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How to start the 24-week AI engineering course today with AI Engineering Lab

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

  • Top pick
  • Research
  • Beginner
  • 30 minutes
  • From the README
  • Any agent

Who it is forA developer or career changer who wants a structured path into AI engineering and has no course yet, triggered by wanting to start without paying or signing up.

The problemLearning AI engineering from scattered tutorials leaves gaps, and many paid courses require a signup or a paid API key.

The outcomeThe repo is cloned, dependencies are installed, Week 1 is open, and the seeded dataset that later weeks reuse has been generated.

What you need first

  • 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

Steps

  1. Run git clone https://github.com/zorost/AI-Engineering-Lab.git
  2. Run cd AI-Engineering-Lab
  3. Run python -m pip install -r requirements.txt
  4. Read START-HERE.md, then open curriculum/week-01 and follow its setup steps
  5. Open the tracker in curriculum/tracking and tick the Monday row when Week 1 is done

Prompt for your agent

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/.

Caveat. The README says the GPU is optional until Week 8, but the setup steps and the exact contents of Week 1 are in the week folder, not in the README.

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