Design intelligent business solutions powered by AI agents and copilots.

Learn how to architect agentic AI solutions that combine AI agents, copilots, automation, and business workflows to improve decision-making, productivity, and operational efficiency. Develop practical skills to identify business opportunities, design AI-enabled processes, and create scalable solutions that deliver measurable business value.

  • Why get trained: Gain the knowledge and frameworks needed to design AI-powered business solutions that integrate agents, copilots, and automation into real-world business processes.
  • Why it matters: Organizations are increasingly adopting agentic AI to automate complex tasks, enhance employee productivity, improve customer experiences, and accelerate business transformation initiatives.
  • Who should attend: Solution architects, business analysts, functional consultants, digital transformation leaders, enterprise architects, technology leaders, and professionals responsible for designing AI-enabled business solutions.

Accelerate AI transformation with AI skill building. Build the expertise to architect agentic AI solutions that drive innovation, productivity, and business outcomes. HRD Corp Claimable

Overview

Architecting agentic AI business solutions 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.

This course serves as a foundational, real-world, and architectural preparation step that builds the design judgment, strategic reasoning, and end-to-end understanding learners need before pursuing the AB‑100 exam or implementing agentic AI solutions at scale.

Learners will 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/benefit analysis, and lifecycle management, rather than step-by-step configuration.

Skills Covered

  • Plan AI-powered business solutions
  • Design AI-powered business solutions
  • Deploy AI-powered business solutions

Prerequisites

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

Target Audience

The ideal audience includes:

  • 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

Course Curriculum

Module 1: Introduction to Agentic AI Business Solutions

  • Learn to align AI solutions with business goals and scale AI adoption using Microsoft technologies.

Module 2: Analyze Requirements for AI-Powered Business Solutions

  • Learn to analyze, design, and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot for productivity.

Module 3: Design Overall AI Strategy for Business Solutions

  • Learn to design an enterprise AI strategy using Azure’s Cloud Adoption Framework, aligning AI agent lifecycle with business goals for operational excellence.

Module 4: Evaluate Costs and Benefits of AI Solutions

  • Learn to assess costs, benefits, and ROI of AI solutions while deciding whether to build, buy, or extend AI components for business processes.

Module 5: Design AI Agents for Business Solutions

  • Learn to design AI agents tailored to business needs using Dynamics 365 and Copilot.

Module 6: Design Extensibility of AI Solutions

  • Learn to design scalable, secure, and customizable AI solutions using Microsoft platforms.

Module 7: Orchestrate Configuration of Prebuilt Agents and Apps

  • Learn to orchestrate, configure, and extend AI-driven experiences in Dynamics 365 and Microsoft 365 Copilot.

Module 8: Monitor, Analyze, and Tune AI Agents

  • Learn to ensure AI agents operate reliably, deliver high-quality outcomes, and continuously improve in enterprise environments.

Module 9: Manage Testing AI-Powered Business Solutions

  • Learn to validate and maintain AI-powered business solutions with structured testing frameworks, metrics, and governance.

Module 10: Design ALM Process for AI-Powered Business Solutions

  • Learn to design ALM processes for AI solutions, ensuring governance, security, and consistency across environments.

Module 11: Design Responsible AI Security, Governance, Risk Management, and Compliance

  • Learn to design secure, governed, and compliant AI systems that align with organizational policies and Responsible AI principles.

Dates & Locations

Let’s make it work for you

Can’t find a date that fits? Need to train your whole team? Looking for a discount?
Speak to one of our learning experts today.

x Clear all selections

July 13, 2026 - July 15, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 373
RM 2800

July 13, 2026 - July 15, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 373
RM 2800

September 14, 2026 - September 16, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 373
RM 2800

September 14, 2026 - September 16, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 373
RM 2800

November 23, 2026 - November 25, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 373
RM 2800

November 23, 2026 - November 25, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 373
RM 2800
Trainocate exam and cert

Exam & Certification

Microsoft Certified: Agentic AI Business Solutions Architect

As an AI-first solution architect, you lead the transformation of enterprise operations by envisioning and implementing AI-powered architecture.

s an AI-first solution architect, you lead the transformation of enterprise operations by envisioning and implementing AI-powered architecture. With a focus on making the most of the full spectrum of Microsoft AI apps and services, along with business application tools, you drive innovation and help to ensure the delivery of impactful AI-powered solutions.

To become a Microsoft Certified: Agentic AI Business Solutions Architect, you must earn at least one of the following prerequisites:

  • Microsoft Certified: Azure AI Apps and Agents Developer Associate
  • Microsoft Certified: Dynamics 365 Business Central Developer Associate
  • Microsoft Certified: Dynamics 365 Business Central Functional Consultant Associate
  • Microsoft Certified: Dynamics 365 Customer Experience Analyst Associate
  • Microsoft Certified: Dynamics 365 Customer Service Functional Consultant Associate
  • Microsoft Certified: Dynamics 365 Field Service Functional Consultant Associate
  • Microsoft Certified: Dynamics 365 Finance Functional Consultant Associate
  • Microsoft Certified: Dynamics 365 Supply Chain Management Functional Consultant Associate
  • Microsoft Certified: Dynamics 365: Finance and Operations Apps Developer Associate
  • Microsoft Certified: Power Platform Functional Consultant Associate
  • Microsoft Certified: Power Platform Developer Associate
  • Microsoft Certified: Power Automate RPA Developer Associate
  • Microsoft Certified: Azure AI Engineer Associate

Training & Certification Guide

You will have 100 minutes to complete this assessment.

Exam policy

This exam will be proctored. You may have interactive components to complete as part of this exam. To learn more about exam duration and experience, visit: Exam duration and exam experience.

