AI ML Courses: Overview, Eligibility, Duration and Career Scope
Nishit Kumar is a senior EdTech industry leader with over a decade of experience in building and scaling education platforms, shaping their product, content, and growth strategy. At…
AI and Machine Learning (AI ML) courses in India are available across 3-to-4-year undergraduate degrees (B.Tech, BE, BCA, B.Sc), 2-year postgraduate degrees (M.Tech, MCA), and 6-to-12-month professional diploma and certification programs.
| Parameter | Details |
|---|---|
| UG Course Duration | 3 Years (BCA / B.Sc) to 4 Years (B.Tech / BE) |
| PG Course Duration | 2 Years (M.Tech / MCA) |
| Certification / Diploma Duration | 6 Months (480 Hours) to 1 Year |
| UG Eligibility Criteria | 10+2 with Physics, Mathematics, and Science with minimum 50% aggregate marks |
| PG Eligibility Criteria | Bachelor’s degree (preferably Computer Science) with minimum 50% aggregate marks / valid GATE score |
| Key Entrance Exams | JEE Main, CET, COMED-K, GATE |
What is Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) academic programs focus on computational learning theory, algorithm design, statistical modeling, and autonomous systems. Students learn to build algorithms capable of analyzing complex datasets, identifying patterns, and making automated decisions without explicit programming.
India hosts over 1,800 Global Capability Centres (GCCs), with more than 500 dedicated specifically to AI applications. To support this infrastructure, the Government of India allocated over ₹10,300 crore under the IndiaAI Mission to scale national GPU compute capacity to over 58,000 units. Between 2024 and 2026, demand for AI skills in India grew 75% faster than for traditional IT roles.
Course options span multiple degree levels and durations to accommodate different academic backgrounds:
- Undergraduate Degrees (B.Tech / BE): 4-year technical programs offering comprehensive engineering foundations in AI and ML.
- Undergraduate Computer Applications & Science (BCA / B.Sc): 3-year degree programs focusing on practical software applications, programming, and data science.
- Postgraduate Degrees (M.Tech / MCA): 2-year advanced degrees focusing on specialized research, deep learning, and advanced algorithms.
- Diplomas & Short-term Certifications: Professional training programs ranging between 6 months (480 hours) and 1 year, designed for upskilling in specific tools and frameworks.
Artificial Intelligence & Machine Learning Eligibility
- Undergraduate Level (UG Programs): Admission into AI ML degree programs requires passing 10+2 with Physics, Mathematics, and Science subjects with a minimum of 50% aggregate marks.
- B.Tech / BE Entrance Pathways: Merit-based admissions for B.Tech/BE in AI ML require qualifying entrance exams like JEE Main, CET, or COMED-K.
- Postgraduate Level (M.Tech): PG admission to M.Tech in AI requires a Bachelor’s degree in Computer Science or equivalent with at least 50% aggregate marks, often requiring a competitive GATE score.
Eligibility criteria for AI and Machine Learning courses depend on the degree level and admitting institution. Candidates must meet minimum aggregate mark requirements and qualify for relevant entrance exams.
Artificial Intelligence & Machine Learning Admission Process
- Undergraduate (B.Tech/BE): Requires passing 10+2 with Physics, Mathematics, and Science subjects with at least 50% aggregate marks, plus qualifying entrance exams such as JEE Main, CET, or COMED-K.
- Postgraduate (M.Tech): Requires a Bachelor’s degree in Computer Science or equivalent with a minimum 50% aggregate score and often a competitive GATE score.
Admission to undergraduate engineering programs relies on entrance exams like JEE Main, CET, or COMED-K. Postgraduate M.Tech candidates need a relevant Bachelor’s degree with 50% aggregate marks and often a valid GATE score.
Artificial Intelligence & Machine Learning Syllabus and Subjects
The academic curriculum for AI and ML blends core computer science fundamentals with advanced statistical modeling and emerging technologies. Students gain proficiency in programming languages like Python and SQL, alongside specialized libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and Keras.
Curricula at leading technical institutions incorporate hands-on modules in Generative AI, Large Language Models (LLMs), MLOps (Machine Learning Operations), and Agentic AI alongside core ethical and governance frameworks.
