Skill Course
Python Foundations for Software & AI Engineering
Develop reliable Python programs for backend services and AI applications.
Learning objectives
Write clear, idiomatic Python
Model and transform structured data
Organize code into reusable modules
Handle errors and files safely
Test and package a Python application
Course coverage
Python syntax, variables, data types, operators and input/output
Control flow, loops, functions, scope and comprehensions
Lists, tuples, dictionaries, sets and common data operations
Modules, packages, pip, virtual environments and project structure
Object-oriented programming: classes, inheritance and composition
Files, JSON, CSV, exceptions, debugging and logging
HTTP requests, external libraries and API consumption
Testing fundamentals, Pytest and a Git-based Python workflow
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Use production-grade Python patterns for concurrent, data-intensive AI workloads.