AI-300T00-A: Operationalize machine learning and generative AI solutions [Cloud Slice Provided]

AI-300T00-A: Operationalize machine learning and generative AI solutions [Cloud Slice Provided]

US$75.00
Current Stock:
Adding to cart… The item has been added
Description

This course uses Azure Cloud Slice! Azure Cloud Slice eliminates the need for pass management and allows users to get straight to learning. No student Azure Passes are required. Each lab has a maximum of 10 launches.

To learn more about Azure Cloud Slice labs, visit our MOC Labs and Azure Access webpage.

Instructors: Please review the "Instructor Delivery Guide" course activity prior to class delivery. This activity includes important instructor and user information, as well as delivery best practices.


This course prepares learners to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure. It covers building secure and scalable AI infrastructure, managing the full lifecycle of traditional machine learning models with Azure Machine Learning, and deploying, evaluating, monitoring, and optimizing generative AI applications and agents using Microsoft Foundry. Learners will gain hands-on knowledge of automation, continuous integration and delivery, infrastructure as code, and observability by using tools such as GitHub Actions, Azure CLI, and Bicep. The course emphasizes collaboration with data science and DevOps teams to deliver reliable, production-ready AI systems aligned with modern MLOps and GenAIOps best practices.

Note: Currently, Lab 5: Plan and prepare an MLOps solution with Azure Machine Learning is not available in this course. Once this lab is available, it will be added to the course and available to learners during their post-class access.

Additional Information
Product Type:
ILT SEAT