Master modern Python features, essential libraries, and development tools for building production-ready AI applications. Learn Python 3.12+, async programming, and modern package management.
By the end of this module, you will:
uvExplore Python 3.12+ features that make AI development faster and more robust. Learn flexible f-strings for prompt engineering, advanced type hints, and performance improvements.
Master the must-have Python libraries: requests for API calls, Pydantic for data validation, dotenv for configuration, and modern tools like uv for package management.
Learn to confidently handle JSON data from LLM APIs. Master parsing, validation, error handling, and working with complex nested structures.
Set up professional Python projects with virtual environments. Learn venv basics and master modern tools like uv and ruff for dependency management and code quality.
Build high-performance AI applications with asyncio and aiohttp. Learn to make concurrent API calls, handle streaming responses, and optimize for speed.
Build a production-ready Python application that interacts with multiple LLM providers (OpenAI, Anthropic, Groq) using modern async patterns. Implement error handling, rate limiting, and response validation.
What you'll build:
Test your understanding with 15 questions covering modern Python features, essential libraries, JSON handling, package management, and async programming. You need 70% or higher to pass.