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This guidance includes principles and design guides that influence the ai and machine learning workload across the five architecture pillars This article outlines the core principles for ai workloads on azure, with a focus on the ai aspects of an architecture. You should implement those recommendations in the scenarios and content in the azure architecture center.
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Design solutions on azure using established patterns and practices Learn how to apply these principles to an ai workload Azure architecture center is a catalog of solution ideas, example workloads, reference architectures, technology decision guides, and architecture guides for azure workloads.
Find architecture diagrams and technology descriptions for reference architectures, real world examples of cloud architectures, and solution ideas for common workloads on azure.
The course introduces technical professionals to core ai concepts, machine learning fundamentals, and the application of azure ai services to build intelligent solutions. Design and implement an azure ai solution using azure ai services, azure ai search, and azure open ai Find ai architectures and guides to build ai workloads with azure ai platform services like azure ai foundry, azure openai, azure machine learning, and azure ai services.
