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.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

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.

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


Audience

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.

Language

English

Prerequisites

Before starting this learning path, you should already have: 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.

$725

Length: 1.0 day (8 hours)

Level:

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