accepting new batch · 2 seats mentored personally

Turn beginners into
industry-ready engineers.

Small-group mentorship in Full-Stack & GenAI, taught by a working AI/ML Engineer. Real projects, production code, weekly mock interviews — not another recorded course.

This is small-group mentorship — the call is how we figure out if it's a fit. Prefer to apply first? Join the waitlist and I'll message you.
  • Evening & weekend batches
  • Live sessions, recorded too
  • Mentor-reviewed code, not auto-graded
mentor@pritam ~ %
$ whoami
Pritam Kamble — AI/ML Engineer
$ cat mission.txt
Build engineers who ship, not just students who finish courses.
$ ./teach --format=small-group --track=fullstack,genai
live mentoring   real projects   mock interviews
$
// join the waitlist

Apply for a mentored seat

I mentor a small number of people at a time, personally. Applying puts you in the queue — referring friends moves you up it.

Why it's worth skipping ahead

Every seat is small-group mentorship from someone actually working as an AI/ML Engineer — not a TA, not a recorded video. Real, live teaching doesn't scale infinitely, which is exactly why getting in early matters.

 people on the waitlist right now

Refer 2 friends who apply through your link and skip to the front of the queue — plus a free 15-min priority call, no waiting.

+91
Something went wrong — try again, or message on WhatsApp instead.
No spam. Used only to reach you about your application. Privacy policy.
you're on the list

You're applicant in line.

What happens next

1. I personally message you on WhatsApp, usually within 24 hours, to set up a quick fit call.

2. On that call we figure out your track and start date — no obligation either way.

Download the syllabus (PDF) →

Share your link below — every friend who applies through it moves you up the queue. Refer 2 to skip to the front and unlock a free 15-min priority call.

Share on WhatsApp →
// why this, not another course

Built for people who need a job, not a certificate

Students choose this over recorded courses for the accountability, the flexible hours around college or work, and outcomes tied to actual hiring.

Career-focused 1:1

  • Interview prep matched to current hiring bar
  • Resume & LinkedIn rewritten for recruiters
  • Referrals when your portfolio is ready

Flexible timing async-friendly

  • Evening & weekend sessions
  • Built around college or your day job
  • Direct WhatsApp access for quick unblocks

Placement-ready outcome

  • Portfolio projects recruiters actually ask about
  • Weekly mocks with a scored feedback rubric
  • A capstone demo ready by the end

How this compares

Self-study
Recorded course
This program
Feedback on your code
None
Auto-graded, if any
Reviewed by the mentor
Mock interviews
Self-practice
Rarely included
Weekly, scored
Pace
No structure
Fixed cohort schedule
Small groups, around your hours
Who's teaching
Pre-recorded video
A working engineer, live
What you ship
Tutorials followed
Course exercises
Deployed, portfolio-ready apps
// git log --oneline --all

The 24-week roadmap

Software engineering, AI engineering, and production engineering — taught together, not as separate electives. AI coding tools are your daily driver from week 1, not a topic you get to in week 20. Every week ships something real. JS/TS-first (Next.js + LangGraph) — not a Python/ML research track.

Download syllabus (PDF) →
#w01 AI-native developer setup week 1
Git/terminal, Cursor + Claude Code as your daily driver, prompting for code, AI-output verification mindset — not "AI writes it, I trust it."
+first PR merged · unfamiliar repo explained end-to-end
#w02-04 JS→TS deep, DSA I weeks 2–4
Closures, event loop, async/await under the hood, TypeScript generics + type-safe APIs, problem-solving depth over DSA breadth: hashmaps, two pointers, sliding window, recursion.
+30 problems solved · typed API client shipped
#w05-08 Web + frontend engineering weeks 5–8
HTTP/JWT/cookies/CORS, React hooks, Next.js App Router + server actions, production build: multi-user SaaS dashboard with auth, RBAC, search, pagination.
+SaaS dashboard shipped · auth + RBAC live
#w09-12 Backend + PostgreSQL weeks 9–12
Node internals, NestJS (DI, guards, interceptors), PostgreSQL as the primary datastore — relational modeling, indexes, transactions, query plans — plus Redis, queues, rate limiting.
+production API live · Redis cache + queue
#w13-15 Testing, Docker, cloud weeks 13–15
Unit/integration/E2E testing — moved ahead of deployment, not bolted on at the end. Docker + GitHub Actions CI/CD. AWS (S3, RDS, Lambda, IAM) deployment architecture, self-deployed.
+green CI pipeline · self-deployed to AWS
#w16-19 RAG + agents weeks 16–19
LLM fundamentals (tokens, structured output, cost/latency), RAG with pgvector, advanced RAG (hybrid retrieval, reranking, query rewriting, retrieval evaluation), LangGraph agents — and when not to use one.
+RAG eval dashboard · agent workflow shipped
#w20-21 AI-native software engineering weeks 20–21
Supervising AI coding agents on a real repo — task decomposition, code review, tests, security — the skill is reviewing what AI built, not generating it. Plus LLM evaluation, golden datasets, tracing, regression testing.
+evaluation harness · agent-reviewed PRs
#w22-24 System design + hiring simulation weeks 22–24
Load balancing, caching, DB scaling, capstone deployed live, then interview-day practice covering every stage real companies actually run: DSA, JS/TS, SQL, backend, React, AI/GenAI, system design, project defense ("show me a bug AI introduced"), HR.
+capstone live · placement pipeline active
// portfolio recruiters actually check

