MLOps

Take ML models from a notebook to production.

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Syllabus

01 IntroductionML in production. 2 lessons
  1. 1.1What is MLOps?Coming soon
  2. 1.2The ML lifecycleComing soon
02 ToolsThe MLOps toolkit. 6 lessons
  1. 2.1Experiment tracking with MLflowComing soon
  2. 2.2Model versioning with DVCComing soon
  3. 2.3Serving models with FastAPIComing soon
  4. 2.4Containerising models with DockerComing soon
  5. 2.5CI/CD for MLComing soon
  6. 2.6Monitoring models and data driftComing soon