AI-050: Develop Generative AI Solutions with Azure OpenAI Service
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.
At a glance
Level: Intermediate
Product: Microsoft Fabric
Audience/Role: AI Engineer
Subject: Data engineering, Data analytics
Audience
The audience for this course includes software developers and data scientists who need to use large language models for generative AI.
Job roles: AI Engineer, Data Scientist
Prerequisites
- Familiarity with Azure and the Azure portal
- 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.
Course content
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
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.
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
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
