What is AI & ML?: Course Fees 2025, Subjects, Top Colleges, Admissions

1. Based on Capabilities:

• Artificial Narrow Intelligence (ANI): Also known as Weak AI, ANI is designed to perform specific tasks. It operates under a limited set of constraints and cannot function beyond its predefined capabilities. Examples include voice assistants like Siri and Alexa, which can perform tasks such as setting reminders or playing music but cannot perform functions outside their programming.

• Artificial General Intelligence (AGI): Referred to as Strong AI, AGI would possess the ability to understand, learn, and apply intelligence across a broad range of tasks, similar to a human being. AGI remains theoretical and has not yet been realized.

• Artificial Superintelligence (ASI): ASI surpasses human intelligence in all aspects, including creativity, problem-solving, and decision-making. This level of AI is purely hypothetical and is a common subject in Science fiction discussions.

2. Based on Functionalities:

• Reactive Machines: These AI systems can only react to current scenarios and cannot use past experiences to inform decisions. They lack memory-based functionality. An example is IBM's Deep Blue, which was designed to play chess and could evaluate possible moves but had no memory of past games.

• Limited Memory: This type of AI can use past experiences to inform future decisions. Many current AI applications fall into this category, such as self-driving cars that observe other vehicles' speed and direction to make decisions.

• Theory of Mind: Still in the research phase, this type of AI aims to understand human emotions, beliefs, and thought processes, enabling more natural interactions.

• Self-Aware AI: This represents the most advanced form of AI, where machines possess self-awareness and consciousness. Currently, self-aware AI is theoretical and not yet developed.

BTech AI means BTech in the specialization of Artificial Intelligence, by the name we can come to know the 4 year tech course focuses on on the principles and applications of AI. Various sub-specialization one can pursue in this course are - Machine Learning, Deep Learning, Computer Vision, Natural Language Processing or Robotics.

Most universities require students to have completed 10+2 with Physics, Chemistry, and Mathematics as core subjects and getting at least 50 to 60% marks. Additionally, qualifying entrance exams like JEE Main and JEE Advanced are often mandatory for admission into top colleges. 

For getting admission to the BTech AI course, you should have at least 50 to 60% marks in the PCM subjects in Class 12 board exams. You should also give relevant entrance tests and get excellent marks in the same to get a seat at a popular college because the competition is quite high.

You need to fill out the college application forms on time before the registration window gets closed. After the results are out and you've got your marks and rank, you need to apply for the college counseling procedure that is meant for seat allotment.

After getting the seat, you must go to the college and pay the B Tech Artificial Intelligence course fee after which you can attend the classes as per schedule.

You can find the basic list of documents needed at the time of the BTech in AI admission procedure given below:

• Class 12 Mark Sheet with 50 to 60% marks in PCM subjects
• Provisional Certificate (if the original is not issued yet)
• Exam Result and Admit Card Copy (if applicable)
• Valid Identity Proof like Aadhar Card, PAN, Passport, etc.
• Reserved Category Certificate (if applicable)
• Migration and Character Certificates (may be needed)
• Recent Passport-size Photos

The time required to prepare for Artificial Intelligence and Machine Learning entrance exams in India cannot be said with any certainty, as it differs based on the particular exam you're planning to appear for. But in general, you should start your preparation at least 6 to 8 months before the final exam is tentatively scheduled to take place so that you have enough time in hand to cover all the syllabus sections, practice last years' question papers, take up mock tests, and revise the important topics in the last month.

There are more than 1,400 colleges for studying the BTech in AI and ML course in India, out of which around 420 colleges accept the JEE Main exam scores for admission. Top colleges like the IITs and NITs strictly ask for JEE Main and JEE Advanced scores for admission to the course. The competition is quite high here because of the demand of the field in the job market, so you should work very hard to score excellent marks and rank to grab a seat at a top college for AI and ML.

Joining BTech in AI colleges in India can be worthwhile for you. For that, you need to go through its ROI. Listed below are some of the colleges along with their total tuition fees and average placement package:

READ MORE: BTech Admission 2025

The BTech in AI course duration is generally 4 years in India. Almost all of the BTech degree courses have a 4-year long time span. The BTech AI syllabus is designed in such a manner that gives you both theory-based knowledge and practical experience via lab work.

You get to study some core subjects in the B Tech Artificial Intelligence syllabus and some elective subjects like Data Analytics, Cloud Computing, Big Data Tools, AI & Neuroscience, etc.

The BTech in AI curriculum typically covers core subjects like:

• Introduction to Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Structures and Algorithms
• Probability and Statistics
• Computer Vision
• Natural Language Processing
• Robotics
• Software Engineering
• Mathematics (Calculus, Linear Algebra)

Yes, many universities offer electives that allow students to specialize in specific areas of AI, such as:

• Big Data: Tools and Techniques
• Cloud Computing
• Computer Graphics
• Human-Computer Interaction
• Big Data Analytics
• Cybersecurity
• Data Analytics
• AI, Neuroscience, and Natural Intelligence

The BTech in AI syllabus is a perfect mix of core and elective subjects. The core subjects are compulsory for you to study in every semester as they are meant to give you a strong base in the field of AI. Coming to the elective choices, there are a lot of interesting options and you can choose the elective subjects as per your interests, something you resonate more with and easy to understand for you.

So, the elective subjects do give you that liberty of customizing your BTech in Artificial Intelligence syllabus in some way or the other.

There are about 1,300+ B Tech Artificial Intelligence and Machine Learning colleges in India. Of these, 1,000+ colleges are privately owned, 80 colleges are owned by public/government organisations and public-private entities own 10+ BTech colleges. Some of the popular colleges include VIT Vellore, IIT Roorkee, NIT Surathkal and many others. 

Yes, there are many private B Tech in Artificial Intelligence colleges in India along with their total tuition fees and their seat intake:

Hope this information proves beneficial for you!

There are 90 BTech in Artificial Intelligence government colleges in India. Some of the most sought-after colleges along with their course fee are given below:

Hope this answers your query.

Graduates have diverse career options in:

• Machine Learning Engineer
• Data Scientist
• AI Engineer
• Data Analyst
• Software Developer (AI)
• Research Scientist
• Robotics Engineer

Refer to the table below for a detailed overview of the top B Tech Artificial Intelligence colleges in India along with their average placemnt package and the prominent recruiters:

Disclaimer: This information is sourced from the official website/ media reports/ NIRF website and may vary.

READ MORE: Career after BTech

The application process for BTech in Artificial Intelligence course usually takes place in the online mode so that maximum number of students can apply for admission, simply by sitting at home without having to waste any time and money in travelling.
You should have the soft copies of all the important docs that you will have to upload at the time of filling the application form. Having said that, a few BTech in AI colleges may still follow the old practise of offline application process by filling the form at the college admission window. So, you can check the college websites for accurate information.

It is estimated that studying AI & ML Colleges in India can be expensive, 341 colleges have annual fees of more than INR 5 lakh. However, there are some affordable colleges mentioned below which are tuition fees of less than INR 1 lakh:

Disclaimer: This information is sourced from the official website/ media reports/ NIRF website and may vary.