Master the Python skills specifically needed for building modern AI applications.
Schedule
April 4 - April 11, 2026
Duration
2 Weeks • 3hrs/wk
Project
Hands-on capstone
3 practical sections built around live exercises.
Build the Python fluency needed for model calls, data pipelines, and backend services.
Topics covered
Hands-on lab
Write a small command-line assistant that reads configuration, processes user input, and returns structured output.
Use schemas to make AI application inputs and outputs reliable enough for real products.
Topics covered
Hands-on lab
Design request and response schemas for a model-powered content review workflow.
Package Python AI logic behind clean API endpoints with practical production habits.
Topics covered
Hands-on lab
Ship a FastAPI endpoint that validates an AI task, runs the workflow, and returns a typed response.
Concrete capabilities you should leave with.
Write clean Python scripts for AI workflows
Validate AI inputs and outputs with Pydantic
Build a small FastAPI service around model-powered logic
Understand the backend patterns used in modern AI apps