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.
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.
Follow these quickstart instructions to setup your lab environment before starting the Hands-On Lab.
Follow the Hands-On Lab instructions.
We welcome feedback and comments from Microsoft SMEs & learning partners who deliver this workshop.
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