GenAI Agent Engineering

Setting Up Your Agent Development Workspace

Connect to major LLM providers.

Build a Docker container for a Python app that calls the Gemini API, then run it locally and push to a registry.

Processing Data Streams Efficiently

Write reusable, modular code.

Build REST APIs with FastAPI, Pydantic validation, and OpenAPI docs.

Build an isolated Python virtual environment programmatically, install a pinned package into it, and verify that the package imports only inside the venv while its interpreter reports a prefix separate from the base install.

Build a key manager that loads LLM provider API keys from environment variables with a secret-file fallback, fails loudly when a required key is missing, redacts keys for safe logging, and uses the loaded key to make an authenticated LLM call.

Async client patterns: exponential backoff, retry loops, and concurrent batching with asyncio, verified deterministically against a scripted transport. Complete the TODO implementations to pass all tests.

Build a client that turns on Anthropic extended thinking and separates the thinking trace from the final answer, then request strict JSON output, parse it into a typed weather report, and reject malformed replies.

Build a Python app that renders text from style templates, enforces a word budget, and returns structured, reproducible report responses.

Build a ConfigPipeline that chains generator stages together to source data from Gemini, filter items by predicate, transform data, and collect results through a complete pipeline.

Build a CounterManager class that demonstrates local and global variables. Learn how scope affects variable accessibility and when to use the global keyword versus explicit data flow.

Rebuild the lab around a real FastAPI app: define Pydantic request/response models with Field(examples=...) and json_schema_extra, attach them via response_model and openapi_extra on actual @app.post/@app.get routes, then have the learner assert that app.openapi()['paths'][...]['requestBody'/'respon