Machine Learning Ops — Dive into the dynamic world of Machine Learning Operations (MLOps) by understanding the core pillars: Infrastructure, Automation, and Pipelining. From contrasting cloud and on-premise solutions to understanding the power of Active Learning in modern MLOps, we've got you covered. Delve into advanced topics like the impact of Large Language Models (LLMs) and the nuances of Federated Learning. Plus, discover how DevOps integrates with MLOps using popular tools like Docker and Kubernetes. Round off your learning with a deep dive into Model Delivery, Testing, and real-world case studies. Stay ahead in the AI and ML realm by understanding both current MLOps practices and future tRENDS.
No prereqs
Taught by nobody this semester.