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

Name: AI-050: Develop Generative AI Solutions with Azure OpenAI Service
Brand: Microsoft

RM1,200.00

Unlock the potential of generative AI solutions with our comprehensive training course on Developing Generative AI Solutions with Azure OpenAI Service. In a rapidly evolving field like generative AI, staying ahead requires constant learning and adaptation. Our course ensures that participants are equipped with the latest knowledge and skills to harness the power of Azure OpenAI Service effectively. With hands-on labs and expert guidance, you'll learn how to provision the Azure OpenAI service, deploy models, and utilize them in various generative AI applications. Whether you're a seasoned developer or just starting out, this course caters to all skill levels and provides invaluable insights into the world of generative AI. Enroll now to stay ahead of the curve and unlock new possibilities with Azure OpenAI Service!

Training Duration: 1 Day

Certificate Of Completion Available
Group Private Class
VILT Class Available
SBL-Khas Claimable

Download Course Outline

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.

To complete the hands-on labs in this course, students require an Azure subscription that has been approved for access to the Azure OpenAI service. Access approval can take several days to be granted.

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.
Upon successful completion of this course, participant will be able to:

use various features in Power Query to shape and transform data.

create data model in PowerPivot.

create PivotTable and PivotChart from PowerPivot for data analysis by using the features in PowerPivot (Relationships, Hierarchies, KPI)
Module 1 : Get Started with 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

Module 2 : 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

Module 3 : 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
Module 4 : 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

Module 5 : 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

Module 6 : 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

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

WHAT WILL YOU LEARN

OBJECTIVES

PREREQUISITES

AUDIENCE

COURSE MODULE

COURSE MODULE

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