For institutions
Every student gets the right AI path.With proof they did the work. Pick your department below. We show which tracks suit your students, what they build, and what they walk away with: a verified certificate and an evaluation score an employer can read.
74 industry-style internships
13 tracks, beginner to advanced
87 research papers linked
1 AI mentor for each student
Paths by department
Choose your department. A path by level, not by degree. Your department decides which year starts where, and can add, drop or reorder tracks.
Engineering and computing Management, commerce and arts
Start from Python and end with a portfolio. Students enter at the level that fits their year and move up.
Tracks Drills in these tracks
Beginner
1 Foundation AI/ML Python, language modelling, regression, segmentation, a first AI agent
What they get A working AI service and a first project on their own GitHub
Intermediate
2 ML in Practice Regression, clustering, classifiers, serving a model in production
What they get Applied ML end to end, with an evaluation score
3 Agent Fundamentals A first agent, LangChain, LangGraph, text-to-SQL, ReAct
What they get A working LLM agent they can demo
Advanced
4 One specialisation Language Models, Computer Vision, Reinforcement Learning or Recommenders, built from the ground up
What they get Depth in one area to talk about in interviews and a thesis
5 Advanced Agent Programming Agent memory, a codebase-aware coding agent, shipping an AI tool
What they get A portfolio-grade project
6 Agent Infrastructure MCP servers, agent-to-agent calls, several agents in one system
What they get A systems-level project
Capstone
7 An industry-style internship Pick one: logistics, legal, marketing, software or IT support. A real-world project modelled on how those teams work
What they get Work shaped like the role they are applying for, with a score and a repo to show
What they get
A certificate and a score, both verifiable. Every drill ends in a completion test and a shipped project, graded on a fixed rubric. Anyone can verify a certificate with the QR code.
Thili Dot AI Private Limited
Certificate of Completion This is to certify that
Priya Raman
has successfully completed the drill
Build a Freight Booking Desk
Completed 15 October 2026 · Score 2.4 / 3.00
Gopi SubramanianFounder, Thili Dot AI
Credential ID 7Q4K-X2M9-PD3R
Sample certificate. A public verify page, no login, and it can be added to LinkedIn.
2.31 Avg drill score, out of 3.00
Applying Working depth (Bloom)
Build a freight booking desk 2.40
Test 2.5 · Repo 2.3 Fine-tune a ticket-routing model 2.10
Test 2.0 · Repo 2.2 Build a Text-to-SQL Agent 2.43
Test 2.6 · Repo 2.3 Sample evaluation view, as the student and the placement cell see it. Names and scores are illustrative.
Open to every department
No code needed for these. Management, commerce and arts students start with tracks built for their own work, with a human check at every step.
AI for Business Functions Join an imaginary food company and bring AI into supply chain, finance, marketing and HR.
MBA · M.Com · B.Com
AI for Consultants and Managers Scope an AI request, read a vendor demo, audit data readiness and cost an AI feature.
MBA · consulting
Master Claude Set up an AI coworker with your context, hand it the repetitive work, and review what it makes.
Everyone
AI for Your Small Business Decide what is safe to automate, then set up an assistant, bookkeeping and marketing.
Arts · B.Com · entrepreneurs
How a pilot works
Start small, review together. 1 Pick a department One department and one course to start.
2 Campus set up A private address and an admin dashboard.
3 Students build Internships, with a mentor for each student.
4 Review together Progress and outcomes, then decide how to grow.
Faculty can start with a 2-day Immersion. Your lecturers do the internships before their students do. Book a 30-minute demo