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Are you a graduate?
Become a
Day-1 Ready AI Native Engineer In 16 weeks

Introducing RAD Fellowship

A selective fellowship that helps graduates and early career engineers build a new career pathway in the era of AI.

16 weeks of industry immersive program

72 hours of instructor led sessions

96 hours of supervised industry capstone work

Our fellows have secured high-impact roles in leading technology companies

zoho
ford
cognizant
virtusa
persistent
freshworks
transcloud
mindtree
prodapt
tv

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Why being AI-Native matters now

Software careers are being reshaped in real time.
25%

Increase in salaries

for AI skilled professionals

109%

Growth in jobs

demanding AI skills

170mn

New jobs will be created

in the next 5 years

Not a Course. A Fellowship.

Build with AI, think with AI, and ship faster because of AI.

  • Cohort-Based, High-Commitment Learning

    You learn in small cohorts with fixed timelines, peer accountability, and consistent reviews. This simulates how real teams operate.

  • Real AI Projects, Not Simulated Assignments

    Projects are designed to mirror how AI is applied in real business and product environments, not toy problems or isolated exercises.

  • Long-Form Capstone with Mentor Review

    You work on a deep capstone over multiple weeks, with structured reviews from industry mentors who evaluate thinking, execution, and ownership.

  • Built for Professional Readiness, Not Just Completion

    The focus is on producing portfolio-grade work that reflects how you would perform in a real role, not just finishing modules.

Learn by Building Like AI-Native Professionals

Master AI native engineering, product, and automation workflows through immersive learning designed around real world execution.

Work on Real Product-Grade Problems

Gain experience building AI powered solutions modelled on real product backlogs and production standards used in the industry.

Learn from Practitioners Who Ship AI Systems

Participate in live, activity based sessions led by industry professionals & experts actively building AI driven products not just teaching theory.

Get Structured Career Acceleration Support

Prepare for modern tech roles with structured planning, portfolio reviews, mock interviews, launch day and personalised mentorship.

Portfolio Demonstrating AI Native Capability

Go beyond certificates. Graduate with production grade projects, documented workflows, and demonstrable AI integrated builds.

Stand Out with Verifiable Proof of Work

Show employers what you can build, not just what you've learned with mentor reviewed deliverables and execution backed credentials.

Program Structure at a Glance

AI Foundations (Weeks 1–4)

AI as collaborator mindset, workspace environment, system design, and architecture basics to setup and start work rapidly.

Coding with AI (Weeks 5–8)

Generate, verify, and review applications / services with AI while building tests and safe refactors.

Data & Documentation (Weeks 9–10)

Design data schemas and queries, and use AI to maintain living, accurate documentation as the project grows.

Quality & Performance (Weeks 11–14)

Automated testing, debugging, security checks, performance tuning, and release discipline.

Career Readiness (Weeks 15–16)

Portfolio polish, interview prep, mock interviews, and launch day presentation to hiring partners.

Duration

16 Weeks

Mode

Hybrid

Career Services

Assured Interviews*

Cursor
GitHub Copilot
Claude
16x Prompt
Qodo
OpenAI
CodeRabbit
Figma
Supabase
Vercel Sandbox
Gemini

This Fellowship Is For

  • Final-year students serious about building a career in AI

  • Early-career professionals (0–3 years) looking to build real depth

  • People willing to commit time, effort, and ownership to their work

This Fellowship Is Not For

  • Passive learners looking for recorded courses at leisure

  • Anyone expecting shortcuts, guarantees, or quick placements

  • People unwilling to invest sustained effort over several months

How the Application Works

Apply

Share your background and intent. This is a short, exploratory conversation.

Assessment

We assess alignment, expectations, and your ability to commit time and effort.

Selection

Selected applicants receive cohort details and onboarding information.

Cohort Onboarding

Begin the exclusive journey of FSA RAD fellowship with a clear plan and milestones.

Launch Your AI-Native Career With Leverage

Every FSA program includes structured career acceleration support designed to help you translate AI native capability into real interview outcomes and long-term career growth.

Launch Day Portfolio Showcase

Present and demonstrate your production-grade projects to invited hiring managers, mentors, and industry leaders.

Fast-Tracked Direct Interviews

Assured priority access to curated interview opportunities with hiring managers aligned to your specialization.

Lifetime Career Services Support

Ongoing mentorship, interview preparation, portfolio refinement, and career guidance — long after the fellowship ends.

How FSA is actually next gen ready?

In leading product companies:

  • Engineers work with AI inside their daily workflow

  • Systems are built under constraints

  • Delivery quality matters as much as speed

FS Academy mirrors that environment. You learn the way professionals grow inside top AI-driven teams by building, shipping, reviewing, and improving.

Video Courses
Generic Bootcamps
FS Academy
Real product workflow exposure
Limited
True AI-native development
Project-led, production-grade builds
Partial
Live practitioner mentorship
AI-driven software development workflows
Portfolio reviewed to industry standards
Limited
Launch Day project showcase
Fast-tracked hiring conversations
Lifetime career acceleration support
Limited
Built inside a real product company