| Module Category | Core Subjects & Topics Covered | Key Tools & Frameworks |
|---|---|---|
| Mathematics & Statistics | Linear Algebra, Probability, Normal Distribution, Standard Normal Distribution, Business Moments | NumPy, SciPy, Statistics |
| Programming & DBMS | Application-based programming, Data Structures, Database Management Systems, Computational learning theory | Python, SQL, Git, GitHub |
| Supervised Learning | Linear Regression, Logistic Regression, Support Vector Machines (SVM), Cost Function, Gradient Descent | Scikit-Learn, Pandas |
| Model Evaluation & Ensemble | Bootstrapping, Majority Rule, Classifier Evaluation, Random Forest, Feature Selection | Scikit-Learn, Matplotlib, Seaborn |
| Unsupervised Learning | K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA) | Scikit-Learn, SciPy |
| Neural Networks & Deep Learning | Artificial Neural Networks (ANN), Backpropagation, Activation Functions | TensorFlow, Keras |
| Advanced & Emerging AI | Generative AI & LLMs, MLOps, Agentic AI, Ethics & Governance | NVIDIA Compute, Cloud AI (AWS/Azure/GCP) |
Artificial Intelligence & Machine Learning Fees
| College | City | Ownership | Total Course Fee |
|---|---|---|---|
| L.D. College of Engineering | Ahmedabad | Government | ₹8,190 |
| Elphinstone College | Mumbai | Government | ₹16,044 |
| Nalanda College of Engineering | Chandi | Government | ₹43,980 |
| University College of Engineering, Osmania University | Hyderabad | Government | ₹60,000 |
| Universal College of Engineering and Technology Guntur | Guntur | Government | ₹80,000 |
| Dr. Ambedkar Institute of Technology | Bangalore | Government | ₹1.18 lakh |
| Rajiv Gandhi Proudyogiki Vishwavidyalaya | Bhopal | Government | ₹1.32 lakh |
| Govind Ballabh Pant Engineering College | Garhwal | Government | ₹1.52 lakh |
| Annamalai University | Chidambaram | Government | ₹1.55 lakh |
| Gujarat Technological University | Ahmedabad | Government | ₹1.60 lakh |
Government colleges have a median total course fee of ₹1.60 lakh, with the middle half ranging from ₹1.18 lakh to ₹2.60 lakh. First-year fees include INR 51,200 at Dr. Ambedkar Institute of Technology and INR 2.66 lakhs for MTech in AI at IISc Bangalore.
Top Artificial Intelligence & Machine Learning Colleges
Top Indian institutes offer dedicated departments, research centers, and high-performance computing labs for AI education. IIT Hyderabad was the first institute in India to establish a full-fledged Department of AI offering B.Tech, M.Tech, and Ph.D. degrees. IIT Delhi provides a flagship B.Tech in AI and Data Engineering through its School of Artificial Intelligence (ScAI), while IISc Bangalore offers a 2-year M.Tech in Artificial Intelligence with focus areas in Robotics and Autonomous Systems (RAS) and Computational and Data Sciences (CDS).
IIT Madras provides a B.S. in Management and Data Science, an M.Tech in Data Science & AI, and a PG Diploma in Manufacturing Analytics. Bennett University Noida offers a B.Tech in Artificial Intelligence focusing on Agentic AI, featuring labs set up with NVIDIA, Google Research, and AWS Academy, where the highest package for B.Tech AI graduates reached ₹1.37 Crore PA.
Geographically, options are spread across major engineering hubs: Andhra Pradesh has 193 colleges, Karnataka has 190 colleges, Telangana has 157 colleges, Uttar Pradesh has 154 colleges, Maharashtra has 150 colleges, and Tamil Nadu has 135 colleges offering AI ML programs.
| City | Colleges | Fee Range | Well-known Options |
|---|---|---|---|
| Bangalore | 98 | ₹1.18 lakh – ₹24.00 lakh | Alliance University, Jain University |
| Hyderabad | 92 | ₹60,000 – ₹28.85 lakh | Jawaharlal Nehru Technological University Hyderabad, Woxsen University |
| Bhopal | 47 | ₹1.32 lakh – ₹7.92 lakh | VIT Bhopal University, Lakshmi Narain College of Technology Excellence |
| Pune | 43 | ₹1.24 lakh – ₹21.19 lakh | MIT World Peace University, Symbiosis International University Pune |
| Coimbatore | 42 | ₹1.08 lakh – ₹10.14 lakh | Avinashilingam Institute for Home Science and Higher Education for Women, KPR Institute of Engineering & Technology |
| Chennai | 37 | ₹1.10 lakh – ₹18.40 lakh | Saveetha Institute of Medical and Technical Sciences, Sri Ramachandra Institute of Higher Education and Research |
| Kolkata | 31 | ₹1.08 lakh – ₹15.46 lakh | Amity University Kolkata, Institute of Engineering and Management |
| Guntur | 30 | ₹80,000 – ₹11.40 lakh | Acharya Nagarjuna University, Vignan’s Foundation for Science, Technology, and Research |
Placement figures vary by campus infrastructure and recruiters. Across 162 reporting colleges, the median average placement package is 3.5 LPA. The table below outlines private engineering institutes categorized by their average placement packages:
| College | City | Ownership | Total Course Fee | Average Package |
|---|---|---|---|---|
| Keshav Memorial Institute of Technology | Hyderabad | Private | ₹4.37 lakh | 7.17 LPA |
| BMS Institute of Technology and Management | Bangalore | Private | ₹11.24 lakh | 6.07 LPA |
| BVRIT Hyderabad College of Engineering for Women | Hyderabad | Private | ₹4.88 lakh | 5.96 LPA |
| Galgotias College of Engineering and Technology | Greater Noida | Private | ₹4.62 lakh | 5.76 LPA |
| Pimpri Chinchwad College of Engineering | Pune | Private | ₹21.19 lakh | 5.54 LPA |
| Delhi Technical Campus Greater Noida | Greater Noida | Private | ₹6.24 lakh | 5.45 LPA |
| Dayananda Sagar College of Engineering | Bangalore | Private | ₹3.35 lakh | 5.27 LPA |
| Aditya Institute of Technology and Management | Tekkali | Private | ₹3.18 lakh | 5.15 LPA |
| Vidya Jyothi Institute of Technology | Hyderabad | Private | ₹5.85 lakh | 5.12 LPA |
Artificial Intelligence & Machine Learning Career Scope and Salary
Graduates specializing in AI and Machine Learning work across software, financial services, e-commerce, healthcare, and research sectors. E-commerce and FinTech enterprises offer competitive salary ranges for AI Engineers, typically between ₹8 LPA and ₹40 LPA.
