Pregraph

Roles / Data and machine learning

AI / LLM engineer

Builds products on top of large language models. Mostly software engineering, plus retrieval, prompting and careful evaluation.

Draft. This list is our judgement and hasn’t been checked against real job postings yet. How roles get checked

How far

11 stops to go, about 185 hours of study.

Open a stop to see the book, the video course and the practice for it. Tick its circle when you've finished.

  1. 40 h

    Programming. Ready to start.

  2. 35 h

    Systems. After Programming in Python.

  3. 8 h

    Systems. After Computer networks.

  4. 15 h

    Machine learning. After Programming in Python.

  5. 10 h

    Machine learning. After How large language models work.

  6. 10 h

    Machine learning. After How large language models work and The web and HTTP.

  7. 15 h

    Machine learning. After Embeddings and vector search and Prompting and LLM APIs.

  8. 8 h

    Machine learning. After Prompting and LLM APIs.

  9. 8 h

    Web development. After The web and HTTP.

  10. Project30 h

    Machine learning. After Retrieval-augmented generation and Evaluating LLM systems.

  11. 6 h

    Programming. Ready to start.

That's everything for to get hired. Switch "How far" to see what comes after.