Choose your batch
Each batch has its own dates, timing and fee. Pick one to see its details and book.
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AI & Data Science Full-stack
For everyone: who want to strat from Basics
1 Dec 2026 – Nov 2027
12 months · Sundays, 10:00 AM to 01:00 PM
₹2,999 / month
₹35,988₹32,389 one-time · 10% off Open for booking -
Gen AI & Agentic AI Expert
For who knows Python and Data Science basics
13 Dec 2026 – Jun 2027
6 months · Monday to Friday, 7:30 PM to 8:30 PM
₹4,999 / month
₹29,994₹26,995 one-time · 10% off Open for booking -
AI for Real-World Applications - Handson
For who knows Python and Data Science basics
3 Jan 2027 – Apr 2027
3 months · Sundays, 07:00 PM to 11:00PM
₹12,999 / month
₹38,997₹35,097 one-time · 10% off Open for booking -
Project Lab: Semester Mini-Project
3 months
Book now; we email you the date
₹999 / month
₹2,997₹2,697 one-time · 10% off Date coming soon -
Project Lab: Final-Year Major Project
6 months
Book now; we email you the date
₹1,499 / month
₹8,994₹8,095 one-time · 10% off Date coming soon -
Project Lab: Project Pathway (3rd year to final year)
Selected
24 months
Book now; we email you the date
₹999 / month
₹23,976₹17,999 one-time · 25% off Date coming soon
Project Lab · Mini-projects + major
Project Lab: Project Pathway (3rd year to final year)
Two semester mini-projects that build up to your major project, all in one industry track.
- 24 months
- Weekend classes
- 4–6 hours a week
- Teams of 1–4
- 15 mentor-reviewed milestones
- All branches · 14 industry tracks
- Catalogue project or your own idea
Built for students who learned the subject in class and now need a real project with industry guidance. Work alone or in a team, pick a brief from the catalogue for your branch and industry (or bring your own idea), and build it with a mentor who reviews every milestone. Every brief comes with free, open datasets from India and around the world. We guide, you build: your team writes the code in its own repository, your mentor gives each team its own version of the project, and every hand-in carries an own-work declaration.
Fees
Monthly · per student
₹999 / month
Pay each month (UPI AutoPay or card). Cancel any time; access runs to the end of the paid month.
One-time · per student
Full price ₹23,976 25% off
₹17,999 for 24 months
Your whole project, every mentor review and session recording.
Or one fee for the whole team (up to 4 members)
₹2,499 / month or ₹44,999 one-time
The team leader pays once and every member is enrolled. Each team chooses how it pays when it forms.
How joining works
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1
Book a free seat
No payment now. Your seat is held in the next batch.
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2
Pay when the batch is confirmed
We email you; pay within 48 hours to keep your seat.
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3
Form your team and build
Start a team or join one with its code, pick a project (or propose yours), and hand in each milestone for your mentor to review.
How Project Lab works
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Your team, your way
Work alone or in a team of up to 4. The leader starts the team and shares its code; teammates join with it. Once we confirm the team, its members are fixed.
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Pick a project or bring yours
Choose a brief from the catalogue for your branch and industry, or propose your own idea for your mentor to approve.
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A mentor at every milestone
Your mentor reviews each hand-in, gives feedback and a score, and meets your team in live sessions.
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Real, open data
Every brief comes with free, open datasets, from India and around the world, so your project uses real data.
Milestones
Timed to fit your college reviews. Each one is handed in on My program and reviewed by your mentor.
Mini-project · stage 1
- Week 2 Problem and synopsis Agree the problem, the users and the dataset with your mentor. Hand in: Synopsis (1–2 pages) · Dataset link
- Week 5 Data and design Explore and clean the data, and plan how you will build the solution. Hand in: Data exploration notebook · Design note
- Week 9 Build review Show a working first version to your mentor. Hand in: Working prototype · Code repository
- Week 12 Final report and demo Hand in the finished project for your college. Hand in: Project report · Slides · Demo video
Mini-project · stage 2
- Week 28 Problem and synopsis Agree the problem, the users and the dataset with your mentor. Hand in: Synopsis (1–2 pages) · Dataset link
- Week 31 Data and design Explore and clean the data, and plan how you will build the solution. Hand in: Data exploration notebook · Design note
- Week 35 Build review Show a working first version to your mentor. Hand in: Working prototype · Code repository
- Week 38 Final report and demo Hand in the finished project for your college. Hand in: Project report · Slides · Demo video
Major project · stage 3
- Week 54 Topic and team approval Agree the project, its scope and the team's version of it with your mentor. Hand in: Abstract (half a page)
- Week 57 Synopsis and literature review What others have done, the gap your project fills, and the plan. Hand in: Synopsis · Literature summary
- Week 61 Review 1: design Requirements, system design and the data pipeline. Hand in: Design document · Data pipeline
- Week 65 Phase I report The phase-one report most colleges ask for at the end of the 7th semester. Hand in: Phase I report · Slides
- Week 70 Review 2: build The working system, with code in your team's repository. Hand in: Working system · Code repository
- Week 74 Review 3: results Testing and evaluation against the goals you set. Hand in: Evaluation results · Demo
- Week 77 Final report, paper and viva practice The final report in your university's format, a paper draft and a mock viva with your mentor. Hand in: Final report · Slides · Demo video · Paper draft
Projects you could build
For every branch, in 14 industry tracks. 3 in the catalogue for Cybersecurity & Digital Trust, or propose your own idea.
- Mini-project Cybersecurity & Digital Trust Fake news detector Flag likely fake or misleading news articles and explain why. Python · NLP · Media literacy · Ethics
- Major project Cybersecurity & Digital Trust Network intrusion detection with explainable alerts Detect attacks in network traffic and explain each alert to a security analyst. Python · Network security · Imbalanced learning · XGBoost or PyTorch
- Mini-project Cybersecurity & Digital Trust Phishing website classifier Tell phishing websites from genuine ones using features of their address and page. Python · Classification · Model explainability · Flask or Streamlit