Compensation structures scale based on technical expertise, job role specialization, and experience levels:
- AI / ML Engineers: ₹6 LPA to ₹25 LPA (Designing ML algorithms, model deployment). Google offers Machine Learning Engineers in Bangalore packages between ₹15 LPA and ₹20 LPA.
- Data Scientists: ₹8 LPA to ₹30 LPA (Extracting insights from unstructured big data).
- NLP Engineers: ₹10 LPA to ₹35 LPA (Building speech recognition and language models).
- AI Research Scientists: ₹15 LPA to ₹50 LPA (Developing novel algorithms and deep learning architectures).
- Business Intelligence Developers: Average salary of ₹12.10 LPA (e.g., at Infosys), transforming model outputs into business intelligence dashboards.
Experience significantly impacts compensation trajectory across tech hubs:
- Mid-Level Engineers (2–5 years experience): Average packages range from ₹8 LPA to ₹30 LPA.
- Senior AI Engineers (5–10 years experience): Compensation ranges between ₹20 LPA and ₹60 LPA.
- Leadership AI Positions (10+ years experience): Executive leadership roles command packages from ₹40 LPA to over ₹1 Crore PA.
Geographically, Bangalore leads major Indian cities with AI engineer compensation ranging from ₹10 LPA to ₹40 LPA (equivalent to ₹83,000 to ₹3,33,000 monthly).
How to Apply for Artificial Intelligence & Machine Learning Admission in 2026: Step by Step
- Verify Eligibility Criteria: For UG programs, candidates must complete 10+2 with Physics, Mathematics, and Science with at least 50% aggregate marks. For PG M.Tech in AI, a Bachelor’s degree in Computer Science or equivalent with at least 50% aggregate marks is required.
- Register for Entrance Exams: Qualifying exams like JEE Main, CET, or COMED-K are required for merit-based B.Tech/BE admissions. Admissions to M.Tech programs often require a competitive GATE score.
- Fill Application Forms and Upload Documents: Register on official college or examination portals, complete the application form, upload required documents such as photo ID, signature, and mark sheets, and pay the application fee.
- Participate in Entrance Counselling: Qualified candidates participate in JEE counselling, CET counselling, or COMED-K counselling processes to secure merit allotment in AI programs.
- Confirm Admission: Complete final enrollment through merit counselling allotment or direct admission for management seats upon completing registration requirements.
| What to do | Where | Link |
|---|---|---|
| Compare colleges, fees and cutoffs | Artificial Intelligence & Machine Learning colleges in India | findmycollege.com |
Standard B.Tech and BE programs in AI span 4 years, whereas BCA and B.Sc degrees take 3 years and M.Tech programs span 2 years. Professional short-term AI training and diploma courses range between 6 months and 1 year.
FAQs
How to do AI and ML after 12th?
After 12th with Science and Mathematics (min 50%), candidates can enroll in 4-year B.Tech/BE in AI & ML via exams like JEE Main/CET/COMED-K, or opt for 3-year BCA/B.Sc programs in AI.
In which IIT AI ML course is available?
IIT Hyderabad offers B.Tech, M.Tech, and Ph.D in AI; IIT Delhi offers B.Tech in AI and Data Engineering through ScAI; and IIT Madras offers M.Tech in Data Science & AI alongside a B.S. program.
What is the salary of BTech AI?
Fresh B.Tech AI graduates earn starting packages between ₹5 LPA and ₹15 LPA. High performers at top private universities have secured packages reaching up to ₹1.37 Crore PA.
What topics are covered in the BTech in artificial intelligence syllabus?
Is AI ML a good career?
Yes. AI skill demand grows 75% faster than traditional IT, with entry-level salaries of ₹6–15 LPA scaling to ₹40–60+ LPA at senior levels across tech hubs like Bangalore.
How much do AI workers get paid?
AI professionals earn between ₹6 LPA (freshers) and ₹60 LPA or more (experienced engineers). Roles like NLP Engineers earn ₹10–35 LPA while AI Research Scientists make ₹15–50 LPA.
