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

Kód kurzu: NP463

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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.

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: Na vyžiadanie

Garantovaný

Forma: Self-Paced

Dĺžka kurzu: 8 hodín

Jazyk: en

Cena bez DPH: 285 EUR

Registrovať

Počiatočný dátum: Na vyžiadanie

Garantovaný

Forma: Self-Paced

Dĺžka kurzu: 8 hodín

Jazyk: en

Cena bez DPH: 75 EUR

Registrovať

Počiatočný
dátum
Miesto
konania
Forma Dĺžka
kurzu
Jazyk Cena bez DPH
G Na vyžiadanie Self-Paced 8 hodín en 285 EUR Registrovať
G Na vyžiadanie Self-Paced 8 hodín en 75 EUR Registrovať
G Garantovaný kurz

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Kontakt

Popis kurzu

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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.

Štruktúra kurzu

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"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

Predpokladané znalosti

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  • 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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