Fellowship Program in AI NativeSoftware Engineering

Built by AI Native SDEs & AI Industry Leaders

25 LPA+

Avg ANP Salary

16 Weeks

Online & Embedded

Fees starts from ₹ 10,000/month*

Next cohort starts July 8, 2026.

Phone

The AI Native Demand Is Exploding

AI is reshaping nearly 4 in 10 core job skills by 2030.

World Economic Forum, Future of Jobs Report 2025

World Economic Forum, Future of Jobs Report 2025

Pay for AI-skilled workers is rising far faster than for everyone else

PwC, 2026 Global AI Jobs Barometer

PwC, 2026 Global AI Jobs Barometer

Demand for engineers who can build AI agents jumped 280% in a year

Stanford, 2026 AI Index

Stanford, 2026 AI Index

AI skills are the fastest-rising in the workforce right now

LinkedIn, Skills on the Rise 2026

LinkedIn, Skills on the Rise 2026
Program Curriculum

Designed to Make You AI Ready

Dual-Track Learning Path

Phase 1 · Week 1-4 · Foundations

Technical Track

  • Reasoning in code, project setup, and AI-first tooling
  • How LLMs actually work: prompting, context, and RAG
  • Planning, roadmaps, and architecture decisions with ADRs

Business Track

  • Reading the real business need behind a request
  • Framing a problem worth solving with AI
  • Scoping, success metrics, and stakeholder mapping

Phase 2 · Week 5-8 · Build and Defend

Turn design into shipped software and defend your first working version.

Technical Track

  • Structured prompting with tests and verification
  • Design to production UI with accessibility
  • Shipping your first feature end to end
  • Defending your MVP to a panel

Business Track

  • Turning model behavior into user value
  • Demo storytelling for non-technical audiences
  • Defending scope and trade-offs
  • Adoption planning and feedback loops

Phase 3 · Week 9-12 · Production and Scale

Make it reliable, secure, and worth paying for.

Technical Track

  • Data design and query performance
  • Testing, debugging, and coverage discipline
  • Security, audits, and performance targets
  • Documentation that stays current with the code

Business Track

  • Cost to serve, ROI, and pricing logic
  • Risk, compliance, and trust as selling points
  • Turning metrics into a business case
  • Change management and rollout strategy

Phase 4 · Week 13-16 · Launch and Career

Ship the final build, present it, and walk out hireable.

Technical Track

  • Releases with validated rollback
  • Launch Day demo to a hiring panel
  • Repos, READMEs, and architecture walkthroughs
  • Certification on completion

Business Track

  • Packaging the work as a product story
  • Pitching outcomes to a hiring panel
  • Portfolio and professional positioning
  • Interview prep on solutioning and trade-offs
What to Expect

Admission Process

This program is selective. Great learning comes from great peers. We choose individuals who raise the standard for themselves and for the room.

Apply Now

Fill the application form

Take the readiness test

Interview with the expert panel

Enroll and begin your journey

Inside Fleet Studio Academy's
Embedded Ecosystem

An integrated stack of core concepts, simulation labs, and expert mentorship and industry immersion that is purpose built to accelerate careers through real world learning and hiring outcomes.

Fleet Studio Academy ecosystem

Technical Stack

The foundation
everything else is built on.

Technical Stack

Core technical foundations

Production-ready building blocks

Hands-on programming skills

Business Stack

Where the work
earns its place.

Business Stack

Real business impact

User and revenue thinking

Problem framing and strategy

Mentor Stack

Guidance from
people who ship.

Mentor Stack

Real-time product experts

1-1 reviews and workshops

Direct practitioner support

Career Stack

From finished
cohort to first offer.

Career Stack

Built-in placement support

Assured interviews

Fast-tracked opportunities

The Difference
The Difference

Most programs teach about the work.
We put you inside it.

Fleet Studio Academy is not a video course or a bootcamp running invented exercises. It is built inside a company that ships for Fortune 500 clients, and that changes everything about how you learn.

Real backlogs, not demo projects.

Your tasks are modeled on live product work. Messy data, security limits, moving scope, and a real definition of done.

Practitioners who ship

Every instructor and mentor is an engineer, product manager, or designer at Fleet Studio and top product companies.

Frameworks before tools.

You learn the decision-making that survives a tooling change, then apply it across the current AI stack.

Built for proof of work.

You graduate with reviewed builds, documented workflows, and a portfolio you can defend line by line.

A hiring pipeline, not a job board.

Ai Talent Summit and assured interviews connect your work to the people who hire, directly.

A network that compounds.

A practitioner community and Fleet Studio ties that keep paying off long after your cohort ends.