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MS-4014: Build a foundation to build AI agents and extend Microsoft 365 Copilot

Course code: NP463

This beginner-level learning path guides you through the fundamentals of extending Microsoft 365 Copilot using Copilot Studio, Azure AI Foundry, and the Microsoft 365 Agents Toolkit. You'll learn what AI agents are, how they work, and when to use them to enhance productivity and business processes. Explore various development paths—from no-code to pro-code—choosing the right tools like Graph connectors or declarative/custom agents. The course also covers deploying agents, integrating data, and managing them within Microsoft 365. By the end, you’ll be equipped to design and implement AI-powered extensions that enhance collaboration and automate tasks.
75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

Define AI Agents and Their Business Value

Understand what AI agents are and how they drive impact across business scenarios.

Identify Scenarios for Extending Copilot

Explore use cases and development paths for customizing Copilot functionality.

Compare Extension Options

Evaluate connectors, declarative agents, and custom engine agents for different needs.

Configure Graph Connectors and Semantic Search

Set up data access and enhance discoverability using Microsoft Graph.

Course structure

"Module 1: Introduction to developing AI agents "

  • 1.1.1 Introduction
  • 1.1.2 AI transformation and agents
  • 1.1.3 AI agent use cases
  • 1.1.4 AI agent components
  • 1.1.5 Summary

"Module 2: Introduction to Microsoft AI agent solutions "

  • 1.2.1 Introduction
  • 1.2.2 The Microsoft AI agent ecosystem
  • 1.2.3 Maximize Microsoft 365 Copilot, Copilot Chat, and agents
  • 1.2.4 Customize and extend Microsoft 365 Copilot
  • 1.2.5 Build custom AI agents and applications
  • 1.2.6 Compare AI agent solutions
  • 1.2.7 Summary

"Module 3: Choose the best Microsoft 365 Copilot extensibility path for your scenario "

  • 1.3.1 Introduction
  • 1.3.2 Identify extensibility options
  • 1.3.3 Analyze the decision criteria
  • 1.3.4 Extend Copilot’s knowledge with Copilot connectors
  • 1.3.5 Build declarative agents in Copilot Studio
  • 1.3.6 Build declarative agents with Visual Studio Code and Microsoft 365 Agents Toolkit
  • 1.3.7 Deploy custom agents to Microsoft 365 Copilot
  • 1.3.8 Summary

"Module 4: Choose a custom AI agent development path "

  • 1.4.1 Introduction
  • 1.4.2 Identify custom AI agent development options
  • 1.4.3 Analyze decision criteria
  • 1.4.4 Build custom agents with Copilot Studio
  • 1.4.5 Build custom engine agents for Microsoft Teams
  • 1.4.6 Build multi-channel agent solutions with the Microsoft 365 Agents SDK
  • 1.4.7 Build scalable, enterprise-grade generative AI solutions on Azure
  • 1.4.8 Summary
  • 1.4.9 UseCase 1:Creating an Internal AI Assistant for Employee Task Automation
  • 1.4.0 CaseStudy1:ServiceNow’s Multi-Agent AI Collaboration

Prerequisites

  • Familiarity with Microsoft 365 Copilot
  • Basic understanding of generative AI concepts (agents, models, orchestration)
  • Awareness of core Microsoft Cloud platforms (Microsoft 365, Power Platform, Azure)

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