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Running LLMs in Production

Running LLMs in Production, a hands-on class in How LLMs Actually Work. A class in How LLMs Actually Work. Free to start, no card.

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Curated lessons in this class

Build an AI Agent Loop from Scratch

python · 6 steps · free

  1. Understand the Agent State
  2. Create a Simple LLM Node
  3. Create a Tool Node
  4. Build the Agent Loop
  5. Add a Routing Decision
  6. Track Tool Usage in State

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How CodeTrain teaches this

No videos and no multiple-choice quiz at the end. Each lesson is a handful of small steps in a real editor. You type the code yourself, it runs, and the tutor reviews what you actually wrote. It will not hand you the answer, and the step doesn't advance until your code passes. What you get at the end is a record of which steps you wrote unaided, not a completion percentage.

These curated courses are the starting point, not the product

Everything in this catalog is a curated course we wrote by hand. They exist so there is something to start on. What CodeTrain actually does is build a lesson on demand: name any topic you want to understand and it writes one for you on the spot, or paste any public repository and it teaches you that codebase from the code that is really in it. You are not limited to the list below, and most people stop using it within a session or two.

The rest of How LLMs Actually Work

Neural-net foundationsTokens & embeddingsThe Transformer blockTraining, generation & fine-tuning
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