Free text-first course
FastAPI for AI Backend Development
A tested FastAPI backend with typed request and response models, dependencies, error handling, auth boundaries, background work, docs, and an AI-ready service endpoint.
What you will be able to do
A tested FastAPI backend with typed request and response models, dependencies, error handling, auth boundaries, background work, docs, and an AI-ready service endpoint.
Use a repeatable workflow instead of disconnected tips.
Check assumptions, evidence, output quality, and limitations before using results.
Create a capstone artifact that can be inspected, improved, and reviewed.
What you need before starting
Learners who know basic Python and want to build clean APIs for data, automation, and AI applications.
Python Foundations for AI is required. Generative AI Application Development with Python is helpful but not required.
Static lessons, activities, knowledge checks, learner templates, and a downloadable text-first pack.
15-module course sequence
The sequence follows the approved detailed syllabus and is implemented as a complete text-first shell.
Module 01
What FastAPI Is and When an API Is the Right Shape
- Learn how What FastAPI Is and When an API Is the Right Shape fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 02
Local Setup, Project Structure, and Running with Uvicorn
- Learn how Local Setup, Project Structure, and Running with Uvicorn fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 03
HTTP Basics: Routes, Methods, Status Codes, and JSON
- Learn how HTTP Basics: Routes, Methods, Status Codes, and JSON fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 04
Path, Query, and Body Parameters
- Learn how Path, Query, and Body Parameters fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 05
Pydantic Models for Request and Response Contracts
- Learn how Pydantic Models for Request and Response Contracts fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 06
Response Models, Error Handling, and API Documentation
- Learn how Response Models, Error Handling, and API Documentation fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 07
Dependency Injection for Shared Logic and Settings
- Learn how Dependency Injection for Shared Logic and Settings fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 08
Routers, Larger Project Structure, and Service Layers
- Learn how Routers, Larger Project Structure, and Service Layers fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 09
Testing FastAPI Endpoints with Fixtures
- Learn how Testing FastAPI Endpoints with Fixtures fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 10
Security Boundaries: API Keys, Auth Concepts, and CORS
- Learn how Security Boundaries: API Keys, Auth Concepts, and CORS fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 11
Background Tasks, File Uploads, and Async Boundaries
- Learn how Background Tasks, File Uploads, and Async Boundaries fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 12
Database and External Service Boundaries
- Learn how Database and External Service Boundaries fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 13
AI-Ready API Endpoints with Mock Model Services
- Learn how AI-Ready API Endpoints with Mock Model Services fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 14
Deployment Readiness: Environment, Containers, Workers, and Monitoring
- Learn how Deployment Readiness: Environment, Containers, Workers, and Monitoring fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Module 15
Capstone: Tested AI-Ready FastAPI Backend
- Learn how Capstone: Tested AI-Ready FastAPI Backend fits into FastAPI backend development instead of treating it as an isolated topic.
- Practice by implementing or reviewing a small API/backend component using the module idea, then compare the result with the module review checklist.
- Produce a backend evidence note with request/response behavior, test check, and next fix before moving ahead in FastAPI for AI Backend Development.
Course status: outline published, lessons in development
The full syllabus, module structure, activities, and download pack are published and free to use now. Detailed lesson writing is still in progress, so lesson pages currently give the shape of each topic rather than the final teaching depth. Per-module assessments, worked examples, instructional diagrams, and external specialist review are planned next.