Last Updated 18 Jul 2025This course describes the organizational process for building AI workloads in Azure. It explains the various design areas, the GenAIOps process, and describes how to make the workloads well architected.
Duration - 8 Hours
Level - Intermediate
Style - Self paced
Course Type - Project Ready with Labs
Certification - No
Hands on Labs - Yes
Solution Areas - Azure - Cloud & AI Platform, Migrate and Modernize Your estate
Explore AI workloads on Azure, including strategy, planning, and readiness, with deployment across PaaS, IaaS, and Azure OpenAI Landing Zones. Learn to manage, govern, and secure AI using the Cloud Adoption Framework.
This module introduces GenAIOps and key design areas for AI workloads on Azure, focusing on deployment, testing, and evaluation. It also highlights workload team personas involved in managing AI solutions effectively.
Learn to design and evaluate AI workloads on Azure using repeatable patterns, the Azure Well-Architected Framework, and responsible AI principles. This includes design methodologies, key design areas, and workload assessments to ensure performance and accountability.
Take this assessment to validate your skills gathered from the self-paced online learning course completed in this course to mark your completion.
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Intermediate
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Intermediate
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Intermediate
Intermediate
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