AI Internships in India 2026: Skills, Stipends and How to Get One
AI internships are among the most talked-about options for Indian students, and it's easy to feel you need an expensive data science degree or a paid certification to get one. Often you don't. What employers tend to want is evidence that you can build something useful, and you can start on that with a laptop and free software.
AI Internships in India 2026: Skills, Stipends and How to Get One
What AI interns actually do
Job titles vary, but listings commonly ask interns to train or test machine learning models, clean data, write prompts, or connect large language models (LLMs) to software products. Many roles sit closer to software engineering than to research, so strong coding can matter as much as maths.
- Machine learning intern: prepares data, then trains and evaluates models.
- Generative AI intern: builds features using LLMs, prompts and APIs.
- Data science or analytics intern: finds patterns in business data and presents them.
- AI product or operations intern: tests AI tools and improves how a team uses them. This can suit non-engineering students.
Skills employers ask for
Recent listings and career guides mention Python, TensorFlow or PyTorch, prompt engineering, LLMs and APIs. Basic cloud computing knowledge can also help, as many AI products run on cloud platforms. You don't need all of this at once. Start with Python, then learn one library well enough to finish a project.
Courses or projects first?
A good online course can give you structure, but a certificate alone rarely proves much. Before you spend money on a bootcamp or certification, read our guide to AI courses and certifications, which starts with the free options.
What AI internships pay
Job-board data suggests many listings sit between about ₹8,000 and ₹25,000 a month, with some specialist companies reported to pay much more and some small firms much less. Our AI internship stipend guide breaks down the numbers and explains how to judge an offer.
Where to find AI internships
Official programmes
Start with the AICTE Internship Portal and the PM Internship Scheme, and check the eligibility rules for each. Strong students may also qualify for funding through the IndiaAI Fellowship, which is covered in our government AI programmes guide.
Companies and job boards
Check the careers pages of companies building AI products, including startups, and use job boards such as Internshala, LinkedIn, Unstop and Wellfound to see what's open. Anyone can post on a job board, so confirm that the company is real by finding its website yourself.
Build proof that you can do the work
Two small, finished projects are usually better than ten half-finished ones. Pick problems you understand, such as:
- A chatbot that answers questions from your college's public rules or timetable
- A tool that sorts customer reviews by topic for a local business
- A model that predicts something from a public Indian dataset
Publish your code on GitHub with a short explanation of the problem, your approach, what went wrong and the result. Be ready to explain every line, including anything an AI assistant helped you write. Interviewers often test whether you understand your own project.
Apply carefully
Put your strongest project near the top of your resume, and mention the same tools the listing asks for if you've really used them. Our resume guide and interview guide cover the basics.
Avoid fake AI internships
AI is a popular label for scams and low-value paid programmes. Be wary of any offer that asks you to pay a registration or training fee, promises guaranteed placement, or gives you an instant offer with no interview. In July 2026, AIR News reported that PIB Fact Check had called a viral government internship claim fake, so check government offers on official websites. Our scam guide lists more warning signs.
Last checked November 2026. Stipends, course fees and programme rules change, and most stipend figures here come from job boards rather than official data. Confirm details with the employer, provider or official portal before you pay for or rely on anything. This is general information, not career or financial advice.