Practical MLOps

Practical MLOps with ZenML

This advanced guide contains some practical guides and motivating examples showcasing the core concepts and features of MLOps. Here you will learn how about some of the essential stack components that you will likely use as part of your stack, from experiment trackers to model deployers.
For full illustrations of this functionality, please visit and use our full ZenBytes course which walks you through fully-functional examples of all of the concepts contained in this practical MLOps guide.
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These articles are intended to showcase some of the core features, but we recommend you work your way through the full ZenBytes course if you want to dive into the details of the various components of a production MLOps workflow.
Practical MLOps Chapter
Corresponding ZenBytes Lesson
​Stack Recipes​
​MLOps Stacks Repository​
​Switching orchestration​
N/A
​Secrets Management​
N/A
​Tracking experiments​
​2.1 Experiment Tracking​
​Validating data​
​3.1 Data Skew​
​Deploying models and batch inference​
​2.2 Local Deployment, 2.3 Inference Pipelines​

Practical MLOps Chapter	Corresponding ZenBytes Lesson
Stack Recipes	MLOps Stacks Repository
Switching orchestration	N/A
Secrets Management	N/A
Tracking experiments	2.1 Experiment Tracking
Validating data	3.1 Data Skew
Deploying models and batch inference	2.2 Local Deployment, 2.3 Inference Pipelines

Tracking Custom Stack Component Metadata

Stack Recipes

Last modified 2d ago

Practical MLOps

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Learn with ZenBytes