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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: 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
  • Date: 19-May-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
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  • Date: 30-Jun-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 ChatGPT, GPT, Codex, and Embeddings models. 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.

 

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 starting this one.
    • 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.

Topics

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
Generate code 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
Generate images with Azure OpenAI Service
  • Introduction
  • What is DALL-E?
  • Explore DALL-E in Azure AI Studio
  • Use the Azure OpenAI REST API to consume DALL-E models
  • Exercise - Generate images with a DALL-E model
Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
  • Introduction
  • Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
  • Add your own data source
  • Chat with your model using your own data
  • Exercise - Add your data for RAG with Azure OpenAI Service
Fundamentals of Responsible Generative AI
  • Introduction
  • Plan a responsible generative AI solution
  • Identify potential harms
  • Measure potential harms
  • Mitigate potential harms
  • Operate a responsible generative AI solution
  • Exercise - Explore content filters in Azure OpenAI
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