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Course Outline
Introduction
MLOps Overview
- What is MLOps?
- MLOps within the Azure Machine Learning architecture
Preparing the MLOps Environment
- Setting up Azure Machine Learning
Model Reproducibility
- Working with Azure Machine Learning pipelines
- Integrating Machine Learning processes with pipelines
Containers and Deployment
- Packaging models into containers
- Deploying containers
- Validating models
Automating Operations
- Automating operations using Azure Machine Learning and GitHub
- Retraining and testing models
- Rolling out new models
Governance and Control
- Creating an audit trail
- Managing and monitoring models
Summary and Conclusion
Requirements
- Prior experience with Azure Machine Learning is required.
Audience
- Data Scientists
14 Hours
Testimonials (3)
Everything, is a new platform for me and everything was interesting.
Sergiu
Course - AZ-104T00-A: Microsoft Azure Administrator
It was very much what we asked for—and quite a balanced amount of content and exercises that covered the different profiles of the engineers in the company who participated.
Arturo Sanchez - INAIT SA
Course - Microsoft Azure Infrastructure and Deployment
The course, Trainer