What you'll have shipped

GitHub repos, live demos, and case-study write-ups — the three things that move you past the first resume screen.

01

Next.js e-commerce store

Full-stack shop with sandbox payments, product catalog, cart, orders, and an admin dashboard.

Next.js 15PrismaPostgresWebhooks
02

AI codebase analyst

Point it at a GitHub repo and ask "where's auth handled" or "what breaks on payment failure" — get cited answers and an architecture diagram, not another PDF chatbot.

LangGraphEmbeddingsGitHub APIpgvector
03

URL shortener + analytics

Rate-limited API with Redis caching, click analytics, and QR generation.

NestJSRedisPostgres
04

DevOps pipeline

Dockerized microservice deployed through GitHub Actions to AWS.

DockerCI/CDAWS
// build → test → deploy, applied to your career

The placement pipeline

How you actually get hired, one stage at a time.

stage 1

Milestones

Finish core weeks, ship one capstone, clear 60/150 DSA problems, resume v2 done.

stage 2

Mock interviews

Weekly DSA, project, and HR mocks. Score 7/10+ to unlock referrals.

stage 3

Referrals & drives

Targeted referrals when you're ready, plus a curated off-campus drive list.

stage 4

Apply & track

Ten applications a week with an ATS-ready resume, outcomes tracked together.

No one can promise a job — this pipeline maximizes your odds if you consistently hit the milestones. Strong performers get referral opportunities shared directly.

// follow along

See it before you join

Real posts from @pritam.mentor — curriculum, reviews, and what a session actually looks like.

Follow on Instagram →
// beyond the waitlist

A portal for candidates and employers

Once you're in the program, track your own progress and apply to real roles. Employers get a direct line to a vetted candidate pool.

Student portal

Log your weekly progress, DSA count, and mock scores. Browse and apply to jobs posted directly by employers.

Browse open roles →

Public openings are shareable. Invited candidates apply from the portal — join the waitlist above to get in.

Employer portal

Post openings and browse candidate profiles — track, level, weeks completed, mock scores, and resumes, all in one place.

Employer login →
// faq

Before you apply

Is this beginner-friendly?

Yes. We start from fundamentals and accelerate into projects fast. Prior basics help but aren't required.

What do I need to get started?

A laptop with 8GB+ RAM, stable internet, VS Code, and a GitHub account.

Do I get recordings of live sessions?

Yes — every live session is recorded, plus you get notes and assignments to work through async.

How do referrals actually work?

Once you hit milestone scores across projects and mocks, relevant referrals and drive links get shared directly with you.

Is there a certificate?

Yes, on completing the program and presenting your capstone demo.

What if I fall behind or it's not working out for me?

Sessions run live in a small group on a set schedule, but what we cover adjusts to where you're actually at — that's different from a rigid, one-size-fits-all curriculum. But if you commit to the weekly cadence and you're still not shipping real, working code by week 3, we sit down and fix the plan together, or you walk — no hard feelings. This only works if it works for you.

Ready to start shipping?

If you commit to the weekly cadence and you're not shipping real, working code by week 3, we sit down and fix the plan together — or you walk, no hard feelings. This only works if it works for you.

Book a free call to see if it's a fit, or fill the form to formally join the queue — either way you'll hear back fast.

avg. reply ~15 min · no spam · flexible timings for working learners