The 8-Week Advanced AI Engineering Program
One agentic AI app. Shipped in Week One. Enriched every week with RAG, tools, agents, MCP, memory, guardrails and evaluation — built the way enterprise teams actually ship, with Claude, GitHub Copilot, Azure DevOps and AWS. Choose a morning or evening batch — same content, same schedule, different time of day.
By Week 8, You'll Have...
One deployed, live agentic app — a public URL on AWS
A Certificate of Completion + the full course codebase
All session recordings + lifetime community access
5 × 1:1 career sessions over the following 6 months
Make Sure This Is Your Program.
No Bootcamp completion is required, but this isn't a from-zero introduction either — here's the honest fit check.
You're a good fit if…
- You're comfortable writing and reading basic code, in any language
- You've used ChatGPT, Claude or similar tools and want to go from using AI to engineering with it
- You can commit to 16 live sessions over 8 weeks (Tuesday & Thursday), morning or evening batch, plus some time between sessions
Consider the Bootcamp first if…
- You've never written or run a line of code before
- You want a lighter, lower-cost introduction before committing to an 8 weeks build
- You'd rather build your first agent in 5 days than architect a production app over 8 weeks
Traditional Full-Stack Engineers Are 10x Slower — And It's Not a Skill Gap.
to onboard onto just one unfamiliar codebase
of a sprint lost to boilerplate, config and CI/CD debugging
test coverage and postmortems, under deadline pressure
None of this is a skill gap. It's toil the tooling never removed — and it's exactly what this program removes, phase by phase.
Every SDLC Phase, Fixed.
The job doesn't disappear. It moves from typing every line to deciding what's right — and verifying the AI got it right.
| SDLC Phase | Why It's 10x Slower | Fixed By |
|---|---|---|
| Requirements | Vague asks take days to become a workable spec | Claude turns a 2-line ask into a spec in minutes |
| Architecture | Analysis paralysis; decisions get lost, never written down | Claude proposes tradeoffs, documents the ADR on the spot |
| Development | Constant context-switching across the stack; hours lost to boilerplate | Copilot writes the boilerplate, fluent across the whole stack |
| Debugging | Reading someone else's codebase takes days just to onboard | Copilot Chat explains the repo, traces bugs in minutes |
| Testing | Thorough tests are the first thing dropped under deadline pressure | Copilot generates test suites, edge cases included |
| Code Review | Inconsistent reviews, queued behind a senior engineer's calendar | AI flags correctness & security issues before a human looks |
| Deployment | CI/CD and infrastructure-as-code is a specialty most never go deep on | Copilot drafts the pipeline, explains every failure line by line |
| Production Support | Hours burned correlating logs and traces by hand | AI triages traces, drafts the incident timeline to verify |
| Documentation | Docs go stale the moment the code changes | Docs generate and update alongside the code |
Two AI Engineers Work Alongside You.
Every phase of the SDLC gets an AI partner. You stay the one who decides.
Claude, via Claude Code
- Turns a 2-line ask into a spec
- Proposes architecture, writes the ADR
- Runs the first-pass code review
- Triages logs and traces in production
GitHub Copilot
- Writes the code, end to end
- Explains and debugs unfamiliar code
- Generates the test suite
- Drafts CI/CD pipelines and deploy configs
AI proposes. You approve. Every phase, every week.
The Same Six Steps, Every Week.
Loops every week — the same six steps, applied to that week's feature. Azure Boards tracks the work, Azure Pipelines runs it, AWS hosts it live.
One App. Eight Weeks. Shipped Early, Grown Every Phase.
One app, not five
One real agentic app, built end to end — not five disconnected demos.
Premium, real tools
The same models, frameworks and cloud a startup ships on today.
AI runs the SDLC, you run the judgment
The meta-skill that outlasts any one framework or model.
The Tools You'll Actually Use.
Claude Sonnet 5 / Opus
Frontier reasoning; GPT-5 & Gemini 2.5 Pro for comparison
GitHub Copilot
Writes, debugs, tests & drafts deploy configs, in the IDE
Claude Agent SDK + LangGraph
Agent loops and explicit workflow graphs
Angular + FastAPI + Streamlit
A real API layer behind a fast, focused UI
Qdrant / pgvector + Postgres
Production retrieval and long-term memory, one database
Custom MCP Server
Your app's own tools, callable by any MCP client
The Same Stack Real Companies Run.
