Skill Course
Advanced Python For AI
Use production-grade Python patterns for concurrent, data-intensive AI workloads.
Learning objectives
Design typed, maintainable Python components
Use asynchronous programming for API workloads
Build robust data and model pipelines
Profile and improve application performance
Test external integrations with mocks and fixtures
Course coverage
Advanced functions, decorators, generators, iterators and context managers
Type hints, dataclasses, Pydantic, validation and serialization
Advanced OOP, abstractions, interfaces, protocols and dependency patterns
Asynchronous programming, async/await, the event loop and concurrency fundamentals
HTTP clients, asynchronous API consumption, retries and timeouts
Testing, mocking, fixtures, logging and configuration management
Python packaging, dependency management and environment management
Performance, profiling, memory considerations and production Python practices
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