Create a Code-With Experience between partners and customer, driving in the best practices deploying a MLOps solution using trunk-based development, for understanding best practices of Machine Learning Operationalization and Software Engineering combined.
Automation: Automated processes with a reduced lead time, delivering value faster and frequently.
Engineering Practices: Land Agile and Software Engineering Practices contributing to maturity levels and impacting the Developer Velocity Index.
Knowledge Transfer: Empowered and Skilled Developers and Engineers, leaving them with more confidence and knowledge to build solutions inside Azure.
- DevOps
- Infrastructure as Code
- MLOps
- Software Engineers
- Data Engineers
- Data Architects
In this workshop, you will deploy a MLOps reference arquitecture. It demostrates how apply the worflow in a sample project along with a CI/CD implementation for Azure DevOps.
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Follow these quickstart instructions to setup your lab environment before starting the Hands-On Lab.
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Follow the Hands-On Lab instructions.
- Azure DevOps
- Azure Machine Learning
- Azure Data Lake Storage Gen2
- Azure Data Factory
- Azure Event Grid
We welcome feedback and comments from Microsoft SMEs & learning partners who deliver this workshop.
Having trouble?
- First, verify you have followed all written lab instructions (including the quickstart documents).
- Next, submit an issue with a detailed description of the problem.
- Do not submit pull requests. Our content authors will make all changes and submit pull requests for approval.
If you are planning to present a workshop, review and test the materials early! We recommend at least two weeks prior.
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