Syllabus
01 IntroductionML in production. 2 lessons
- 1.1What is MLOps?Coming soon
- 1.2The ML lifecycleComing soon
02 ToolsThe MLOps toolkit. 6 lessons
- 2.1Experiment tracking with MLflowComing soon
- 2.2Model versioning with DVCComing soon
- 2.3Serving models with FastAPIComing soon
- 2.4Containerising models with DockerComing soon
- 2.5CI/CD for MLComing soon
- 2.6Monitoring models and data driftComing soon