Overview

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

• Get started with Azure OpenAI Service: This module provides engineers with the skills to begin building an Azure OpenAI Service solution.
• 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.
• 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.
• Generate code with Azure OpenAI Service: This module shows engineers how to use the Azure OpenAI Service to generate and improve code.
• 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.
• 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.
• Fundamentals of Responsible Generative AI: Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.