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Deep Dive Into Generative AI with Azure OpenAI

Learn Azure OpenAI: architecture, OpenAI Studio, model customization and deployment, text and image generation, integration, privacy and compliance issues, and more.

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  • Skill level

    Intermediate

  • Time to complete

    Approx. 2 hours

  • Certificate of completion

    Yes

About this course

The Azure Cloud platform's generative artificial intelligence (AI) solutions are robust and mature. Encompassing multiple services and supporting rich integration with other Azure services, it's relatively easy to get up and running with generative AI solutions using Azure. In this course, you'll dive deep into generative AI with Azure OpenAI, beginning with an introduction to Azure OpenAI architecture, an overview of OpenAI Studio, and a hands-on demonstration of how to customize models in Azure OpenAI. Then you'll learn how to build a custom app, fine-tune OpenAI models, and deploy models with Azure OpenAI. You'll explore text generation, translation, question answering, image generation, and troubleshooting. Finally, you'll discover Azure OpenAI service integrations, AI Search (formerly Cognitive Search), privacy and compliance issues, and quotas and collaboration with Azure OpenAI.

Learning objectives

  • Discover the key concepts covered in this course
  • Provide an overview of the azure openai architecture
  • Prepare to work with azure openai

How it works

Expert-led videos

In this course, you'll watch videos created by industry-leading experts for some of the biggest tech companies in the world. They'll cover key concepts, go through sample applications, prepare you for industry certifications, and more. Watch on any device — whenever and wherever you want — to learn at your own pace.
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The Relationship Between the Cloud & AI Explained

Cory Stieg
May 1, 2024

As AI finds its way into so many aspects of our lives, it’s even more important to understand the infrastructure that powers this valuable tool. That includes the cloud, which is a big part of how AI apps are deployed and scaled.  

Cloud computing basically refers to internet-delivered services like servers, storage, databases, networks, software, and analytics. The cloud provides computational power and ample data storage that’s needed to train, develop, and deploy cutting-edge AI models.  

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