Description

This 1-day course will reveal Azure’s powerful AI offering, opening the door to limitless possibilities in the realm of Generative AI solutions. Whether you are a budding AI enthusiast or an experienced professional looking to expand your skillset, our course is designed to cater to all levels of expertise. The first step is getting started with Azure OpenAI Service. You will then gain a solid understanding of the Azure OpenAI interface, its functionalities, and how to navigate it effectively. The course transitions learners from beginner to proficient users of Azure OpenAI Service, ready to develop AI solutions. Next, the course delves into the intriguing concept of prompt engineering with Azure OpenAI Service. Through hands-on exercises and practical examples, learners understand how to refine AI outputs to better align with real-world applications. By the end of this course, they will be equipped with the knowledge and skills needed to create powerful Generative AI Solutions on Azure.

Target Audience:

• AI Engineer
• Data Scientist

Objectives

• Introduction to Azure OpenAI Service
• Get started with Azure OpenAI Service
• Build natural language solutions with Azure OpenAI Service
• Apply prompt engineering with Azure OpenAI Service

Required Prerequisites:

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

Course Outline

1. Fundamentals of Azure OpenAI Service
   1. Describe Azure OpenAI workloads and access the Azure OpenAI Service
   1. Understand generative AI models
   1. Understand Azure OpenAI’s language, code, and image capabilities
   1. Understand Azure OpenAI’s responsible AI practices and limited access policies
2. Build natural language solutions with Azure OpenAI Service
   1. Integrate Azure OpenAI into your application
   1. Differentiate between different endpoints available to your application
   1. Generate completions to prompts using the REST API and language-specific SDKs
   1. Lab: Integrate Azure OpenAI into your app

Course Outline

• Get started with Azure OpenAI Service
  • 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 a base model and test it in the Studio’s playgrounds
  • Generate completions to prompts and begin to manage model parameters
  • Lab: Get started with Azure OpenAI Service
• Apply prompt engineering with Azure OpenAI Service
  • 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
  • Lab: Utilize prompt engineering in your application

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