Course Wrap-up and next steps

Congratulations on completing the entire Python for GenAI course! Let us review everything you learned, then look at what to build next.

Your Python-for-GenAI journey

The phases you completed in this course

Here is what you have mastered: 1. Python Essentials (variables, types, f-strings, lists, dicts, control flow, comprehensions) 2. Functions and Error Handling (def, lambda, args/*kwargs, file I/O, try/except/finally) 3. The GenAI Toolkit (imports, JSON parsing, environment variables, dotenv) 4. Object-Oriented Python (classes, type hints, TypedDict, decorators) 5. Advanced Patterns (async/await, subprocess, pandas, generators, scope) 6. Modern Python and Capstone (match/case, walrus operator, your first AI API call) Every concept was taught with GenAI context so you know exactly where it appears in real AI code.

Flashcards: Flashcards

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Checkpoint: Final course checkpoint

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What to build next: 1. AI Foundation Workshop, where you master the 6 core building blocks of GenAI (text generation, vision, structured outputs, function calling, MCP, reasoning) 2. RAG Fundamentals Workshop, where you build a retrieval-augmented generation pipeline 3. Agentic RAG Workshop, where you create an AI agent that writes SQL and analyzes data All of these courses use the exact Python patterns you just learned. You are ready!

Quiz: Quiz

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