Microsoft Certified: Agentic AI Business Solutions Architect (AB-100)

As an AI-first solution architect, you lead the transformation of enterprise operations by envisioning and implementing AI-powered architecture.
You’re experienced in creating scalable, secure, and integrated solutions that use multiple Microsoft services to address complex organisational challenges.
Training Overview
As a candidate for this certification, you’re an accomplished solution architect with expertise in designing and delivering AI-driven business solutions that transform business processes and foster innovation.
Your competencies include:
Expertise in architecting solutions that use AI, including generative AI and various Foundry Tools tailored to meet business objectives.
The ability to design agentic-first solutions.
Skills in designing multi-agent orchestrated solutions.
Experience designing secure and scalable cross-platform AI solutions.
Comprehensive knowledge of core Dynamics 365 products, Microsoft Power Platform, Microsoft Copilot Studio, Microsoft Foundry Tools, and Foundry Models.
Proficiency in working with agents created by using Copilot Studio, AI prompts, Microsoft Foundry, and working knowledge of multiple language models to create intelligent solutions.
Proficiency in adopting frameworks and delivering measurable outcomes aligned with enterprise success metrics and architecture patterns.
Expertise in working with open standards and protocols, including Agent2Agent (A2A) and Model Context Protocol (MCP).
Expertise in responsible AI practices, helping to ensure compliance and advocating for the Microsoft responsible AI guidelines.
Strong leadership in orchestrating AI features in Microsoft business applications to optimise operations and unlock growth opportunities.
Course Agenda
Analyse requirements for AI-powered business solutions.
Assess the use of agents in task automation, data analytics, and decision-making.
Review data for grounding, including accuracy, relevance, timeliness, cleanliness, and availability.
Organise business solution data to be available for other AI systems.
Design an overall AI strategy for business solutions.
Implement the AI adoption process from the Cloud Adoption Framework for Azure.
Design the strategy for building AI and agents in business solutions.
Design a multi-agent solution by using platforms such as Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry.
Develop the use cases for prebuilt agents in the solution.
Define the solution rules and constraints when building AI components with Copilot Studio, Microsoft Foundry and Foundry Tools.
Determine the use of generative AI and knowledge sources in agents built with Copilot Studio.
Determine when to build custom agents or extend Microsoft 365 Copilot.
Determine when custom AI models should be created.
Provide guidelines for creating a prompt library.
Develop the use cases for customised small language models for the solution.
Provide prompt engineering guidelines and techniques for AI-powered business solutions.
Include the elements of the Microsoft AI Centre of Excellence.
Design AI solutions that use multiple Dynamics 365 apps
Evaluate the costs and benefits of an AI-powered business solution.
Select ROI criteria for AI-powered business solutions, including the total cost of ownership