The same enterprise ALM and cloud stack real companies run production on.
Llama Guard + Guardrails AI
Blocks PII leakage, prompt injection, off-topic misuse
promptfoo / DeepEval / Ragas
Golden-set regression, run as a release gate
Langfuse
Full traces turn "it's wrong" into a debuggable path
Azure Boards
Sprints and work items — a real enterprise backlog
Azure Repos + Pipelines
Git history and YAML pipelines Copilot drafts
AWS
The app deploys to real cloud infrastructure
Exactly What You'll Build, Every Week.
One app, growing up — no ambiguity about what ships when.
Foundations, Shipped Early
What You Build
- A deployed chat app on Claude Sonnet 5 (FastAPI + Streamlit)
- Reliable prompting: system prompts, structured output, caching
- A codebase-comprehension drill: debug a real unfamiliar repo with Copilot
- A hardened, tested v0.1 — not a demo, a real deployed baseline
AI-SDLC in Action
Knowledge: Production RAG
What You Build
- Chat grounded in the student's own documents, with citations
- A production vector store (Qdrant / pgvector) and a real ingestion pipeline
- A golden-set check on retrieval quality before it ships
AI-SDLC in Action
Action: Tools & Workflows
What You Build
- The app calls real tools and APIs, running multi-step workflows (LangGraph)
- 2–3 domain tools: search, a live API, a calculator or data tool
AI-SDLC in Action
Autonomy: Agents & MCP
What You Build
- A true agent loop: plan, act, observe
- A custom MCP server exposing the app's own tools
AI-SDLC in Action
Trust: Memory, Guardrails, Evaluation
What You Build
- Long-term memory, plus guardrails against PII leaks, injection & misuse
- An eval harness (golden set + LLM-as-judge) and Langfuse tracing
- A production-hardened v1.0, demoed live on Demo Day
AI-SDLC in Action
From v0.1 to v1.0 in Eight Weeks.
Deployed chat, live on AWS
+ RAG & citations
+ Tools & workflows
+ Agent & MCP
+ Memory, guardrails, eval — production
By Demo Day, it isn't five toy demos — it's one product that grew up, live on real infrastructure.
What Every Student Walks Away With.
"Can I build an agentic AI application myself?" By Week 8 — yes.
Support That Doesn't End at the Last Class.
A complete learning + support package built around the 8 weeks program.
3 Months
Dedicated course-scope support
Lifetime
Community access
5 × 30 min
1:1 career sessions over 6 months
All Sessions
Session recordings, yours to keep
Full Codebase
Complete course codebase
Certificate
Program completion certificate
5 career sessions can cover: career direction · resume · project positioning · mock interview · interview preparation
Learn From Someone Who's Actually Shipped This.
Dinesh Kushwaha, Founder
18 years architecting and delivering enterprise-scale platforms, now applying that same real-world discipline — architecture decisions, code review, CI/CD, production support — to how AI-assisted engineering should actually be taught. Read the full story.
Two Independent Ways to Start.
Not a prerequisite chain — pick whichever matches where you are today. No Bootcamp completion is required for this program.
Start With the 5-Day Bootcamp
A lighter, more affordable introduction — five evening sessions to your first working AI agent, no prior experience needed.
Explore the BootcampJoin the Advanced AI Engineering Program
Comfortable with the basics and ready to build and deploy one real production app over 8 weeks? This is your program.
Enroll NowBefore You Enroll.
Ready to Build the Way Enterprise AI Teams Actually Ship?
Seats are limited to keep every architecture discussion and every build session hands-on.
Cohort Details
- Cohort Starts
- 5 October 2026
- Schedule
- Tuesday & Thursday
- Choose Your Batch
- 🌅 Morning · 6:00 AM – 7:30 AM 🌙 Evening · 8:00 PM – 9:30 PM
- Session Length
- 1.5 hrs/session
- Duration
- 16 live sessions + 24 practice & assignment days over 8 weeks (24 contact hours)
- Practice & Assignments
- 24 self-paced sessions between live classes
- Seats
- 10
- Format
- Live Online via Zoom
Seats are limited to keep every architecture discussion and build session hands-on.
You save ₹10,000 (40%) — offer applied automatically
🎓 Bootcamp students & early joiners — chat with us, there may be more on top of the current offer.
Secure payment via Razorpay. You'll be redirected to complete registration.
Questions first? Chat on WhatsApp or get in touch.