If you are evaluating the AI universities lanscape in India today, you already know that the AI landscape is no longer about a single ‘best option.’ The India AI impact summit was a proof that India’s artificial intelligence ecosystem has evolved from its early phase, to the ‘builder’ phase.
And the same is with the AI education system.
Over the past few years, institutions offering AI based courses have grown in number. But the structure for these course offerings has been uneven. Some universities focus on AI accessibility, some on deep technical research and few are now stepping into leadership and applied AI.
With the launch of the new AI focused school at IIM Ahmedabad, it marks the transition in how AI education in India is finally transforming.
What is the current state of AI education in India?
Before we delve into the existing institutions, the fact remains that India still doesn’t have a large number of standardized and standalone AI degrees with a stable placement system.
If you carefully observe the AI education landscape in India, it‘s divided into five layers:
- Government courses – For basic knowledge about AI
- Private universities – Provides early specialization and accessibility
- IITs – Very advanced technical depth and engineering roles
- IISc – For research and scientific innovation
- IIMs / ISB – For AI leadership and business application
Expanding access to AI education via private universities
Universities and institutions like Bennett University, Amity University, VIT vellore and SRM institute of Science and technology – all of these have played an important role in making AI education much more accessible to a large number of students, and people from non technical backgrounds.
These universities offer structured programs – like B.Tech in AI or AI and Machine Learning. These offerings helps a large number of students that are interested in learning about AI can do these courses without going through the extreme competitive exams like JEE advanced.
One of the notable offerings these private universities offer is that they focus on providing practical exposure, and also scaling with that knowledge. Students are introduced to hands on machine learning through project based learning, lab exposure and courses that are linked to real industry problems.
Since universities hold emphasis on placement numbers, it is important to approach these programs with clarity. An individual student’s skill level, internships/projects based experience usually influences those numbers.
Since AI is still fairly new in education, these institutions give you the foundation and not a full fledged outcome.
Government AI programs are expanding access at scale
The government of India is encouraging AI learning and AI adoption. The AI impact summit is a testament that the government wants the nation to become AI builders and AI adopters.
While many private universities are offering specialised courses for AI, the Indian government has also come up with initiatives.These focus on introducing a basic understanding of AI and beginner level AI skills to students and the people with a non technical background.
1. AI for All
- It is an earlier initiative which is a self learning online program. It’s designed to raise the public awareness about AI and help people build a digital first mindset.
- The aim for the course is to simplify AI for anyone interested in knowing about AI.
- The program is divided into two sections: AI Aware, and AI Appreciate. And Both sections can be completed in about four hours.
2. YUVA AI
- It is a new, upgraded national program under the IndiaAI Mission to make India an AI powered nation.
- This course is free and is designed to make students, professionals and other curious learners – basically everyone comfortable with the basics of AI and to show how AI it’s quickly transforming the world.
- This course is simple and is filled with real life Indian examples to make learning relatable and fun.
- You will receive a Government of India certificate once you complete the course.
Many national AI missions and centres of excellence are also working on bringing closer studying about AI and industry needs for AI. These programs do not replace the formal degrees. But not everyone has access to those degrees, or simply it might not intrigue people to spend that much time.
These initiatives play a significant role in making AI education in India more inclusive, future ready and also confident.
IIT Delhi and IIT Hyderabad
For people who want to move beyond the foundational learning of AI to a more technical and advanced structure, IIT Delhi and IIT Hyderabad define that level of AI education in India.
Let’s talk about IIT Delhi first. Advanced programs here like computer science, machine learning and interdisciplinary research integrate AI into their curriculum. Since IIT Delhi is one of the best institutions, they have strong relations with industry and startups. This allows the students to work on applied AI solutions simultaneously also building a rock hard theoretical base.
Naturally, with such an advanced level knowledge base with practical experience, graduates from IIT Delhi mostly move towards high impact roles. These roles may span across global tech companies, research labs, or building something of their own.
Meanwhile, IIT Hyderabad’s focus is on teaching AI as a core discipline. As one of the first institutions in India to introduce a dedicated B.Tech in AI, it designs its curriculum around modern AI systems. The course covers deep learning of AI systems, NLP and computer vision.
Together, these institutions represent the technical backbone of AI universities in India. This is where the emphasis shifts from learning tools to understanding systems at a deeper level.
IISc Bangalore
At IISc Bangalore, AI cuts across areas like computational data science, electrical engineering, and core computer science.
IISc focuses on research, unlike most universities that offer AI degrees as standalone degrees. It treats AI as a part of the larger scientific and engineering landscape. It also focuses on developing new systems, experimenting with ideas, and contributing to work that goes beyond immediate industry use.
