Advanced Programming Concepts II

Course description

This course equips students with advanced programming practices essential for deploying and maintaining machine learning applications. Emphasis is placed on writing modular, testable, and well-documented code in collaborative development environments.

Students transition from exploratory notebooks to production-ready Python packages and APIs, applying best practices in software engineering.

Course content

Writing Modular and Maintainable Python Code
Logging and Error Handling
Developing and Publishing Python Packages (Wheels & Source Distributions)
CLI Tools and Interfaces
API Development with FastAPI
Code Documentation and Docstring Standards
Code Quality: Linting, Formatting, and Pre-Commit Hooks
Unit Testing and Continuous Integration
Version Control and Branching Strategies in Git

Prerequisites

This course builds on earlier work in which students developed machine learning models for natural language processing (Y2A1) or computer vision (Y2B1). These models will now be prepared for production deployment.
Completion of all Year 1 courses in the Applied Data Science & AI programme.