Next batch starts 23 Nov 2026
AI & Machine Learning Engineering internship
Train, evaluate and deploy models, then build real products on top of them.
Pick your commitment
The longer the plan, the lower the monthly rate, and the bigger the projects you finish.
- Models evaluated with numbers you can defend
- An AI feature deployed behind an API
- A portfolio of notebooks and production code
6 months · 26 weeks of guided work
24% off₹3,667/month + GST
₹21,999 paid once, plus 18% GST at checkout ₹28,999
You save ₹13,995 (39%) compared with paying month by month (₹35,994).
30 of 30 seats left in this batch
Start the 6-month planSign in with Google · Secure payment by Razorpay
Included
- Weekly recorded training modules
- A real project task every week
- Mentor review on every submission
- Student portal with progress tracking
- Verifiable internship certificate
- Capstone project for your portfolio
- Monthly one-to-one mentor call
- Letter of recommendation for strong performers
Only on longer plans
- Second capstone, built in a team(not included in this plan)
- Mock interviews and résumé review(not included in this plan)
What you'll build, week by week
Tasks unlock as your plan progresses. Each one is submitted in the student portal and reviewed by a mentor.
Weeks 1–4
Every plan- Week 1
Clean and explore a real dataset
Find the problems in the data before modelling.
- Week 2
Build an evaluation set
Decide how you'll measure success before you train.
- Week 3
Your first classifier
Train, evaluate and explain a baseline model.
- Week 4
Call an LLM from code
Structured output, retries and cost tracking.
Weeks 5–13
3 months plans and longer- Week 8
Retrieval over your own documents
Embed, search and ground answers in sources.
- Week 12
Serve a model with FastAPI
Wrap a model in a documented, tested endpoint.
Weeks 14–26
6 months plans and longer- Week 18
Capstone: problem and data
Pick a problem, collect data and define metrics.
- Week 24
Capstone: model and report
Ship the model with an honest accuracy report.
Weeks 27–52
12 months plans and longer- Week 36
Fine-tune a small language model
Prepare data, fine-tune and compare with prompting.
- Week 50
Production monitoring
Track drift, latency and cost in a dashboard.
About this programme
Start with data and evaluation, the parts most courses skip. Then train classic models, fine-tune language models and put them behind an API.
Every task is reviewed by a mentor who builds AI systems for clients.
Common questions
Why do I pay for an internship?
Because most of what you get is training. Structured lessons, mentor time and code reviews cost money to run. The internship is where you apply that training on real project work.
Will I get a stipend?
No. This is a training internship: you pay for the training and mentorship, and you get real project experience in return.
Do you guarantee a job or placement?
No, and be wary of anyone who does. What you will have is reviewed work, a portfolio and the experience to talk about it in interviews.
Which plan should I choose?
One month is enough to try the workflow. If you're serious about placements, pick 6 months or longer: that's where the monthly rate drops and the projects get substantial.
Is it online?
Yes. Lessons, tasks, submissions and reviews all happen in your student portal, so you can join from anywhere.
When does it start?
Paying confirms your place. Our team then allots you to the next batch and emails your start date and offer letter. Your plan's weeks count from your batch's start date, so you don't lose any time while you wait. New tasks unlock every week.
Is GST included in the price?
No. Prices on the site exclude GST; 18% GST is added at checkout and shown on your receipt.
Can I get a refund?
Internships are a digital service, so payments aren't refundable once your place is confirmed. Read the plan details before paying, and ask us anything first. The refund and cancellation policy covers the exceptions, such as a duplicate payment.
Do I get a certificate?
Plans that include a certificate list it under “Included”. Certificates, offer letters and recommendation letters are issued in your student portal, each with a QR code anyone can scan to verify it.