Python Testing and Packaging for AI Development

Building effective AI applications requires more than just writing algorithms; it requires stable, tested, and distributable code. This course guides you through the essential software engineering practices needed to turn Python scripts into professional-grade AI tools. You will learn how to verify your logic, manage dependencies, and prepare your projects for real-world use. What you'll learn: - Understand the fundamentals of unit testing to ensure your AI logic remains bug-free - Practice writing and running test cases using modern frameworks like pytest - Apply type hints to improve code readability and catch structural errors early - Configure Python packages for distribution using modern environment standards - Master the workflow of organizing, testing, and preparing code for deployment The course begins with foundational terminology and testing concepts before moving into practical exercises focused on code structure and dependency management. This program is designed for beginners with basic Python knowledge who want to adopt professional development standards. Start building more reliable and maintainable AI projects today.