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 the types of Azure OpenAI base models.
Use the Azure OpenAI Studio, console, or REST API to deploy and test a base model 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