EIEIOTECHNOVATION
← Training programmes

EIEIO / ARTIFICIAL INTELLIGENCE

Develop Generative AI Solutions with Azure OpenAI Service

Course outline

AI-050T001 day
Discuss this programme →

Duration

AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service

1 day

Overview

Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing.

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.

Outline

Get started with Azure OpenAI Service

This module provides engineers with the skills to begin building an Azure OpenAI Service solution.

Learning objectives

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.

Prerequisites

  • Familiarity with Azure and the Azure portal.
  • An understanding of generative AI. You can learn more with Introduction to Azure OpenAI Service.

This module is part of these learning paths

  • Develop Generative AI solutions with Azure OpenAI Service

Introduction

  • 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
  • Knowledge check
  • Summary

Build natural language solutions with Azure OpenAI Service

This module provides engineers with the skills to begin building apps that integrate with the Azure OpenAI Service.

Learning objectives

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

Prerequisites

  • Familiarity with Azure and the Azure portal.
  • An understanding of generative AI. You can learn more with Introduction to Azure OpenAI Service.
  • Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.

This module is part of these learning paths

  • Develop Generative AI solutions with Azure OpenAI Service

Introduction

  • Integrate Azure OpenAI into your app
  • Use Azure OpenAI REST API
  • Use Azure OpenAI SDK
  • Exercise - Integrate Azure OpenAI into your app
  • Knowledge check
  • Summary

Apply prompt engineering with Azure OpenAI Service

Prompt engineering in Azure OpenAI is a technique that involves designing prompts for natural language processing models. This process improves accuracy and relevancy in responses, optimizing the performance of the model.

Learning objectives

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.

Prerequisites

  • Familiarity with Azure and the Azure portal.
  • An understanding of generative AI. You can learn more with Introduction to Azure OpenAI Service.
  • Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
  • Before starting this module, we recommend you complete the previous modules in the Develop AI solutions with Azure OpenAI learning path.

This module is part of these learning paths

  • Develop Generative AI solutions with Azure OpenAI Service

Introduction

  • Understand prompt engineering
  • Write more effective prompts
  • Provide context to improve accuracy
  • Exercise - Utilize prompt engineering in your application
  • Knowledge check
  • Summary

Generate code with Azure OpenAI Service

This module shows engineers how to use the Azure OpenAI Service to generate and improve code.

Learning objectives

By the end of this module, you'll be able to:

  • Use natural language prompts to write code
  • Build unit tests and understand complex code with AI models
  • Generate comments and documentation for existing code

Prerequisites

  • Familiarity with Azure and the Azure portal.
  • An understanding of generative AI. You can learn more with Introduction to Azure OpenAI Service.
  • Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
  • Before starting this module, we recommend you complete the previous modules in the Develop AI solutions with Azure OpenAI learning path.

This module is part of these learning paths

  • Develop Generative AI solutions with Azure OpenAI Service

Introduction

  • Construct code from natural language
  • Complete code and assist the development process
  • Fix bugs and improve your code
  • Exercise - Generate and improve code with Azure OpenAI Service
  • Knowledge check
  • Summary

Generate images with Azure OpenAI Service

The Azure OpenAI service includes the DALL-E model, which you can use to generate original images based on natural language prompts.

Learning objectives

By the end of this module, you'll be able to:

  • Describe the capabilities of DALL-E in the Azure openAI service
  • Use the DALL-E playground in Azure OpenAI Studio
  • Use the Azure OpenAI REST interface to integrate DALL-E image generation into your apps

Prerequisites

Before starting this module, you should be familiar with the Azure OpenAI service. Consider completing the Get started with Azure OpenAI Service module before starting this one.

This module is part of these learning paths

  • Develop Generative AI solutions with Azure OpenAI Service

Introduction

  • What is DALL-E?
  • Explore DALL-E in Azure OpenAI Studio
  • Use the Azure OpenAI REST API to consume DALL-E models
  • Exercise - Generate images with a DALL-E model
  • Knowledge check
  • Summary

Use your own data with Azure OpenAI Service

Azure OpenAI on your data allows developers to use supported AI chat models that can reference specific sources of data to ground the response.

Learning objectives

By the end of this module, you'll be able to:

  • Describe the capabilities of Azure OpenAI on your data
  • Configure Azure OpenAI to use your own data
  • Use Azure OpenAI API to generate responses based on your own data

Prerequisites

  • Familiarity with Azure and the Azure portal.
  • An understanding of generative AI. You can learn more with Introduction to Azure OpenAI Service.
  • Before starting this module, we recommend you complete the previous modules in the Develop AI solutions with Azure OpenAI learning path.

This module is part of these learning paths

  • Develop Generative AI solutions with Azure OpenAI Service

Introduction

  • Understand how to use your own data
  • Add your own data source
  • Chat with your model using your own data
  • Exercise - Use your own data with Azure OpenAI Service
  • Knowledge check
  • Summary

Programme scope, delivery arrangements and suitability are confirmed during enquiry.