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Copilot Foundations

Price
595 - 695 USD
1
MOC-AI-3018
Classroom Training, Online Training
Microsoft

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  • Date: 21-Apr-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Guaranteed to Run
    Date: 2-May-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: united
    Price: 695 USD
  • Date: 2-Jun-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Guaranteed to Run
    Date: 8-Jul-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: united
    Price: 695 USD
  • Date: 14-Jul-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Date: 25-Aug-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Date: 6-Oct-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
  • Date: 17-Nov-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 595 USD
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Course Description

Overview

Copilots are quickly becoming a popular way to use with AI models, automate tasks, and improve productivity. In this learning path, you'll explore options for adopting, using, and creating copilots.
Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Azure AI Studio brings these services together in a single unified experience for AI development on the Azure cloud platform.

Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio.
 

Objectives

After completing this learning path, students will be able to:
  • Understand generative AI's place in the development of artificial intelligence
  • Understand language models and their role in intelligent applications
  • Describe examples of copilots and good prompts
  • Create copilots
  • Test copilots
  • Analyze performance
  • Describe core features and capabilities of Azure AI Studio
  • Use Azure AI Studio to provision and manage an Azure AI resource
  • Use Azure AI Studio to create and manage an AI project
  • Understand when to use Azure AI Studio
  • Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
  • Index their data with Azure AI Search to make it searchable for language models
  • Build a copilot using RAG on their own data in the Azure AI Studio

Audience


 

Prerequisites

    Familiarity with Azure and the Azure portal.
     

Topics

Fundamentals of Generative AI
  • Introduction1 min
  • What is generative AI?
  • What are language models?
  • Using language models
  • What are copilots?
  • Microsoft Copilot
  • Considerations for Copilot prompts
  • Extending and developing copilots
  • Exercise - Explore Microsoft Copilot
  • Knowledge check
Get started with Microsoft Copilot Studio
  • Introduction
  • Get started working with environments
  • Create copilots and work with the Microsoft Copilot Studio interface
  • Create topics
  • Enhancing productivity with Generative AI
  • Test your copilots
  • Publish copilots and analyze performance
  • Exercise - Create a copilot with Copilot Studio
  • Check your knowledge
Introduction to Azure AI Studio
  • Introduction
  • What is Azure AI Studio?
  • How does Azure AI Studio work
  • When to use Azure AI Studio
  • Exercise - Explore Azure AI Studio
  • Knowledge check
Build a RAG-based copilot solution with your own data using Azure AI Studio
  • Introduction
  • Understand how to ground your language model
  • Make your data searchable
  • Build a copilot with prompt flow
  • Exercise - Create a custom copilot that uses your own data
  • Knowledge check
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