8781  Reviews star_rate star_rate star_rate star_rate star_half
$675USD
Duration 1 day
Course Code MS-4014
Available Formats Classroom

Overview

Course Description

Curious about building AI agents but not sure where to start? Introduction to building AI agents is a practical introduction to how AI agents work, what tools and services Microsoft offers for building them, and how to plan an agent solution before you start building. You'll explore what agents are and the business value they unlock, tour Microsoft's agent platform - including Copilot Studio, Microsoft Foundry, and the Microsoft 365 Agents Toolkit - and learn how to choose the right development approach, channels, grounding services, integrations, and governance posture for your scenario. After completing this course, you'll be prepared to translate a business problem into a complete agent design and development plan.

Audience Profile

Introduction to building AI agents is designed for builders and developers who want to build AI agents on Microsoft's agent platform. It's ideal for learners who are new to agent development or evaluating Microsoft's options, and who want to understand how to choose the right tools, ground and connect agents to their data and systems, and plan an agent solution end to end. Learners come from both low-code and pro-code backgrounds; no prior agent development experience is required.

Skills Gained

  • Understand what AI agents are, their core components, and impactful use cases
  • Explore Microsoft AI agent solutions to determine when to adopt, extend, or develop custom solutions
  • Identify and choose the best development options for extending Microsoft 365 Copilot with custom data, logic, and actions
  • Explore and compare development paths for building custom AI agents for internal use or commercial applications using various Microsoft tools and services

Prerequisites

  • Familiarity with Microsoft 365 Copilot
  • Basic knowledge of generative AI concepts (agent, model, orchestration, etc.)
  • Familiarity with core Microsoft Cloud platforms (Microsoft 365, Power Platform, and Azure)
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Course Details

Course Details

Outline

  • Introduction to developing AI agents
    • AI transformation and agents
    • AI agent use cases
    • AI agent components
    • Module assessment
  • Choose tools and services for your agent on Microsoft's agent platform
    • Explore agent development approaches and tools
    • Explore agent channels and publishing options
    • Explore Microsoft IQ grounding services
    • Explore agent integrations and multiagent solutions
    • Explore governance and identity for agents
    • Knowledge check
  • Plan an AI agent solution
    • Plan outcomes and success metrics
    • Plan data sources, workflow, and dependencies
    • Plan interaction patterns and channels
    • Plan identity, governance, security, and responsible AI
    • Module assessment

Introduction to Microsoft AI agent solutions

  • Explore Microsoft AI agent solutions and gain clarity on when to adopt, extend, or develop custom agent solutions based on your scenario and objectives.
  • The Microsoft AI agent ecosystem
  • Maximize Microsoft 365 Copilot, Copilot Chat, and agents
  • Customize and extend Microsoft 365 Copilot
  • Build custom AI agents and applications
  • Compare AI agent solutions

Choose the best Microsoft 365 Copilot extensibility path for your scenario

  • Explore development options for extending Microsoft 365 Copilot with custom data, logic, and actions. Determine the best approach for your scenario.
  • Identify extensibility options
  • Analyze the decision criteria
  • Extend Copilot's knowledge with Copilot connectors
  • Build declarative agents in Copilot Studio
  • Build declarative agents with Visual Studio Code and Microsoft 365 Agents Toolkit
  • Deploy custom agents to Microsoft 365 Copilot

Choose a custom AI agent development path

  • Explore development paths for building custom AI agents for internal use or commercial applications. Compare tools and services like Copilot Studio, Azure AI Foundry, Microsoft 365 Agents SDK, and Teams AI Library.
  • Identify custom AI agent development options
  • Analyze decision criteria
  • Build custom agents with Copilot Studio
  • Build custom engine agents for Microsoft Teams
  • Build multi-channel agent solutions with the Microsoft 365 Agents SDK
  • Build scalable, enterprise-grade generative AI solutions on Azure

Schedule

Upcoming Course Dates

There are currently no scheduled dates for this course. If you are interested in this course, contact us with the form below.

Contact Information
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FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

The tool provided to practice the course teachings is very functional and easy to use.

my experince was great from the day i regetered to the actuall day of the class.

I think the platform is very good and look forward to taking my next course in early October.

Instructor, Training material & span of the training is neatly planned.

You get detailed labs to guide you through the technical material giving you a hands on method of learning otherwise difficult material.