If you resonate with the idea of pushing the boundaries of what AI can do – whether by pursuing a PhD, joining advanced research labs or working in highly specialised AI roles – you can find the most credible environments here.
IIM Ahmedabad’s Krishnamurthy Tandon School of AI
IIM Ahmedabad recently launched the Krishnamurthy Tandon School of AI. This school is focused on how AI is actually used and how it can work more efficiently in the real world decision making scenarios.
India has no shortage of engineers who can build AI systems. But there aren’t a lot of professionals who can apply those systems efficiently into businesses, institutions or societal challenges.. This gap is what the Krishnamurthy Tandon School of AI is aiming to bridge.
The idea is to derive insights that are globally relevant and also grounded in Indian contexts. By launching programs that bring AI – out of the technical discipline, and into the conversation with management, governance, and societal challenges.
The launch of this school is a clear indication that the traditional AI education models, which mainly focused on engineering, are moving towards a more non technical approach to make AI accessible for more people.
AI Universities in India (2026): programs, benefits and fit
| Institution | Programs Offered (AI-related) | Key Benefits | Best For |
| IIM Ahmedabad (BPGP: BA & AI) | Blended MBA in Business Analytics & AI (2-year hybrid) | Combines AI + business strategy, strong alumni network, leadership-focused curriculum | Working professionals aiming for AI leadership & strategy roles |
| Bennett University AI Programs | B.Tech AI, BCA AI, M.Tech AI, MSc AI, MCA AI, PhD | Industry-focused curriculum, strong practical exposure, interdisciplinary specializations | Students starting early in AI, looking for industry-ready skills |
| IIT Hyderabad Programs | B.Tech in Artificial Intelligence + AI-related CSE tracks | One of the first dedicated AI degrees in India, strong research + systems focus | Students seeking deep technical AI specialization |
| IIT Delhi | AI integrated within M.Tech, CSE, ML & interdisciplinary programs | Strong industry + research exposure, high-end engineering roles | Students targeting top tech roles or applied AI engineering |
| IISc Bangalore | AI via Computational Data Science, EE, CS research programs | Research-first environment, global-level innovation, PhD pathways | Students aiming for research, academia, advanced AI roles |
| VIT Vellore | B.Tech AI & ML, Data Science programs | Large ecosystem, labs, industry exposure, multiple specializations | Students wanting structured AI degrees with scale |
| SRM Institute of Science and Technology | B.Tech AI & ML, Data Science | Industry tie-ups, global exposure, internship focus | Students seeking applied AI + international exposure |
| Amity University | B.Tech AI, AI & ML, Data Science | Broad-based AI education, multiple campuses, accessibility | Students looking for flexible entry into AI education |
What has changed in 2026
IIM Ahmedabad has clearly targeted the gap in AI education in India.
Earlier, the structure of AI education was very basic and was limited to specialised fields of study. Non technical students couldn’t really access the depth of AI and could only learn about it on an undergraduate level. Engineers had access to indepth technical knowledge but only because they had specialized at advanced institutions. Simply put, there were very limited pathways for AI leadership.
But with the advent of AI over the past two years, it has increased the demand for AI talentbeyond engineers. Literally every field now requires someone who is specialised in AI.
In 2026, organizations are demanding professionals who can easily translate AI capabilities into simple language and business outcomes. As AI handles more and more work, professionals now need to make strategic decisions based on the data that AI provides.
The future of AI has moved beyond technical. AI now integrates into both operational and strategic levels, and that has changed in 2026.
Choosing the right AI program in India
It is not as difficult as you might think it to be.
If you are someone who is just starting out with AI, and wants to learn the basics and also have a sense of comfortability first, then universities like Bennett, VIT, SRM, and Amity – they all provide entry points into AI.
But, if you are already into the AI ecosystem, but want to build a more thorough and deeper technical expertise, then IIT Delhi and IIT Hyderabad offer the credibility and understanding which is required for high end engineering roles.
If you are someone who is interested in researching AI overall, IISc Bangalore is the best choice for that.
And, if you’re already a part of the workforce but are looking to transition into AI driven leadership roles, then programs that IIM Ahmedabad has to offer are the best choice for that.
Sit with yourself, analyse where you are standing in the AI learning ecosystem, and choose a course that fits you the best. Everyday there’s hundreds of changes happening globally in the AI ecosystem, and if you are feeling behind on those, I think it’s time you choose a course and stay on top of the AI funnel.
