B.Tech in Artificial Intelligence & Machine Learning Course: AI and ML are the booming industries of the 21st century. It becomes one of the most important specialities in the engineering sector. With rapid growth, B.Tech in Artificial Intelligence and Machine Learning offers a lot of job opportunities to students.
The AI and ML Engineering Course in India is one of the demanding B.Tech courses. If you are passionate about working with data and the reputed brands, this course will help you.
The growing demand for AI-driven solutions will help you to work with the most reputable international brands.
Moreover, read this full guide to know how to establish your career with a relevant knowledge of B.Tech in AI and ML course, fees, eligibility, admission process, syllabus, colleges, career options and scope.
Key Highlights
| Particulars | Details |
| Course Name | B.Tech in Artificial Intelligence & Machine Learning |
| Course Level | Undergraduate (UG) |
| Eligibility |
10+2 with Physics, Chemistry & Mathematics (PCM) from a recognized board
|
| Admission Process | Entrance Exam/Merit-Based |
| Average Course Fees | ₹1.5– ₹5 Lakhs per year (varies by college) |
| Average Salary After Completion | ₹5– ₹12 LPA for fresh graduates |
| Top Recruiters |
Google, Amazon, Meta, Microsoft, IBM, Infosys, TCS, Accenture, Wipro, NVIDIA
|
| Popular Entrance Exams |
JEE Main, JEE Advanced, WBJEE, MHT CET, KCET, VITEEE, SRMJEEE, BITSAT
|
| Minimum Marks Required | 50% – 60% aggregate (varies by institute) |
| Course Duration | 4 Years (8 Semesters) |
| Core Focus Areas |
Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Robotics, Neural Networks, Natural Language Processing
|
Why Choose B.Tech in Artificial Intelligence and Machine Learning Engineering?
Innovative AI skills
Artificial Intelligence and Machine Learning Engineering Specializations help students design innovative AI solutions for various industries. Thus, they will be able to resolve any kind of techniques for different AI domains.
Competitive salaries and career growth
Due to the high demand, AL and ML professionals get the best salary packages. This B.Tech program offers a set of courses that enable students to develop expertise in deep learning, data analytics, and advanced machine learning, thereby enhancing their careers.
Ongoing technological advancement
This program offers ongoing advancement of technologies that help aspirants get new job opportunities. Also, you can pursue M.Tech after completing B.Tech, and you can be involved in research work with the research centres.
Fees Structure
- The fee for a B.Tech in Artificial Intelligence and Machine Learning depends a lot on where you study. Government institutes such as IITs and NITs usually keep the cost manageable, charging around ₹50,000 to ₹2,00,000 per semester.
- Private colleges also offer this program, and their semester fee typically falls in a similar range.
Placement Opportunities & Salary Structure
- In terms of salaries, students from regular colleges start with about ₹4–5 LPA, while graduates from top institutes like IITs and NITs often secure packages above ₹20 LPA due to stronger placement support.
What is The Eligibility Criteria for 2027?
To secure B.Tech in Artificial Intelligence and Machine Learning Admission in 2027, you should meet some criteria.
Academic qualification
- Candidates should complete 10+2 examination with Physics, Chemistry, and Mathematics. Also, a 3-year diploma in CSE is applicable for the lateral entry students.
Minimum required marks
- Based on the specific requirement of the B.Tech colleges, an aggregate of 50%-60% marks is required.
Entrance exams
- Admission is based on the entrance level exam (JEE Advanced, JEE Main, and state-level exams). Lateral entry students need to take the JELET exam.
