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Develop Generative AI Solutions with Azure OpenAI Service (AI-050)

Course Outline

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 AI Solutions with Azure course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.

Develop Generative AI Solutions with Azure OpenAI Service (AI-050) Benefits

  • In this course, you will learn how to:

    • Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. 
    • Begin building an Azure OpenAI Service solution. 
    • Begin building apps that integrate with the Azure OpenAI Service. 
    • Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models' performance. 

  • Training Prerequisites

    Familiarity with Azure and the Azure portal. 

    Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before taking this course. 

AI Solutions with Azure Training Outline

Introduction to Azure OpenAI Service

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

Get started with Azure OpenAI Service

By the end of this module, you'll be able to:

  • Create an Azure OpenAI Service resource and understand the types of Azure OpenAI base models.
  • Use the Azure OpenAI Studio, console, or REST API to deploy and test a base model in the Studio's playgrounds.
  • Generate completions to prompts and begin to manage model parameters.

Build natural language solutions with Azure OpenAI Service

By the end of this module, you'll be able to:

  • 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

Apply prompt engineering with Azure OpenAI Service

By the end of this module, you'll be able to:

  • 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
Course Dates - North America
Course Dates - Europe
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