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What you can do with AI Engineering Lab

A free, MIT licensed, self-paced 24-week AI engineering course built around one fictional freight company, with 43 runnable notebooks.

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zorost/AI-Engineering-Lab on GitHub

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What do you want to do?

3 use cases

  • Start the 24-week AI engineering course today

    Clone the repo, install requirements, and run Week 1 to generate the shared dataset.

    View prompt
    Clone https://github.com/zorost/AI-Engineering-Lab into <target-folder>, install requirements.txt with python -m pip, then open curriculum/week-01/README.md. Report the Week 1 setup steps and confirm the seeded dataset was generated under data/.

  • Build a retrieval corpus from the freight case study

    Use the Week 1 seeded freight data as the retrieval corpus for a RAG exercise.

    View prompt
    In the AI-Engineering-Lab repo, complete curriculum/week-01 to generate the freight dataset under data/, then build a small retrieval index over it for the Week 7 exercise. Return the retrieval query you tested, the metric you chose, and one error note.

  • Learn coding agent harnesses with Claude Code or Cursor

    Work through Phase 4 harness lessons using the tools the course names.

    View prompt
    In the AI-Engineering-Lab repo, read the Claude Code and Cursor guides under reference/skills and the Week 12 folder under curriculum/. Summarize the harness steps for the Week 12 exercise and list the one metric the exercise asks for.

How to use AI Engineering Lab

  1. Check you have what it needs: A computer you can install software on; Git installed, to run the clone command; Python installed, with pip available.
  2. Open zorost/AI-Engineering-Lab on GitHub and read the README and license.
  3. Run git clone https://github.com/zorost/AI-Engineering-Lab.git
  4. Run cd AI-Engineering-Lab
  5. Run python -m pip install -r requirements.txt
  6. Read START-HERE.md, then open curriculum/week-01 and follow its setup steps

These steps come from our top use case, Start the 24-week AI engineering course today, which also has a copy-paste agent prompt.

AI Engineering Lab alternatives · Best AI repos for Research

About this repo

  • Who it is forSoftware developers adding AI, analysts moving toward engineering, students, career changers, and technical founders who can install software and spend about ten hours a week.
  • Why it is hot
  • LanguageJupyter Notebook
  • Sourcegithub.com/zorost/AI-Engineering-Lab · Back to Hot repos

Requirements

  • A computer you can install software on
  • Git installed, to run the clone command
  • Python installed, with pip available
  • About ten hours a week and basic computer literacy
  • No prior Python, GPU, or paid API key is required
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Questions about AI Engineering Lab

What is AI Engineering Lab?

A free, MIT licensed, self-paced 24-week AI engineering course built around one fictional freight company, with 43 runnable notebooks. It is an open-source project on GitHub: https://github.com/zorost/AI-Engineering-Lab.

Who is AI Engineering Lab for?

Software developers adding AI, analysts moving toward engineering, students, career changers, and technical founders who can install software and spend about ten hours a week.

What can I do with AI Engineering Lab?

3 use cases so far, for example: Start the 24-week AI engineering course today; Build a retrieval corpus from the freight case study; Learn coding agent harnesses with Claude Code or Cursor. Each has steps and a copy-paste agent prompt.

What do I need to run AI Engineering Lab?

A computer you can install software on; Git installed, to run the clone command; Python installed, with pip available; About ten hours a week and basic computer literacy.

What are alternatives to AI Engineering Lab?

Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.

Is AI Engineering Lab safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.