Document Verification
After selection, students need to submit the required documents for verification. These may include
- Class 10 and 12 certificates
- Entrance exam scorecard
- ID proof and other documents
What are The Subjects for B.Tech in Artificial Intelligence and Machine Learning Engineering?
| Core subjects | Specializations | Lab subjects |
| ● Computer Networks
● Operating Systems ● C, C++, Java, Python ● Machine Learning Fundamentals ● Database management systems ● Computer Organizations and Architecture ● Artificial Intelligence ● Deep Learning
|
● Big data and data analytics
● Quantum AI ● Cybersecurity ● Computer vision ● Natural Language Processing ● Robotics and automation ● Cognitive computing
|
● C lab
● Data structure lab ● C++ lab ● Computer networks lab ● Machine learning lab ● Mobile application development lab ● NLP Lab ● Robotics and Intelligent Systems Lab
|
Top Colleges For B.Tech in Artificial Intelligence and Machine Learning Engineering
| Institute | Average Annual Fees |
| IIT Madras | ₹2.0– ₹2.3 Lakhs per year |
| IIT Hyderabad | ₹2.2– ₹2.8Lakhs per year |
| NIT Surathkal | ₹1.6– ₹1.8 Lakhs per year |
| NIT Warangal | ₹1.5– ₹2 Lakhs per year |
| VIT Vellore | ₹1.98– ₹2.25 Lakhs per year |
| Amity University, Noida | ₹3.0– ₹3.5 Lakhs per year |
| BITS Pilani | ₹4– ₹5.5 Lakhs per year |
| Chandigarh University | ₹9- ₹14 lakhs per year |
| IIT Guwahati | ₹9- ₹10 lakhs per year |
What are the Career Roles in 2027?
Machine learning engineer
A machine learning engineer reduces human interaction by designing self-learning algorithms and decision-making systems. To start this career, you should have a vast knowledge of C, C++, datasets, and Python. However, the finance and technology sectors are widely hiring ML engineers to get optimized results.
Data analyst
The role of a data analyst is to organise, clean, and interpret a large amount of data. Nowadays, a lot of companies are hiring data analysts to work with large datasets and organise them in an efficient way. This career offers opportunities for advancement as a data scientist.
AI engineer
AI engineers are working with high-level datasets, and they develop AI models for different brands. They build an AI model and teach businesses to overcome challenges and the way of gaining revenue. However, AI engineers often advance their careers into research and business-level applications.
Big data architect
A big data architect maintains large-scale data infrastructures for businesses. They must know different AI tools and cloud environments. In AI-related fields, big data architects are getting the highest salary packages.
Top Recruiters
| Core companies / Top IT companies | Global companies | Other sectors |
| ● Wipro
● TCS ● HCL ● Capgemini ● Infosys ● PWC |
● Intel
● Microsoft ● Amazon ● Adobe ● Apple Inc.
|
● Oracle
● Genpact ● Procore Technologies Government sectors: ● Space Research ● DRDO |
B.Tech in AI & ML FAQs
1.What starting salary can B.Tech AI & ML freshers expect in India?
Freshers typically earn starting packages between ₹6 LPA and ₹12 LPA at mainstream product and IT firms. High-performing graduates securing roles at top tech companies, global innovation centers or AI startups can command packages ranging from ₹14 LPA to ₹22+ LPA.
2, What specialized job roles can I apply for after completing a B.Tech in AI & ML?
You can work in targeted tech roles such as Machine Learning Engineer, AI Data Scientist, Prompt/Generative AI Specialist, MLOps Engineer, Computer Vision Developer, and Natural Language Processing (NLP) Engineer.
3.Which top companies hire B.Tech AI & ML freshers?
Major recruiters span several key industry tiers:
-
Tech Giants: Google, Microsoft, Amazon, Meta, NVIDIA, and Adobe.
-
FinTech & E-Commerce: PhonePe, Razorpay, Swiggy, Flipkart, and Goldman Sachs.
-
IT Services & GCCs: TCS, Infosys, Accenture, Deloitte, and Walmart Global Tech.
4. Which are the top colleges in India for a B.Tech in AI & ML?
Leading institutions include top IITs (such as IIT Hyderabad, IIT Delhi, and IIT Madras) and premier IIITs like IIIT Hyderabad. Top private options include BITS Pilani, VIT Vellore, and SRM Institute of Science and Technology. Admissions are generally based on JEE Advanced, JEE Main or university entrance exams like BITSAT and VITEEE.
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