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Architect AI solutions for business productivity

Discover how to design and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot. Gain the skills to analyze requirements and create innovative solutions that enhance productivity and efficiency.

At a glance

Item Value
Type Learning Path
Level Advanced
Role Solution Architect
Subjects Generative AI, Data analytics, Data management, Data engineering, Data integration
Modules 11
Products Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Microsoft Power Platform, Microsoft Copilot Studio, Dynamics 365

Prerequisites

  • Basic understanding of AI concepts.
  • Familiarity with business process analysis.
  • Knowledge of Microsoft tools and platforms.

Modules in this learning path

  1. Introduction to agentic AI business solutions -- align AI solutions with business goals and scale AI adoption using Microsoft technologies. (local | MS Learn)
  2. Analyze requirements for AI-powered business solutions -- analyze, design, and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot for productivity. (local | MS Learn)
  3. Design overall AI strategy for business solutions -- design an enterprise AI strategy using the Cloud Adoption Framework, aligning AI agent lifecycle with business goals for operational excellence. (local | MS Learn)
  4. Evaluate costs and benefits of AI solutions -- assess costs, benefits, and ROI of AI solutions while deciding whether to build, buy, or extend AI components for business processes. (local | MS Learn)
  5. Design AI agents for business solutions -- design AI agents tailored to business needs using Dynamics 365 and Copilot. (local | MS Learn)
  6. Design extensibility of AI solutions -- design scalable, secure, and customizable AI solutions using Microsoft platforms. (local | MS Learn)
  7. Orchestrate configuration of prebuilt agents and apps -- orchestrate, configure, and extend AI-driven experiences in Dynamics 365 and Microsoft 365 Copilot. (local | MS Learn)
  8. Monitor, analyze, and tune AI agents -- ensure AI agents operate reliably, deliver high-quality outcomes, and continuously improve in enterprise environments. (local | MS Learn)
  9. Manage testing AI-powered business solutions -- validate and maintain AI-powered business solutions with structured testing frameworks, metrics, and governance. (local | MS Learn)
  10. Design ALM process for AI-powered business solutions -- design ALM processes for AI solutions, ensuring governance, security, and consistency across environments. (local | MS Learn)
  11. Design responsible AI security, governance, risk management, and compliance -- design secure, governed, and compliant AI systems that align with organizational policies and Responsible AI principles. (local | MS Learn)

Related repository content

  • AB-100 exam objectives (canonical) -- verbatim Microsoft Learn skills-measured outline. The source of truth when this path content disagrees with exam scope.
  • AB-100 study resources -- curated study list. The path above is cross-referenced from the Microsoft Learn paths section.
  • Course plan -- April 2026 -- Tim Warner's 4-hour O'Reilly Live Learning course that maps these 11 modules to the AB-100 Plan, Design, and Deploy domains.

Path on Microsoft Learn

https://learn.microsoft.com/training/paths/architect-agentic-ai-business-solutions/