details of BTech in AI and ML course:

As many of you are planning to pursue BTech in AI and ML, here are the essential course details.

Eligibility Criteria:

The basic eligibility criteria to pursue a BTech in Artificial Intelligence and Machine Learning at Universal AI University are as follows:

  • Candidates should have completed 10+2 with physics, chemistry, and mathematics as compulsory subjects and one optional science subject.
  • Candidates should have scored a minimum of 50% aggregate in 10+2. 

Admission Procedure:

Admission to BTech in Artificial Intelligence and Machine Learning at Universal AI University is provided by conducting the UBSAT entrance test. 

Moving on to the important part of this blog, get to know the B Tech AI syllabus below.

Also Read: Understanding the Syllabus of a B.Tech in AI & ML Program


Syllabus of BTech Artificial Intelligence and Machine Learning Course:

The syllabus of BTech in AI and ML is curated and designed by experts in the field of artificial intelligence with a motive to provide students with comprehensive knowledge from the fundamental level to the advanced level of Artificial Intelligence.

Here are the BTech Artificial Intelligence subjects.


Core subjects Elective subjects
  • Computer System Architecture
  • Data and Analysis of Algorithms
  • Data Communications and Computer Networks
  • Web Technologies
  • Applied Statistical Analysis for AI and ML
  • Neural Networks
  • Pattern Recognition
  • Machine Learning 
  • Language Processing
  • Robotics
  • Automata
  • Deep Learning
  • Sensors
  • Internet of Things
  • C/C++
  • Java
  • Robotics
  • OOPS Lab
  • WKSP 2.0


Let us get to know the B Tech Artificial Intelligence and Data Science subjects in detail below.


Detailed Idea on the BTech Artificial Intelligence Subjects:

Getting to know better about each subject in BTech AI and ML will help you prepare yourself for your learning journey. So, here is a detailed idea on every subject of BTech AI and ML.


Subjects  Description 
Computer System Architecture Computer System Architecture educates students on how systems are designed, built, and operated to understand the various components and workings of the computer system. This subject is a foundational level subject.
Data Analysis and Algorithm Data Analysis and Algorithms help students understand the functioning of a product and develop efficient problem-solving skills in the field of AI and ML.
Data Communications and Computer Networks Data Communication and Computer Networks introduce students to concepts such as network concepts, system administration and maintenance, security issues, and operating systems.
Web Technologies  Web technology subjects deal with various website techniques, architecture, and other aspects of website building.
Applied Statistical Analysis for AI and ML Applied Statistical Analysis for AI and ML subjects trains students in identifying and constructing trivial patterns and codes, helps in predictive validation, etc in terms of AI.
Pattern Recognition As AI and ML majorly deal with pattern construction and operation, students will be trained on how to identify a pattern and decode and understand the operational schema in AI.
Neural Networks Neural Networks are an efficient way of making computer systems work impeccably and this subject will train students in it.
Language Processing Language Processing is one of the major facets of AI and students are educated on various techniques involved in this process via this subject.
Robotics  Robotics trains students in various aspects of robotics such as design, construction, operation, and use of robots.
Automata  Automata subject deals with the study of abstract machines along with the computational problems that can be solved using them.
Deep Learning Deep learning deals with how the computer handles the data from the context of the human brain.
Sensors  Sensors educate students on the various types of sensors and their applications in the field of artificial intelligence and machine learning.
Internet of Things The Internet of Things describes devices with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
C/C++ C/C++ is the programming language that is considered fundamental in the field of artificial intelligence.
Java Java is an advanced-level programming language that enables students to design efficient artificial intelligence solutions for a wide range of problems.


With this, hope you get a clear outline and insight on the BTech AI and ML syllabus

Pursuing BTech in Artificial Intelligence and Machine Learning will be quite easy if you know the basics of coding, programming, etc.



On reaching the concluding point, you have a better understanding of the BTech AI and ML syllabus. Start preparing yourself to learn all these subjects and establish your career successfully in the AI industry.



  • What is the syllabus of B Tech AI and ML?

The syllabus of BTech in AI and ML includes subjects such as computer system architecture, data structures and algorithms, Internet of Things (IoT), C/C++, Java, language processing, etc.


  • What is the basic understanding of AI and ML?

The basic understanding of AI and ML includes the implementation of human knowledge in the form of codes and algorithms to develop artificial computer systems with huge value.


  • Is BTech in AI good for future?

Yes, BTech in AI is good for the future as the AI industry is expected to grow at a Compound Annual Growth Rate of 5.4% thus leading to great career scope.


  • What is the career opportunity with AI?

With AI, there are a wide range of career opportunities such as data analyst, big data architect, data scientist, robotics programmer, IT specialist, database administrator, etc.