next batch · waitlist open

Crack your first
internship or tech job.

Live small-group mentorship from a working AI/ML Engineer: Python, DSA, real projects and mock interviews. Built for engineering students, around your college timetable.

Join the waitlist → Read student reviews
  • Evening & weekend classes
  • Live, and recorded too
  • Your code reviewed personally
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=python,dsa,projects
✓ live classes   ✓ real projects   ✓ mock interviews
$
Taught live at AISSMS IOIT & MIT ADT ★ 4.6/5 from 80 students 160+ on the waitlist
// next batch

Python to Placement — 6 weeks

Python → DSA basics → 2 resume projects (including a small AI app) → resume, GitHub and mock interviews. Dates to be announced. Join the waitlist to lock in the early-bird founding price of ₹2,999 (regular ₹4,999).

Why join the waitlist now

Seats are small-group and taught live by a working AI/ML Engineer — not a TA, not a recorded video. The waitlist gets the founding price and first pick of seats.

— 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 small-group

  • 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
  • Mock interviews with scored feedback
  • 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
Included, scored
Pace
No structure
Self-paced, easy to drop off
Live small batch, evenings & weekends
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 long-term roadmap

The batch covers the start: Python, DSA and your first projects. This is where the path leads if you keep going — software, AI and production engineering taught together, with AI coding tools as your daily driver. Each stage ships something real.

Download syllabus (PDF) →
#s01 AI-native developer setup Stage 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
#s02 JS→TS deep, DSA I Stage 2
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
#s03 Web + frontend engineering Stage 3
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
#s04 Backend + PostgreSQL Stage 4
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
#s05 Testing, Docker, cloud Stage 5
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
#s06 RAG + agents Stage 6
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
#s07 AI-native software engineering Stage 7
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
#s08 System design + hiring simulation Stage 8
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 16PrismaPostgresWebhooks
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 the core curriculum, ship one capstone, clear 60/150 DSA problems, resume v2 done.

›
stage 2

Mock interviews

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.

Just got into CS/IT engineering? — Instagram post What you'll learn — curriculum overview post Real student review post
Follow on Instagram →
// faq

Before you apply

Is this beginner-friendly?

Yes. We start from fundamentals and move into real problems and projects fast. Basic programming helps but isn't required.

Will classes clash with college?

No. Classes run on weekday evenings (8 PM) and weekend mornings, and every class is recorded in case you miss one. Batches are planned around SPPU exam season.

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 — you get one after you present your project demo.

What if it's not working for me?

Full refund if it's not working for you after week 1. Classes run live on a set schedule, but what we cover adjusts to where you actually are.

Ready to start?

Join the waitlist for the next batch. Questions? Message me on WhatsApp.

Message on WhatsApp → Join the waitlist
no spam · evening & weekend classes · online, for Pune engineering students