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◆ WORK EXPERIENCEAdvanced → Job-Ready⏱ 8 weeks · 1-2 hrs/day (more during the agent + capstone weeks)

Ship real, evaluated AI systems. Then I get you hired.

8 weeks of real AI work, then a job. You build RAG systems, tool-calling agents, and a deployed agentic app - and every project ships with its own eval harness, the thing that separates engineers from demo-builders. The deal: you ship the work, I rewrite your resume and run the job-hunt with you using my handbook - until you land an AI/LLM engineer role.

Anuj: sat on hiring panels at 5 product cosEvery project ships with its own eval harnessAI-engineer talent is genuinely scarce

A real reply from Anuj on WhatsApp - no sales team, no spam. Not sure it's for you? Ask first.

Pradeep — non-tech, 4-yr gap — is now a Data Analyst. Akshobya took his pick of 3 offers. Our first two finishers. See their stories →

◆ I PERSONALLY COMMIT TO TWO THINGS

1A resume recruiters actually open. I rewrite it with you, line by line, using your background + the 5 artifacts you ship.
2A job - an AI/LLM engineer role specifically. I work the post-program hunt with you using my full handbook, until you land.

Effort on your side is the only non-negotiable.

◷

8 weeks

1-2 hrs/day (more during the agent + capstone weeks)

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Manager-led

Firm weekly deadlines

◆

Weekly 30-min 1:1

Direct review with Anuj

🤝

Pause-friendly

Life happens - just communicate

Why this price?

Most GenAI courses sell prompt tips and a toy chatbot. This is the engineering job - evaluated, deployed systems - with real review and real deadlines. Priced for one instructor, not a cohort mill.

Only 8 of 20 review seats left

I cap active students so everyone gets a 24h review + a weekly 1:1. Enrolment is rolling — start the day you join.

₹63,000₹6,999

One payment · everything below, for life

≈ ₹125/day · about 10% of your first month's pay once hired

WHAT YOU GET

8-week mentor-led AI/LLM build capstone₹28,000
Weekly 1:1 review calls with Anuj (8 × 30 min)₹14,000
Personal resume rewrite (by a hiring-panel member)₹7,000
Job-hunting handbook + coaching until you land₹9,000
24h feedback on every submission + private Discord₹5,000
Certificate + lifetime accessIncluded

Total value₹63,000

You pay today₹6,999

Pradeep & Akshobya — our first finishers

See their stories

●Manager-led

◉Weekly 1:1s

◈One-time payment

✓ THIS IS FOR YOU IF

Engineers / CS grads comfortable with Python who want into AI/LLM roles
People tired of 'ChatGPT-wrapper' tutorials who want to build evaluated, deployed systems
Learners who can commit 1-2 hrs/day for the full 8 weeks

✗ NOT FOR YOU IF

People who've never written Python - this is build-heavy from week one
Anyone wanting to watch videos without shipping working systems
People expecting prompt-engineering tips, not real engineering

Comfortable with Python? That's the only prerequisite - no prior LLM/AI experience needed. Unsure? Message me before you enroll.

YOUR INSTRUCTOR & REVIEWER

Anuj Saini

AI / LLM Engineering · 6+ years in industry

JPMCPassion GamingSaras AnalyticsOneCodeUltrahuman

◆ WHY I CAN PROMISE A JOB

I've sat on hiring panels at five product companies and I build AI systems hands-on. Today, 'I called the OpenAI API' reads as a negative signal - 'here's my eval report' is the green flag. We drill exactly that.

I review every submission personally through our Discord pipeline - you'll get feedback on your work, not a rubber-stamp.

◆ FIRST RESULTS

Where the first students landed.

The first students through the program. Real names, real outcomes, shown with their permission.

Pradeep Saini

Data Analyst at Chosen Store

Placed at Chosen Store

Non-tech background, BA in 2022, then a four-year gap. Learnt data from scratch in the program and landed a full-time role.

Akshobya

Data Analyst track

Earned three offers plus an internship

Had multiple offers on the table and chose the internship — the path he actually wanted.

See all results

This isn't self-paced. You have a manager.

After enrolling, you join a private Discord for daily stand-ups, get a 30-minute 1:1 call with Anuj every week, and every submission you ship gets a real written review within 24 hours. Miss a deadline? You'll hear about it. Ghost for 5+ days? We loop in the accountability person you named at enrollment.

Daily stand-ups in Discord

Weekly 30-min 1:1 review call

24h feedback on every submission

Resume review & rewrite help at the end

Accountability person escalation if you ghost - read how this works ↓

The accountability layer

You'll finish what you started. Or someone you trust will know.

The biggest reason students drop a bootcamp isn't that the material's hard - it's that no one notices when they stop. We fixed that. At enrollment, you name one person you trust. They never hear from us - unless you go silent.

How it works

01

You nominate one person

Parent, sibling, manager, mentor, friend - your call. We collect their phone, name, and how they know you. One person, one time, at enrollment.

