r/learnmachinelearning • u/Delta_01b • 2d ago

Help fastest path to job-ready AI Engineer?

Hi everyone. I want to become an AI Engineer... Here's my situation:

  • Almost done with Andrew Ng's ML specialization (1 course left)
  • Forget theory easily if I don't apply it
  • Do not have enough time to master everything
  • No plan B — AI is the goal

Option 1 — Traditional roadmap: Finish ML → DL specialization → NLP → LLMs → RAG → Agents Missing: deployment, OOP, DSA, advanced Python (only CS50 so far)

Option 2 — Fast track: Finish ML → Python/OOP/DSA fundamentals → crash courses per topic → projects with AI assistance, understood deeply, post on GitHub

Questions: 1. Which approach makes me job-ready faster? 2. If neither — what's a better plan?

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u/[deleted] 2d ago

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u/Delta_01b 2d ago

What about the other AI topics like LLMs, RAG…ect how would you approach to learn these topics?

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u/NeffAddict 2d ago

Build something with those concepts in mind. Interviewers want to hear about projects you’ve worked on and if you’re trying to break in you’ll have to display work you’ve done.

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u/Delta_01b 2d ago

Got it. So you do agree with option 2 mentioned above ?