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AI and machine learning

Building LLM Applications

The planned outline of 15 modules. Lessons are written, run and reviewed before they are published.

Coming soon 15 modules

Coming soon. This track is being written. Below is its planned outline: a lesson appears here once its examples have been run and its technical review is signed off.

Before this track

Planned outline

  1. Module 1

    Start here: LLM features and a zero-cost workbench

    Coming soon
  2. Module 2

    Model APIs in practice: tokens, state, errors and portability

    Coming soon
  3. Module 3

    Prompts as code

    Coming soon
  4. Module 4

    Structured output: JSON, schemas and grammars

    Coming soon
  5. Module 5

    Streaming, chat interfaces and multimodal input

    Coming soon
  6. Module 6

    Tool calling

    Coming soon
  7. Module 8

    Retrieval-augmented generation in code

    Coming soon
  8. Module 9

    Evaluating LLM features

    Coming soon
  9. Module 10

    Agents and workflows

    Coming soon
  10. Module 11

    Model Context Protocol (MCP)

    Coming soon
  11. Module 12

    Security, safety and privacy

    Coming soon
  12. Module 13

    Production engineering: caching, cost, tracing, testing and release

    Coming soon
  13. Module 14

    On-device and in-browser models

    Coming soon
  14. Module 15

    Adapting models with fine-tuning

    Coming soon

Related tools

LLM Token Counter Exact token counts for OpenAI and open models — your text never leaves the browser. JSON Schema Validator Check JSON against a schema and get every error with its path, line and a clear fix. JSON Formatter Pretty-print, minify and fix JSON with exact error locations.

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