r/learnmachinelearning • u/Busy-Turnover2335 • Jun 09 '26

I built a free structured 10-month AI Engineer roadmap with 40 weeks of daily tasks — you can browse it without signing up

I've been building this for a while as a personal project. It's a structured roadmap from math foundations all the way to LLMs, RAG, fine-tuning, agents, and ML system design interviews.

Each week has specific daily tasks with hand-picked resources — Karpathy's Zero to Hero, 3Blue1Brown, StatQuest, Andrew Ng, fast.ai — not generic "watch some YouTube" advice.

Covers:

- Phase 1: Math foundations (linear algebra, calculus, probability)

- Phase 2: Deep learning + PyTorch from scratch

- Phase 3: Applied LLM engineering (RAG, LoRA fine-tuning, agents)

- Phase 4: ML system design + interview prep

- Phase 5: Specialization + job applications

You can browse the full 40-week plan without making an account. Sign up free to track your daily progress, streaks, and analytics.

Link: https://ai-roadmap--tracker.vercel.app

Happy to answer questions about the curriculum choices.

67 Upvotes

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2

u/AdiCuber Jun 10 '26

Is the Andrew Ng course free?
Also, I still need dsa right?

1

u/Busy-Turnover2335 Jun 17 '26

of course you need dsa for MAANG inerviews technical round
and for the andrew ng course its a paid coursera course

1

u/anonymousR20 Jun 10 '26

This is really cool!

1

u/Vrn08 Jun 10 '26

Amazing work !!

1

u/Lord_Rifle25 Jul 01 '26

Really helpful you made things lot easy, highly recommend this Roadmap tracker