About this Course:

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.

Audience Profile

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.

Before attending this course, students must have:

Before starting this learning path, you should already have familiarity with Azure and the Azure portal.

Module 1: Introduction to OpenAI Service
What is generative AI
Azure OpenAI
How to use Azure OpenAI
OpenAI’s natural language capabilities
OpenAI code generation capabilities
OpenAI’s image generation capabilities
Azure OpenAI’s access and responsible AI policies
Exercise – Explore Azure OpenAI Service

Module 2: Get started with Azure OpenAI Service
Access Azure OpenAI Service
Use Azure OpenAI Studio
Explore types of generative AI models
Deploy generative AI models
Use prompts to get completions from models
Test models in Azure OpenAI Studio’s playgrounds
Exercise – Get started with Azure OpenAI Service

Module 3: Build natural language solutions with Azure OpenAI Service
Integrate Azure OpenAI into your app
Use Azure OpenAI REST API
Use Azure OpenAI SDK
Exercise – Integrate Azure OpenAI into your app

Module 4: Apply prompt engineering with Azure OpenAI Service
Understand prompt engineering
Write more effective prompts
Provide context to improve accuracy
Exercise – Utilize prompt engineering in your application



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