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.

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 starting this one.

Modules in this learning path

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 AI Studio
• Explore types of generative AI models
• Deploy generative AI models
• Use prompts to get completions from models
• Test models in Azure AI Studio's playground
• Exercise - Get started with Azure OpenAI Service
• Knowledge check
• Summary

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
• Exercise - Integrate Azure OpenAI into your app
• Knowledge check
• Summary

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
• Exercise - Utilize prompt engineering in your application
• Knowledge check
• Summary

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
• Exercise - Generate and improve code with Azure OpenAI Service
• Knowledge check
• Summary

Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

Azure OpenAI on your data allows developers to implement RAG with supported AI chat models to reference specific sources of data to ground the response.

• Introduction
• Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
• Add your own data source
• Chat with your model using your own data
• Exercise - Add your data for RAG with Azure OpenAI Service
• Knowledge check
• Summary

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 AI Studio
• Use the Azure OpenAI REST API to consume DALL-E models
• Exercise - Generate images with a DALL-E model
• Knowledge check
• Summary