Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. 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. Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. Understand how you can use Azure OpenAI to build solutions against AI models within Azure.

Course 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
• 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.
• Use natural language prompts to write code
• Build unit tests and understand complex code with AI models
• Generate comments and documentation for existing code
• Describe the capabilities of DALL-E in the Azure openAI service
• Use the DALL-E playground in Azure OpenAI Studio
• Use the Azure OpenAI REST interface to integrate DALL-E image generation into your apps
• Describe the capabilities of Azure OpenAI on your data
• Configure Azure OpenAI to use your own data
• Use Azure OpenAI API to generate responses based on your own data
• Describe an overall process for responsible generative AI solution development
• Identify and prioritize potential harms relevant to a generative AI solution
• Measure the presence of harms in a generative AI solution
• Mitigate harms in a generative AI solution
• Prepare to deploy and operate a generative AI solution responsibly

Course content

Get started with Azure OpenAI Service

This module provides engineers with the skills to begin building an Azure OpenAI Service solution.

• 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
• Lab: Get started with Azure OpenAI Service

Build natural language solutions with Azure OpenAI Service

This module provides engineers with the skills to begin building apps that integrate with the Azure OpenAI Service.

• Introduction
• Integrate Azure OpenAI into your app
• Use Azure OpenAI REST API
• Use Azure OpenAI SDK
• Lab: Integrate Azure OpenAI into your app

Apply prompt engineering with Azure OpenAI Service

Prompt engineering in Azure OpenAI is a technique that involves designing prompts for natural language processing models. This process improves accuracy and relevancy in responses, optimizing the performance of the model.

• Introduction
• Understand prompt engineering
• Write more effective prompts
• Provide context to improve accuracy
• Lab: Utilize prompt engineering in your application

Generate code with Azure OpenAI Service

This module shows engineers how to use the Azure OpenAI Service to generate and improve code.

• Introduction
• Construct code from natural language
• Complete code and assist the development process
• Fix bugs and improve your code
• Lab: Generate and improve code with Azure OpenAI Service

Generate images with Azure OpenAI Service

The Azure OpenAI service includes the DALL-E model, which you can use to generate original images based on natural language prompts.

• Introduction
• What is DALL-E?
• Explore DALL-E in Azure OpenAI Studio
• Use the Azure OpenAI REST API to consume DALL-E models
• Lab: Generate images with a DALL-E model

Use your own data with Azure OpenAI Service

Azure OpenAI on your data allows developers to use supported AI chat models that can reference specific sources of data to ground the response.

• Introduction
• Understand how to use your own data
• Add your own data source
• Chat with your model using your own data
• Lab: Use your own data with Azure OpenAI Service

Fundamentals of Responsible Generative AI

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

• Introduction
• Plan a responsible generative AI solution
• Identify potential harms
• Measure potential harms
• Mitigate potential harms
• Operate a responsible generative AI solution
• Lab: Explore content filters in Azure OpenAI

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