AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service

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1 days - $595

Azure OpenAI Service provides access to OpenAI’s powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you’ll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.

This Course is for…

The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.

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  • Course Outline
  • Objectives
  • 1 – Introduction to Azure OpenAI Service

    • Introduction
    • What is generative AI
    • Describe Azure OpenAI
    • How to use Azure OpenAI
    • Understand OpenAI’s natural language capabilities
    • Understand OpenAI code generation capabilities
    • Understand OpenAI’s image generation capabilities
    • Describe Azure OpenAI’s access and responsible AI policies
    • Knowledge check
    • Summary

    2 – Get started with Azure OpenAI Service

    • Introduction
    • Access Azure OpenAI Service
    • Use Azure OpenAI Studio
    • Explore types of generative AI models
    • Deploy generative AI models
    • Use prompts to get completions from models
    • Test models in Azure OpenAI Studio’s playgrounds
    • Exercise – Get started with Azure OpenAI Service
    • Knowledge check
    • Summary

    3 – Build natural language solutions with Azure OpenAI Service

    • Introduction
    • Integrate Azure OpenAI into your app
    • Use Azure OpenAI REST API
    • Use Azure OpenAI SDK
    • Exercise – Integrate Azure OpenAI into your app
    • Knowledge check
    • Summary

    4 – Apply prompt engineering with Azure OpenAI Service

    • Introduction
    • Understand prompt engineering
    • Write more effective prompts
    • Provide context to improve accuracy
    • Exercise – Utilize prompt engineering in your application
    • Knowledge check
    • Summary
  • In this module you’ll learn how to:
    Describe Azure OpenAI workloads and access the Azure OpenAI Service
    Understand generative AI models
    Understand Azure OpenAI’s language, code, and image capabilities
    Understand Azure OpenAI’s responsible AI practices and limited access policies
    Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models.
    Use the Azure OpenAI Studio, console, or REST API to deploy a base model and test it in the Studio’s playgrounds.
    Generate completions to prompts and begin to manage model parameters.
    Integrate Azure OpenAI into your application
    Differentiate between different endpoints available to your application
    Generate completions to prompts using the REST API and language specific SDKs
    Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models’ performance.
    Know how to design and optimize prompts to better utilize AI models.
    Include clear instructions, request output composition, and use contextual content to improve the quality of the model’s responses.