Builds that keep authorship visible.
Selected student work may show the problem, decisions, iteration, and ownership behind a project.
Applied AI build programs
Build something you can prove and explain.
Choose a structured path for taking one AI idea through scope, architecture, implementation, review, deployment, and a clear project story.
- Project-led from day one
- Milestone-based feedback
- A documented project you own
The central activity
Build, review, improve, ship.
Learning material supports the project when it becomes relevant. The program is organized around the decisions and outputs required to finish your build.
Certificates recognize required work. They do not replace skills, portfolio evidence, interview performance, or an employer’s hiring process.
Public learning & research
Open work has clear authorship and status.
Selected student projects, research notes, and early prototypes may be published with clear ownership, maturity, and purpose.
Explore student projects & researchExperiments with a clear status.
Technical explorations and early prototypes are shared as learning and research work—not as finished products.
Separate from client delivery.
Public repositories are not customer case studies, production-deployment proof, or a measure of commercial scale.
Three independent program paths
Choose the depth of support your project needs.
Each program has its own page with prerequisites, milestones, support, assessment criteria, deliverables, and a separate enrollment route.
AI Mini Build Sprint
A compact guided sprint for finishing one useful AI prototype and learning a disciplined build rhythm.
₹99one-time program fee
For a first focused build
- Finished prototype
- Concise project explanation
- Public build update
- Program completion certificate scheduled after the recorded tenure
AI Project Builder Program
A structured build program for taking one AI product from problem definition through architecture, implementation, deployment, and presentation.
₹499one-time program fee
For a complete portfolio project
- Working AI product
- Documented GitHub repository
- Live deployment
- Technical documentation
AI Product Fellowship
A longer product-building track with stronger product depth, expanded review checkpoints, and a detailed case study.
₹899one-time program fee
For deeper product practice
- Production-minded AI product
- Polished GitHub portfolio
- Detailed personal case study
- Demo video
What the work should produce
Evidence that survives a follow-up question.
A portfolio becomes credible when you can show the artifact, explain the reasoning, and discuss what did not work—not when it contains the most buzzwords.
01
A clear problem brief
Who the product is for, what it should improve, what success means, and what is deliberately out of scope.
02
A working implementation
A project you build and can demonstrate—not a copied repository or an assignment completed for you.
03
Reviewable engineering work
Architecture decisions, version history, feedback, testing, and visible improvement over time.
04
A credible product narrative
Documentation and a demo that explain choices, evidence, limitations, and next steps.
What support means
Feedback on your work—not someone else doing it.
Support is intended to improve scope, decisions, implementation quality, testing, documentation, and how you communicate the project.
Read the complete build processSpecific reviews
Feedback should point to a decision, artifact, blocker, or next action.
Visible iteration
Progress is easier to improve when the scope and implementation are reviewable.
Builder ownership
The student implements, tests, and explains the project. Ownership cannot be outsourced.
Applied AI build programs
View program detailsReady to build evidence, not just complete content?
Choose the program depth that fits your current experience and the project you want to ship.