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Taught by practitioners
Designed and delivered by IIT Madras alumni who have shipped machine learning and AI products in industry.
Medha AI Cohort · Enrolling 2026
Learn AI. Build real projects.
Grow your skills.
Trivo AI Labs, an initiative by IIT Madras alumni, helps engineering students learn practical AI skills through clear, hands-on courses. From basic Python to building AI applications — every student finishes with real work they can show.
An IIT Madras alumni initiative
- Six tracks
- Five bundles
- 16 to 64 teaching hours
- College-paid cohorts from 100 students
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Built for Tier-2 and Tier-3 colleges
Simple language, realistic pacing and weekly plans that survive contact with a real academic calendar.
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Project, not just a certificate
Every track ends with work a student can open, run and explain in a viva or an interview.
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Honest about limits
No placement guarantees, no inflated claims. We put what we do not promise in writing, on this website.
Programme numbers
Delivery figures from cohorts completed so far.
Six tracks, from first line of Python to agentic AI
Each track is self-contained, priced per student and sized to fit a semester. Bundle two or more and the per-student price drops.
Basic Python Programming
Fundamentals of Python, logic building and essential data structures for absolute beginners.
- Learn core Python syntax, variables, loops and functions
- Build strong logical thinking and problem-solving skills
- Hands-on practice with lists, dictionaries and basic programs
₹2,500 per student · Min 100 students
Python + AI Tools & ChatGPT Basics
Python core combined with practical prompt engineering, API usage and AI workflow tools.
- Strengthen Python fundamentals while learning AI tool integration
- Master prompt engineering and ChatGPT productivity workflows
- Use APIs and simple automation to speed up real tasks
₹3,500 per student · Min 100 students
Build Your First AI App Recommended
End-to-end AI application development using modern tools and frameworks.
- Design and build a complete AI-powered application from scratch
- Work with modern LLM frameworks and deployment basics
- Create a portfolio-ready project with GitHub integration
₹5,000 per student · Min 100 students
Advanced AI Project (Agentic Systems)
Complex AI architectures, multi-agent systems and autonomous workflows.
- Design multi-agent systems and autonomous AI workflows
- Learn advanced orchestration, tool calling and memory patterns
- Deliver a sophisticated agentic project for advanced portfolios
₹7,500 per student · Min 100 students
No-Code / Low-Code AI Tools
Productivity tools, workflow automation and prompt engineering for non-CSE branches.
- Master no-code/low-code AI tools for daily productivity
- Automate workflows without writing complex code
- Tailored for Mechanical, Civil, EEE, MBA and Commerce students
₹3,000 per student · Min 100 students
Complete AI Mastery
Full pathway covering all five tracks — from Python basics to advanced agentic systems.
- Complete journey from beginner to advanced AI practitioner
- Modular structure allowing flexible pacing across the semester
- Maximum portfolio depth with multiple projects and GitHub showcase
₹13,500 per student · Min 100 students
A simple path from zero to a finished project
Start where you are
Basic Python or no-code tools. We place students by what they can already do, not by which year they are in.
Learn by doing
Short guided sessions followed by hands-on practice every week. Concepts are introduced only when a task needs them.
Build something real
Each track ends in a working project, scoped so a student can genuinely finish it alongside their coursework.
Show your work
A GitHub repository, a short demo and practice explaining the project out loud in a viva-style review.
What a typical week looks like
Every week follows the same rhythm, so students always know what is expected and departments always know what is happening.
- Guided session
- 90 minutes, live. One concept introduced, then built in front of the class from an empty file.
- Practice set
- A short set of tasks tied directly to that session. Designed to take under two hours.
- Project increment
- One piece of the final project, added each week so nothing is left to the last fortnight.
- Doubt clearing
- An open slot for students who are stuck, before the next concept lands on top.
- Department update
- Attendance and completion figures shared with the coordinating faculty member.
Built for Indian engineering colleges
We use simple language, clear weekly plans and realistic expectations. Administrators get attendance and project records they can file. Students get skills they can actually use.
- College-paid cohorts, minimum 100 students
- Modular tracks that fit around exams and academic calendars
- Attendance, completion and project reporting for internal and accreditation use
- Written commitments about what we do and do not promise
- A repeatable structure you can run again next semester
What colleges say
What we do not promise
Honest communication with colleges and students matters more to us than a stronger sales pitch.
- We do not guarantee placements or job offers.
- Outcomes depend on student attendance, effort and prior readiness.
- We do not claim that every student will become an AI expert in a few weeks.
- We focus on practical skills and projects that students can actually show.
Common questions from colleges
Who are these AI programmes for?
They are built for engineering and degree college students in India, including students with no coding background. Tracks 1, 2 and 5 start from absolute basics, while Tracks 3 and 4 assume some programming comfort. Colleges usually run different tracks for different branches or year groups.
Do you guarantee placements or job offers?
No. We do not guarantee placements, job offers or internships, and we ask colleges not to present our programmes that way. What we commit to is structured teaching, hands-on practice and at least one project the student can open, run and explain.
Is there a minimum number of students?
Yes. Every track runs for college-paid cohorts of 100 students or more. This keeps the per-student price low and lets us staff the sessions properly. If your batch is smaller, write to us and we will tell you honestly whether we can make it work.
How are the sessions delivered?
Sessions are hands-on and delivered on campus or online, depending on what suits your calendar. Each week combines a short guided session with practice work students complete on their own machines or in the college lab.
What do students need to bring?
A laptop or access to a college computer lab, and a stable internet connection during sessions. All the tools we teach have free tiers, so students do not need to buy software or paid API credits to complete the core work.
Can the programme fit around our academic calendar?
Yes. The tracks are modular, so a 24-hour track can run as four hours a week for six weeks, or in a compressed block during a lighter part of the semester. We plan the schedule with your department before the cohort starts.
What does the college receive during and after the programme?
Attendance records, a weekly completion summary, and a project completion overview suitable for internal reporting, NAAC or NBA documentation. We hand these over at the end of the cohort in a format you can file directly.
Do students get a certificate?
Students who meet the attendance and project requirements receive a completion certificate from Trivo AI Labs naming the track and hours completed. It records what they actually did — we do not issue certificates for attendance alone.
How much does it cost?
Individual tracks run from ₹2,500 to ₹13,500 per student depending on length and depth, and bundles reduce that further. Prices are indicative for college-paid cohorts and are confirmed in a written quotation before anything starts.
How do we get started?
Send us your student numbers, branches, year groups and the months you have in mind. We will come back with a proposal covering the recommended track, schedule, pricing and deliverables. There is no cost or obligation at that stage.
Next step
Ready to plan a cohort?
Tell us your student numbers, branches and preferred months. We will send a written proposal with dates, pricing and deliverables — usually within two working days.