AI-050: Develop Generative AI Solutions with Azure OpenAI Service

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.

Job role: AI Engineer, Data Scientist

Before starting this learning path, you should already have:

• Familiarity with Azure and the Azure portal.
• Experience programming with C# or Python.

Module 1: 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

Module 2: 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 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.

Module 3: 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

Module 4: 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.