MyGK
Support
USA USA - English
Checkout

Cart () Loading...

    • Quantity:
    • Delivery:
    • Dates:
    • Location:

    $

Subtotal

$

Checkout

or Continue Shopping

Contact Sales
Course  
Contact Sales

Spring into Savings — Get 50% Off Your Second Course

Architecting agentic AI business solutions (AB-100)

Learn to design and deploy real‑world AI solutions using Azure’s prebuilt and customizable AI services.

This course is intended for experienced technology professionals who are responsible for planning, designing, and guiding AI-powered business solutions using Microsoft platforms. This course assumes familiarity with Microsoft business applications, cloud concepts, and solution architecture fundamentals. It is best suited for learners who want to deepen their architectural judgment, design decision-making, and enterprise readiness for agentic AI solutions—rather than those seeking step-by-step configuration guidance or exam preparation. Important Note: While this course aligns conceptually with many of the AB 100 exam skill areas, it is not a test-preparation course and does not focus on test-taking strategies. Instead, it provides the architectural foundations, enterprise context, and design reasoning that make AB 100 learning meaningful and applicable. For many learners, this course serves as a recommended preparatory step before beginning focused AB 100 exam study.

GK# 834122 Vendor# AB-100
Vendor Credits:
  • Global Knowledge Delivered Course
  • Training Exclusives
No matching courses available.
Start learning as soon as today! Click Add To Cart to continue shopping or Buy Now to check out immediately.
Access Period:
Scheduling a custom training event for your team is fast and easy! Click here to get started.
$
Your Selections:
Location:
Access Period:
No available dates
Add To Cart

BUY NOW

Request a quote

Who Should Attend?

This course is suitable for:

  • Solution Architects and Enterprise Architects designing intelligent and agent-based business solutions
  • Senior Functional and Technical Consultants working with Dynamics 365, Microsoft 365, Power Platform, or Azure AI services
  • AI and Digital Transformation Leads defining AI strategy, governance, and adoption across the organization
  • Application Architects and Technical Leads integrating agents, copilots, and generative AI into enterprise workloads
  • Experienced practitioners preparing to advance toward formal AI solution validation, seeking architectural depth rather than exam-focused instruction

What You'll Learn

By the end of this course, learners will be able to:

  • Analyze business requirements and identify suitable agentic AI use cases that align with organizational goals and measurable business outcomes.
  • Design end to end AI powered business solutions using agents, copilots, and generative AI across Microsoft platforms such as Copilot Studio, Power Platform, Dynamics 365, and Azure AI.
  • Architect multi agent and orchestrated AI solutions that integrate data, applications, and services securely and at enterprise scale.
  • Evaluate architectural trade offs, costs, and ROI when selecting AI technologies and deployment approaches for business solutions.
  • Apply governance, security, and responsible AI principles to ensure AI solutions are compliant, ethical, and production ready.
  • Plan deployment, monitoring, and lifecycle management for agentic AI solutions, including testing, ALM, and continuous optimization

Course Outline

Architect AI solutions for business productivity

Module 1 : Introduction to agentic AI business solutions

  • Drive AI transformation with architect strategies
  • Explore Microsoft AI technologies for business
  • Identify Microsoft AI technologies for business solutions
  • Identify out-of-box Microsoft AI agent resources for business solutions
  • Identify out-of-box Microsoft AI agents for business

Module 2:Analyze requirements for AI-powered business solutions

  • Assess the use of agents in task automation, data analytics, and decision-making
  • Review data for grounding accuracy, relevance, timeliness, cleanliness, and availability
  • Organize business solution data for AI systems

Module 3: Evaluate costs and benefits of AI solutions

  • Evaluate ROI criteria for AI-powered solutions
  • Create ROI analysis for a proposed AI solution
  • Analyze whether to build, buy, or extend AI components
  • Implement a model router to intelligently route requests to the most suitable model

Module 4: Manage testing AI-powered business solutions

  • Recommend process metrics for testing AI agents
  • Create validation criteria for custom AI models
  • Validate effective Copilot prompt best practices
  • Design end-to-end test scenarios for AI solutions using multiple Dynamics 365 apps
  • Build a strategy for creating test cases using Copilot

Module 5: Design extensibility of AI solutions

  • Design AI solutions with custom models in Microsoft Foundry
  • Design agents in Microsoft 365 Copilot
  • Design extensible agents in Microsoft Copilot Studio
  • Design extensible agents using MCP in Copilot Studio
  • Design agents to automate tasks in apps and websites with Computer Use in Copilot Studio
  • Design agent behaviors in Copilot Studio
  • Optimize solution design for agents in Microsoft 365

Module 6: Design responsible AI security, governance, risk management, and compliance

  • Design security agents for Microsoft clouds
  • Design governance models for AI agents
  • Design model security for responsible AI
  • Analyze AI vulnerabilities and mitigations for prompt manipulation
  • Review solution adherence to Responsible AI principles
  • Validate data residency and movement compliance
  • Design access controls for grounding data and model tuning
  • Design audit trails for changes to models and data
BUY NOW