Final Exam: Generative AI on Azure

Intermediate
  • 1 video | 32s
  • Includes Assessment
  • Earns a Badge
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Final Exam: Generative AI and Azure will test your knowledge and application of the topics presented throughout the Generative AI and Azure track.

WHAT YOU WILL LEARN

  • Define generative artificial intelligence (ai) and explain how it works
    identify the types of generative ai models
    identify the microsoft azure services that can be used to build and deploy generative ai applications
    provide an overview of the advantages of leveraging generative ai in microsoft azure
    outline the azure openai service, including its features, the opportunities it provides, and how it can be leveraged in generative ai application development
    outline the process of training and fine-tuning generative ai models on azure
    outline what azure openai service is and how it works
    identify the types of models that are available on azure openai service
    identify how azure openai service can be used to solve real-world problems
    outline the pricing options for azure openai
    provide an overview of how azure openai can be used to generate text, translate languages, write content, and answer questions
    provide an overview of the azure openai architecture
    demonstrate how to prepare to work with azure openai
  • demonstrate how to get started with azure openai studio by exploring the interface and various functionalities
    provide an overview of how azure openai service can be used to train and deploy models
    describe the purpose and features of azure cognitive search
    describe how to configure key features of openai to secure privacy and comply with company policy or industry regulations
    discuss azure openai quotas and limits, and how to use azure openai service to collaborate with other developers and teams
    discuss how to implement image generation using azure openai
    explain what azure bot service is and how it's used
    identify the different types of generative ai models that can be used for bots
    outline ethical considerations surrounding the use of generative ai-driven bots
    outline how to monitor the azure bot service
    discuss how to audit your usage and track costs with azure bot service
    demonstrate procedures for monitoring and troubleshooting the azure bot service

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