AI-Native Full-Stack Engineer — Build & Ship Real GenAI Products
Our flagship 8-month program. Master the durable full-stack fundamentals AND become the engineer who commands AI tools, ships production LLM apps (RAG, agents, evals), and can debug what AI writes.
Built for people like you.
Career switchers and fresh graduates targeting AI-native developer roles
Developers who want to build with GenAI (RAG, agents, evals), not be replaced by it
Ambitious learners aiming for GenAI Engineer / AI Application Developer roles
Your learning path.
Every course is a step-by-step ladder — start small, build confidence, and upgrade as your skills grow.
AI-Native Accelerator
FlagshipOwn the fundamentals. Command the AI. Ship real products.
“I can build, evaluate, and deploy production GenAI products — and debug the code AI writes.”
Total fees
₹1,20,000
Early bird: ₹90,000
EMI available
Duration
8 months (34 weeks)
Intensity
Full-time / Intensive
Projects
6+ live
Certificate
Verified
Placement assistance included
AI mock interviews, alumni connections, and resume preparation. Plus real product experience with CodeLadder Labs — internal tools, code reviews, and a working-professional resume.
- Founding-batch early-bird pricing for the first cohort.
- Short, no-cost EMI (6 × ₹20,000) — no long-tenure loans.
- Includes CodeLadder Labs internship and lifetime community access.
- Student LLM API usage is capped/subsidised in labs to control cost.
What you'll learn
AI-Native Accelerator — module by module
Select any module to see exactly what it covers.
- Phase 1+
Durable Programming & Web Fundamentals
- TypeScript/JS core: types, async/await, modules
- React: components, state, hooks, data fetching, forms
- HTTP lifecycle, REST semantics, status codes
- Git/GitHub: branches, PRs, reading diffs; DSA block 1
- Phase 2+
Backend, Data & System Foundations
- Phase 3+
AI-Assisted Development Workflow
- Phase 4+
LLM Application Foundations
- Phase 5+
RAG Engineering
- Phase 6+
Agents, Tool-Calling & MCP
- Phase 7+
Evals, Guardrails & LLMOps
- Phase 8+
Ship & Operate — Deploy, Cost & Latency
- Phase 9+
Capstone, Portfolio & Career
Projects you'll build
Production RAG Application
Doc ingestion + chunking, hybrid retrieval with a reranker, pgvector/Pinecone, behind auth — with a golden dataset and a retrieval + faithfulness eval suite in the repo.
Tool-Using AI Agent
Multi-step agent with function calling, memory, an MCP server integration, failure recovery, and a trajectory-evaluation harness.
Eval & Guardrails Pipeline
Golden dataset, LLM-as-judge automation, and regression tests wired into CI so prompt/model changes are gated on eval scores.
Full-Stack AI Product (Capstone)
React/TS + Node + Postgres + real auth + an integrated LLM feature, Dockerized and deployed via CI/CD.
LLMOps & Observability Layer
Request tracing, token-cost & latency dashboards, caching + model routing, and prompt-injection guardrails — with a written cost/latency budget.
CodeLadder Labs AI Feature
Ship a real AI feature inside a live CodeLadder product in production-style sprints, reviewed via real PRs. Runs concurrently with Phases 7–9.
Placement support
Modern interview prep: 'review this AI-generated PR', AI-app system design, DSA screens
AI-assisted + alumni mock interviews (technical & HR)
GitHub & portfolio optimisation: deployed apps with eval results and write-ups
CodeLadder Labs internal AI-product experience to discuss in interviews
Referrals & interview opportunities based on readiness and performance
Placement Support ≠ Guaranteed Job. We provide training, real projects, mocks, and interview opportunities; selection depends on your performance. Past record is no guarantee of future prospects.
How to enroll
- 1
Apply / Enquire
Book a free counselling call via WhatsApp or Apply Now.
- 2
Screening Call
10-15 min mentor call to check fit and goals.
- 3
Reserve Seat
Founding-batch pricing; pay via Razorpay/Bank; short no-cost EMI available.
- 4
Orientation
Tooling setup (Cursor/Claude Code, Git, Docker) and cohort onboarding.
- 5
Start Building
Ship from week 1 — fundamentals first, AI-native from Phase 3.
Common questions
Do I need prior coding experience?+
Basic computer familiarity is enough — our screening call checks fit. The first 12 weeks build durable fundamentals from scratch, but expect an intensive pace; we provide a self-paced prep module before Week 1 if you need a runway.
Will AI replace the developer job I'm training for?+
This program trains you to be the engineer who commands and reviews AI — building production RAG, agents, and evals, and debugging what AI writes. That is exactly the role that is in shortage right now, not the one being automated.
What will I be able to build by the end?+
A deployed, authenticated, evaluated full-stack AI product, plus a portfolio of a production RAG app, a tool-using agent, and an eval/guardrails pipeline — all with public GitHub repos.
Is a job guaranteed?+
No — no institute can ethically guarantee a job. We provide training, real projects, mock interviews, and interview opportunities; clearing them is up to you.