Learning paths · Skills · Intermediate

AI engineering: building with large language models

How to put a language model inside real software: what it actually computes, how to ask for output your code can trust, how to give it tools and documents, how to test it, and how to keep it fast, affordable and safe.

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  1. 01How models behaveTokens, sampling, prompts, shapes0/4
  2. 02Models in your systemTools, documents, streams, budgets0/4
  3. 03Shipping with confidenceTests, agents, attacks, trade-offs0/4
  4. 04Next: system designSame ideas, at service scale

The examples are vendor-neutral: API code uses placeholder names (llm, MODEL) rather than a real SDK, and the Try it blocks use small fake models so they run in your browser with no network. Provider documentation is linked where a detail differs between vendors.

Where this path leads