This five-day instructor-led course is designed for students who want to master Python programming with a heavy emphasis on Artificial Intelligence (AI) and Machine Learning (ML) infrastructure. Grounded in Python 3.12, this curriculum teaches students how to write, debug, and document clean code while constructing data pipelines, processing mathematical vectors, and integrating live cloud-based Machine Learning models. Lab exercises are conducted within Google Colab, providing zero-configuration access to GPU runtimes, and students will learn to deploy production-grade Python interfaces to free cloud-hosting platforms directly from GitHub repositories.

Students may continue to use these resources after the class. When necessary, updates to the student materials will be freely accessible by current and past students on GitHub (https://github.com/neiltucker/55264B).

Note: The material in this course updates the material from its previous version, 55264A.