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The OpenAI API and the Playground

In the Playground you experiment before you write any code: system versus user messages, temperature and what it actually trades off (consistency versus variation), max tokens, and the token counter that turns cost from an abstraction into a number you watch move.

Get a prompt working here first, then take it to code. Never debug prompt and plumbing at the same time.

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  • OpenAI Playground and API reference
Back to Week 1·Full syllabus

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From model call to reliable component

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Module 1.1 - Build your first LLM service

Lessons in this module

  • From model call to reliable component
  • The OpenAI API and the Playground
  • Module 1.1 - Build your first LLM service
  • Module 1.2 - Prompting that ships
  • Module 1.3 - Output guardrails and validation
  • Module 1.4 - Token economics and context budgets
  • Module 1.5 - Choosing the right model
  • Module 1.6 - Context engineering: the throughline
  • Module 1.D1 - Advanced structured outputs and function-calling schemas
  • Module 1.D2 - The provider landscape beyond OpenAI
  • Module T - Token Optimisation
  • Module B - Mastering AI Engineering: the free-resources bridge
  • Week 1 assignment support: Ship Your First AI Endpoint
  • Ship your reliable reasoning endpoint
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