Engineering Foundations for AI: sections and modules
T1.2Partly ready
APIs and backend for AI apps
Build a production-shaped API around a model call.
About 4 h 55 min: 40 min reading + 4 h 15 min practice · 7 lessons
- Scope
- HTTP, FastAPI, streaming, auth basics
- Prerequisites
- Python for AI servicesOn hold
Lessons
Start moduleAlso used in this module
Lessons taught in another module that this one builds on.
- Caching in GenAI Systems
10 min · Credited source
Practise and Check
- Deliverable
- P1 Tested inference API
- Assessment
- P1 rubric
- Interview probe
- Design the API for an LLM feature
- Common mistakes
- No timeouts or retries on model calls
Your Progress
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