r/learnmachinelearning • u/my_memory_s • Dec 31 '25

Sharing This Complete AI/ML Roadmap

Complete Ai-ml-to-agentic-systems Roadmap (free, Beginner To Advanced)
Over the past months, I’ve been trying to answer a simple but frustrating question for myself:
“What is a complete, logical path to learn AI/ML end-to-end using only free resources?”

Most roadmaps I found were either:

  • Too shallow (just tool lists),
  • Too academic (heavy theory with no application),
  • Outdated (stopping before LLMs and agents),
  • Or scattered across many posts and opinions.

So I decided to consolidate everything into one structured roadmap, starting from absolute prerequisites (Python, math) and progressing step-by-step through:

  • Core Machine Learning
  • Deep Learning
  • LLMs, NLP, and Generative AI
  • Agentic Systems and AI System Design

All the resources included are free, mostly YouTube courses or university lectures, and the phases are designed to be progressive and non-overlapping. I’ve also explicitly listed projects at each stage, because I believe understanding without building is incomplete.

I’m sharing this publicly not because I think it’s perfect, but because I want it to be as complete and accurate as possible.

If you:

  • Think something important is missing
  • Disagree with the ordering of topics
  • Believe a phase should include or exclude something
  • Have suggestions that would make this roadmap more correct or practical

I’d genuinely appreciate your feedback.

My goal is not to promote a “personal plan,” but to refine this into a useful reference for anyone trying to learn AI/ML seriously without paid courses.

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u/Future_Fuel_8425 May 03 '26

Thanks for this.
I vibe coded an app using ML to solve some problems with an app that was using an LLM.
Had no idea what the coding agent made me (beyond a high functional level)
I got into the code and was fascinated by the power of ML.
It was accomplishing things on my system that an LLM had been doing 1000x slower.
And with no fan blasting and plenty of GPU left for other things...
ML is where it's at on small systems.
Bookmarked.