INFO9023 - Machine Learning Systems Design

The course of Machine Learning System Designs (or MLOps) aims at enabling students to truly build fully functional “user-ready” ML systems. It will look at the whole lifecycle of building a real world ML application. At the end of the course, students will be familiar with key tools and frameworks of MLOps.

We are in the early days of the AI revolution, which is expected to bring a large impact to many industries. There is a large demand for skilled engineers who are able to build ML systems.

Bringing a Machine Learning application to production requires many more efforts than solely the ML model development. Famously, there is a large hidden technical debts in designing and implementing all the components coming around your model.

This course and material contained in the GitHub repo of the course aims at closing that technical debt by providing essential tools and best practices in MLOps.