AI Project Builder Program
A structured build program for taking one AI product from problem definition through architecture, implementation, deployment, and presentation.

A disclosed appointment—not a post-payment surprise.
An internal, project-based internship that runs concurrently with the 45-day build program.
The offer letter is queued after verified payment. The internship completion PDF follows the same first-eligible-Sunday schedule as the program completion certificate.
Applied AI Project Intern
- Remote work mode
- Unpaid appointment
- 45 days concurrent tenure
- Project-based learning relationship
This internal appointment is not employment and does not promise a job, interview, referral, income, or external internship.
Check the prerequisites honestly.
A program is useful when its starting point matches your current ability and the time you are prepared to protect for building.
Recommended starting point
- Basic ability to read and modify code
- A GitHub account or willingness to create one
- Consistent weekly availability for building and responding to feedback
If these expectations do not fit yet, choose a shorter program or spend time strengthening the basics before enrolling.
A visible sequence from brief to evidence.
Each milestone creates an artifact that can be reviewed. Later stages should not hide unresolved problems from earlier ones.
Problem brief
Define the user, workflow, success criteria, constraints, and non-goals.
Architecture
Plan the data, model behavior, interface, evaluation, and build sequence.
Implementation
Build in reviewable increments and resolve technical blockers with evidence.
Validation
Test expected behavior, edge cases, failure states, and user-facing clarity.
Release
Deploy, document decisions, prepare a demo, and explain the product honestly.
Structure and feedback around your build.
- Project selection and scoping
- Structured 45-day roadmap
- Milestone review framework
- Architecture and GitHub review criteria
- Testing and deployment guidance
- Peer learning prompts
- Demo preparation
Concrete outputs, subject to completion.
- Working AI product
- Documented GitHub repository
- Live deployment
- Technical documentation
- Demo presentation
- Program and internship completion PDFs scheduled after the recorded tenure
- Retrospective and next-step plan
Quality is more than “the demo worked once.”
Reviews consider the strength of the problem framing, implementation, validation, documentation, and your ability to explain technical decisions.
Problem and user clarity
Architecture and implementation choices
Reliability and failure handling
Documentation quality
Ability to demonstrate and explain trade-offs
Terms that should be clear before payment.
Read the full student FAQ and refund policy if you need more detail.
Open all program questionsEnroll in AI Project Builder Program
Review the ₹499 fee, refund policy, active delivery details, and any optional third-party model, API, or hosting costs before continuing to Razorpay.