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90 days · For deeper product practice

AI Product Fellowship

A longer product-building track with stronger product depth, expanded review checkpoints, and a detailed case study.

Enroll for ₹899Review the build process
A face-free advanced product review table showing physical iterations, product concepts, and a case-study progression
Duration90 days
Program fee₹899
Best suited forFor deeper product practice
Go to secure enrollment
Included internal internship

A disclosed appointment—not a post-payment surprise.

An internal, project-based internship that runs concurrently with the 90-day fellowship.

The offer letter is queued after verified payment. The internship completion PDF follows the same first-eligible-Sunday schedule as the program completion certificate.

AI Product Development Intern

  • Remote work mode
  • Unpaid appointment
  • 90 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.

Before you choose

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

  • At least one previous technical project
  • Comfort using GitHub and development tools
  • Readiness for a longer product iteration cycle

If these expectations do not fit yet, choose a shorter program or spend time strengthening the basics before enrolling.

Build milestones

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.

  1. Opportunity framing

    Investigate the user problem, alternatives, and why the proposed product should exist.

  2. Product system

    Design the experience, model workflow, data boundaries, evaluation, and operating controls.

  3. Iterative build

    Develop multiple reviewable releases and improve from specific feedback.

  4. Production thinking

    Address reliability, observability, privacy, cost, deployment, and maintenance decisions.

  5. Case study

    Publish a structured narrative covering the problem, choices, evidence, limitations, and result.

Program support

Structure and feedback around your build.

  • Project Builder curriculum foundation
  • Expanded product review checkpoints
  • Deeper architecture and product review criteria
  • Portfolio and professional-profile checklist
  • Career narrative and roadmap framework
  • Prioritized issue triage during published support windows
Evidence you can produce

Concrete outputs, subject to completion.

  • Production-minded AI product
  • Polished GitHub portfolio
  • Detailed personal case study
  • Demo video
  • Program and internship completion PDFs scheduled after the recorded tenure
  • Iteration roadmap
Assessment lens

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.

01

Product judgment

02

Technical depth

03

Iteration quality

04

Evaluation and operational thinking

05

Clarity of case study and demonstration

Program FAQ

Terms that should be clear before payment.

Read the full student FAQ and refund policy if you need more detail.

Open all program questions

No. Program support can help with scope, architecture, blockers, review criteria, and next actions. The implementation, testing, documentation, and explanation must remain your work.

No. Programs develop skills and evidence. They do not guarantee employment, an external internship, interviews, referrals, income, or any particular career outcome. The 45- and 90-day pages separately disclose the included internal project-based internship.

No. Payment starts the recorded program tenure. If the payment remains valid and the enrollment is not on hold, completion documents are queued on the first Sunday after the full tenure ends.

Scope can be refined when feedback or technical reality requires it. Major changes should be discussed early so the project remains achievable within the program duration.

Delivery mode, start window, review availability, response expectations, and cohort-specific details are confirmed through program communication. Ask before payment if any of these details affect your ability to participate.
Before payment

Enroll in AI Product Fellowship

Review the ₹899 fee, refund policy, active delivery details, and any optional third-party model, API, or hosting costs before continuing to Razorpay.

Continue to enrollment