Agentic AI Business Solutions Architect AB-100 Course - Hong Kong

Agentic AI Business Solutions Architect AB-100 Course Outline

Module 1: Plan AI-Powered Business Solutions

• 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 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
  • Create an ROI Analysis for the Proposed AI Solution for a Business Process
  • Analyse whether to Build, Buy, or Extend AI Components for Business Solutions
  • Implement a Model Router to Intelligently Route Requests to the Most Suitable Model

Module 2: Design AI-Powered Business Solutions

• Design AI and Agents for Business Solutions
  • Design Business Terms for Copilot in Dynamics 365 Apps for Customer Experience and Service
  • Design Customisations of Copilot in Dynamics 365 apps for Customer Experience and Service
  • Design Connectors for Copilot in Dynamics 365 Sales
  • Design Agents for Integration with Dynamics 365 Contact Centre Channels
  • Design Task Agents
  • Design Autonomous Agents
  • Design Prompt and Response Agents
  • Propose Foundry Tools for a Given Requirement
  • Propose Code-First Generative Pages and the use of an Agent Feed for Apps
  • Design Topics for Copilot Studio, including Fallback
  • Design Data Processing for AI Models and Grounding
  • Design a Business Process to include AI Components in a Power Apps Canvas App
  • Apply the Microsoft Power Platform Well-Architected Framework to Intelligent Application Workloads
  • Determine when to use Standard Natural Language Processing, Azure Conversational Language Understanding, or Generative AI Orchestration in Copilot Studio
  • Design Agents and Agent Flows with Copilot Studio
  • Design Prompt Actions in Copilot Studio
• Design Extensibility of AI Solutions
  • Design AI Solutions by using Custom Models in Microsoft Foundry
  • Design Agents in Microsoft 365 Copilot
  • Design Agent Extensibility in Copilot Studio
  • Design Agent Extensibility with Model Context Protocol in Copilot Studio
  • Design Agents to Automate Tasks in Apps and Websites by using Computer Use in Copilot Studio
  • Design Agent Behaviours in Copilot Studio, including Reasoning and Voice Mode
  • Optimise Solution Design by using Agents in Microsoft 365, including Teams and SharePoint
• Orchestrate Configuration for Prebuilt Agents and Apps
  • Orchestrate AI Features in Dynamics 365 Apps for Finance and Supply Chain
  • Orchestrate AI Features in Dynamics 365 Apps for Customer Experience and Service
  • Propose Microsoft 365 Agents for Business Scenarios
  • Orchestrate the Configuration of Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service
  • Propose Microsoft Power Platform AI Features, including AI Hub
  • Design Interoperability of the Finance and Operations Agent Chats to use Additional Knowledge Sources
  • Recommend the Process of Adding Knowledge Sources to in-app help and Guidance for Dynamics 365 Finance or Dynamics 365 Supply Chain Management Apps

Module 3: Deploy AI-Powered Business Solutions

• Analyse, Monitor, and Tune AI-Powered Business Solutions
  • Recommend the Process and Tools Required for Monitoring Agents
  • Analyse Backlog and User Feedback of AI and Agent Usage
  • Apply AI-Based Tools to Analyse and Identify Issues and Perform Tuning
  • Monitor Agent Performance and Metrics
  • Interpret Telemetry Data for Performance and Model Tuning
• Manage the Testing of AI-Powered Business Solutions
  • Recommend the Process and Metrics to Test Agents
  • Create Validation Criteria of Custom AI Models
  • Validate Effective Copilot Prompt Best Practices
  • Design end-to-end Test Scenarios of AI Solutions that use Multiple Dynamics 365 Apps
  • Build the Strategy for Creating Test Cases by using Copilot
• Design the ALM Process for AI-Powered Business Solutions
  • Design the ALM process for Data used in AI Models and Agents
  • Design the ALM process for Copilot Studio Agents, Connectors, and Actions
  • Design the ALM Process for Microsoft Foundry Agents
  • Design the ALM Process for Custom AI Models
  • Design the ALM Process for AI in Dynamics 365 Apps for Finance and Supply Chain
  • Design the ALM Process for AI in Dynamics 365 Apps for Customer Experience and Service
• Design Responsible AI, Security, Governance, Risk Management, and Compliance
  • Design Security for Agents
  • Design Governance for Agents
  • Design Model Security
  • Analyse Solution and AI Vulnerabilities and Mitigations, including Prompt Manipulation
  • Review Solution for Adherence to Responsible AI Principles
  • Validate Data Residency and Movement Compliance
  • Design Access Controls on Grounding Data and Model Tuning
  • Design Audit Trails for Changes to Models and Data

Who Should Attend This Agentic AI Business Solutions Architect AB-100 Course?

The Agentic AI Business Solutions Architect AB-100 Course is designed to equip professionals with the skills needed to design, implement, and manage AI-powered business solutions. This course is particularly valuable for the following professionals:

• Solution Architects
• AI/ML Engineers
• Business Analysts
• IT Strategists
• Digital Transformation Leads
• Technology Consultants
• Enterprise Architects
• Data & AI Practitioners

Prerequisites of the Agentic AI Business Solutions Architect AB-100 Course

There are no formal prerequisites for attending this training course. However, it is intended for experienced professionals familiar with Microsoft business applications and solution architecture fundamentals.

Agentic AI Business Solutions Architect AB-100 Course Overview 

This Agentic AI Business Solutions Architect AB-100 training introduces the core principles of architecting agentic AI business solutions using Microsoft technologies. It shows how agents, copilots, and generative AI streamline processes and decisions.

Delegates gain practical insights into designing scalable and secure AI‑powered solutions that support organisational innovation. The course explores governance practices, architectural trade‑offs, and lifecycle management to strengthen solution‑design judgement.

Delivered over 3-Days by The Knowledge Academy, this course offers a focused and immersive learning experience. Its structure ensures clear coverage of essential architectural concepts and real‑world enterprise considerations.

Agentic AI Business Solutions Architect AB-100 Course Objectives

• To understand agentic AI principles using Microsoft technologies
• To design scalable, secure, enterprise‑ready AI solutions
• To analyse business requirements for appropriate AI components
• To apply governance and responsible AI for compliance
• To manage design trade‑offs aligned with organisational goals
• To communicate AI solution value across enterprise contexts

Upon completing this course, delegates will have gained the architectural mindset, analytical capability, and structured design approach required to support organisations in adopting agentic AI solutions effectively and delivering high‑value business outcomes.

What’s Included in this Agentic AI Business Solutions Architect AB-100 Course?

• World-Class Training Sessions from Experienced Instructors
• Digital Delegate Pack
• Interactive Learning with 24*7 Support

You’ll also get access to the MyTKA Training Portal, which will be your go to hub for all your training.
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.