Mastering MLOps: Complete Course on ML Operations Course Overview

The "Mastering MLOps: Complete Course on ML Operations" is an extensive machine learning operations course designed to equip learners with the skills necessary to manage and operationalize machine learning models effectively. Throughout the course, participants will delve into the fundamentals of machine learning operations and be introduced to a suite of tools and practices that streamline the entire ML lifecycle. From Model and data versioning using MLFlow and DVC to Deploying ML models via APIs and web applications, the course covers a broad range of topics. Learners will also get hands-on experience with Auto-ML, Containerization with Docker, and CI/CD processes using GitHub Actions. By the end of the course, they will have completed a full MLOps project, which will solidify their understanding and prepare them to tackle real-world machine learning operational challenges.