Architecting Agentic AI Business Solutions (AB-100T00)

Course Duration

3 Days

Audience

Employees of federal, state and local governments; and businesses working with the government.

Prerequisites

Familiarity with Microsoft business applications, cloud concepts, and solution architecture fundamentals.

Course Description

Architecting Agentic AI Business Solutions (AB-100T00) is an advanced course for architects, senior consultants, and technical leaders responsible for planning, designing, and governing AI-powered enterprise solutions built on Microsoft platforms. Learners explore how to architect AI-powered business solutions that use agents, copilots, and generative AI to automate tasks, improve decision-making, and enhance employee and customer experiences. Emphasis is placed on architecture, trade-offs, governance, cost and benefit analysis, and lifecycle management — rather than step-by-step configuration.

Learning Objectives

• Architect AI-powered enterprise solutions using Microsoft agents, copilots, and generative AI
• Evaluate and apply Microsoft AI technologies for business automation and decision support
• Assess and organize organizational data for AI grounding, accuracy, and relevance
• Design governance frameworks and lifecycle management strategies for agentic AI solutions
• Analyze trade-offs and cost/benefit considerations for enterprise AI architecture decisions
• Design end-to-end test scenarios and validation criteria for AI-powered business solutions

Course Outline

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: Manage Testing of 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

Frequently Asked Questions