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Develop Generative AI Solutions with Azure OpenAI Service

Price
595 USD
1 Day
MOC-AI-050T00
Classroom Training, Online Training
Microsoft

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  • Date: 9-Sep-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Date: 21-Oct-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Date: 2-Dec-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Date: 13-Jan-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Date: 24-Feb-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Date: 7-Apr-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
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Course Description

Overview

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.

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. See https://learn.microsoft.com/legal/cognitive-services/openai/limited-access for details.
 

Objectives


 

Audience

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. Job role: AI Engineer, Data Scientist
 

Prerequisites

    Before starting this learning path, you should already have:
    • Familiarity with Azure and the Azure portal.
    • 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 taking this course.

Topics

Introduction to Azure OpenAI Service
  • Introduction
  • What is generative AI
  • Describe Azure OpenAI
  • How to use Azure OpenAI
  • Understand OpenAI's natural language capabilities
  • Understand OpenAI code generation capabilities
  • Understand OpenAI's image generation capabilities
  • Describe Azure OpenAI's access and responsible AI policies
  • Exercise - Explore Azure OpenAI Service
  • Knowledge check
Get started 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
Build natural language 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
Apply prompt engineering 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
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