02

They never hear from us

Default state: silent. We don't ping them weekly, send them updates, or share your scores. Their existence in your enrollment is the deterrent - using it is the last resort.

03

If you ghost 5+ days, we reach out

No daily-stand-up, no submission, no Discord ping, no reply to ours - for five full days. Then we send them a short, respectful WhatsApp: 'Hey, checking in. Anuj hasn't been around. Everything okay?' That's it.

04

Most never need step 3

Knowing the call could happen is enough. Students who'd otherwise quietly drift away stay engaged. The point isn't to embarrass you - it's to make sure you have skin in the game.

One number, one time

Collected on the activation page after payment. You can update it from your profile anytime.

Private by default

We never share their details, never show them publicly, and never message them unless you ghost.

Why this is on the marketing page

Because it works. We'd rather tell you up front than surprise you later - and we'd rather have students who think this is a feature, not a flaw.

INSIDE THE PROGRAM

A peek at what you'll build.

No toy chatbots. You build evaluated, deployed systems - and every one ships with the eval harness that proves it works.

A RAG eval report: retrieval precision/recall + faithfulness, scored across chunking × embedding choices

A tool-calling agent with retries, fallbacks, and full trace logging

A deployed agentic app with auth, rate limits, a monitoring dashboard, and its own golden benchmark

Illustrative - your capstone also ships with a written failure post-mortem.

WHAT A REVIEW LOOKS LIKE

Direct, specific, actionable.

Every submission gets a written review like this within 24 hours. No rubrics, no rubber-stamps - just what to fix and why.

Anuj Saini

Reviewing · RAG eval report

Good - you actually built an eval set, which already puts you ahead. Three notes: 1. Retrieval precision@5 is 0.62; your faithfulness score is high only because the model abstains a lot. Report both, and show the trade-off - don't hide the abstention rate. 2. You compared 2 chunking strategies but held the embedding model fixed. Run the full 2×2 (chunking × embedding) so the win is attributable. Right now you can't say which change helped. 3. Your golden set is 12 questions - too small to trust. Get it to 30+ and include 5 adversarial 'not in the docs' cases to catch hallucination. Re-run the 2×2, widen the golden set, and write up which config you'd ship and why. Tag me when it's up.

Illustrative excerpt. Real reviews are tailored to your specific submission.

☞

If you're a working engineer

You'll move fast through Weeks 1-2 (APIs, structured output). The real value is Weeks 4-8: RAG with real evals, LangGraph agents with observability, and a deployed multi-agent app with its own benchmark. That eval-first portfolio is what separates you from the wave of 'ChatGPT-wrapper' resumes.

◆ THE DEAL - IN WRITING

Do the work. I'll get you hired.

Two non-negotiables. You ship the daily work over 4-8 weeks. I rewrite your resume with you and work the job-hunt with you using my handbook - until you land an AI/LLM engineer role.

Follow the plan seriously - daily applications, resume rewrite, mock interviews when you ask - and you'll get there. The playbook is proven, not theory.

01 · WHILE YOU'RE IN THE PROGRAM

Your side: ship the work

Daily stand-ups, weekly 1:1s, deployed RAG + agent systems, each with its own eval harness. The non-negotiable.

02 · WHEN YOU FINISH

My side, part 1: the resume

I personally rewrite your resume with you - line by line - using your background + the work you shipped. Recruiters actually open it.

03 · AFTER THE PROGRAM

My side, part 2: the job

Daily application targets, my full handbook, mock interviews on request. I don't disappear when the curriculum ends - I work the hunt with you until you land.

◆ THE JOB WE'RE AIMING AT

AI / LLM engineer - often remote and global, where talent is genuinely scarce:

AI-first startupsProduct cos shipping AIYC companiesRemote / global teams+ similar

Handbook included·Resume rewrite·Post-program coaching

◆ THINK INVESTMENT, NOT EXPENSE

Entry-level AI/LLM engineer pay in India now starts around ₹8-12 LPA (≈ ₹70,000+/month). The day you get hired, this program costs about 10% of your first month's pay.

You earn ₹6,999 back in your first 3.0 days on the job.

₹6,999₹14,000

One-time payment · Weekly 1:1 with Anuj · Real deadlines

◆ COMMON QUESTIONS

Before you enroll.

Almost everything. This isn't tips for talking to ChatGPT - it's the engineering job. You build RAG systems, tool-calling agents, and a deployed multi-agent app, and every single project ships with an eval harness. Anyone can wire up a RAG demo; almost nobody can tell you its retrieval precision or catch a regression before it ships. That gap is exactly what gets people hired - and it's what we drill.

8 weeks from now, you could be interviewing.

Start the day you enroll - no waitlist. One payment, full access until you finish. Do the work and I run the hunt with you until you land. Not sure yet? Drop your details and ask me first.