If you fail a certification exam, don’t worry. You can retake it 24 hours after the first attempt. For subsequent retakes, the amount of time varies. For full details, visit: Exam retake policy.

Assessed on this exam

  • Plan AI-powered business solutions
  • Design AI-powered business solutions
  • Deploy AI-powered business solutions

This certification is built for senior tech-strategic leaders. It is ideal for: 
  • Enterprise Solutions Architects: Professionals designing complex IT and AI system architectures.
  • Principal AI Consultants: Specialists advising corporations on how to structurally deploy multi-agent systems.
  • Prerequisites: Candidates should possess deep knowledge across the entire Microsoft portfolio, combining the strategic vision of an AI Transformation Leader (AB-731) with the practical execution skills of an AI Agent Builder (AB-620)

The AB-100 exam tests your ability to make critical high-level architectural choices, ensure compliance, and maximize return on investment (ROI). The core pillars include: 
1. Architecting Multi-Agent Orchestrations 
    • Designing communication structures for multi-agent systems using the Agent2Agent (A2A) protocol.
    • Determining when to route tasks to specific specialized agents vs. central orchestration hubs.
    • Mapping out autonomous background actions, loops, and validation gates for complex business workflows.

2. Enterprise Data Integration & Grounding
    • Architecting secure connections to Microsoft Fabric, Dataverse, and external enterprise resource planning (ERP) systems like SAP.
    • Designing semantic indexes and data ingestion pipelines to ensure AI models are perfectly grounded in corporate facts.

3. Security, Governance, & Scale 
  • Enforcing global data privacy boundaries using Microsoft Purview and Microsoft Entra ID.
  • Creating fail-safes and human-in-the-loop (HITL) checkpoints to maintain strict compliance with Responsible AI principles.
  • Structuring capacity management, monitoring system telemetry, and optimizing the cloud costs of large-scale AI usage

  • Exam Cod: AB-100
  • Level: Expert
  • Duration: 120 minutes
  • Passing Score: 700 / 1000FormatScenario-based case studies, design-pattern mapping, and multiple-choice questions

  • Envisioning and defining architecture strategies to integrate AI and agents into business solutions.
  • Defining the roadmap for agentic-first business processes.
  • Analyzing and interpreting business and technical requirements to architect comprehensive solutions.
  • Designing and prototyping AI components and showcasing transformative capabilities.
  • Guiding the end-to-end implementation of AI-centric solutions, helping to ensure security, scalability, and alignment with organizational goals.
  • Promoting and championing the adoption of AI technologies in the development lifecycle and across business units.
  • Creating a cohesive application lifecycle management (ALM) strategy for agentic-first solutions.
  • Creating a cohesive environment strategy for AI-powered solutions, with consideration for third-party AI solutions.
  • Guiding organizations on their way to becoming AI-forward companies.

Frequently Asked Questions

AB-100T00 teaches you how to design agentic AI solutions that transform business processes.

This course focuses on architecting AI systems that use intelligent agents to automate workflows, improve decision-making, and drive business value. It emphasizes aligning AI capabilities with enterprise needs.

Key learning areas:

  • Agentic AI architecture
  • Business process transformation with AI
  • AI solution design and orchestration
  • Governance and responsible AI

Pro Tip: Focus on business impact, not just technology. AI architects are valued for solving real business problems.

Agentic AI refers to AI systems that can act autonomously to complete tasks and make decisions.

Unlike traditional AI models that respond to prompts, agentic AI systems can plan, execute, and adapt actions across workflows. This enables automation of complex business processes.

Why it matters:

  • Automates multi-step workflows
  • Enhances productivity and decision-making
  • Enables intelligent enterprise systems
  • Reduces manual intervention

Pro Tip: Understanding how AI agents interact with systems and data is key to designing scalable solutions.

It is designed for architects, technical leaders, and decision-makers driving AI adoption.

This course targets professionals responsible for designing and implementing AI strategies within organizations.

Best suited for:

  • Enterprise architects
  • Solution architects
  • CTOs and technical leaders
  • AI strategy and transformation leads

Pro Tip: If your role involves decision-making or system design, this course helps you lead AI initiatives effectively.

You will learn how to design and implement enterprise-grade AI solutions using agentic architectures.

The course focuses on strategic and architectural skills required to deploy AI systems at scale across organizations.

Skills gained:

  • Designing agent-based AI systems
  • Aligning AI with business processes
  • Architecting scalable AI solutions
  • Implementing governance and compliance

Pro Tip: Focus on architecture diagrams and use cases. These are critical for communicating AI strategies to stakeholders.

AB-100 focuses on AI strategy and architecture, while AI-103 and AI-300 focus on building and operating AI systems.

These courses represent different layers of the AI stack.

Key differences:

  • AB-100T00:
    • Focus: AI architecture and business transformation
    • Role: AI Architect / Strategic Leader
  • AI-103T00:
    • Focus: Building AI apps and agents
    • Role: AI Developer
  • AI-300T00:
    • Focus: Operationalizing AI systems (MLOps/GenAIOps)
    • Role: AI Operations / MLOps Engineer

Pro Tip: If you aim to lead AI initiatives, start with AB-100. If you want hands-on skills, combine it with AI-103 or AI-300.

It prepares you for leadership roles in AI architecture and digital transformation.

As organizations adopt AI, there is growing demand for professionals who can design and lead AI initiatives at scale.

Relevant roles:

  • AI Architect
  • Enterprise Architect (AI)
  • Chief AI Officer / AI Strategy Lead
  • Digital Transformation Leader

Pro Tip: Combine technical knowledge with business understanding. This combination is critical for leadership roles in AI.

Agentic AI solutions automate workflows, improve efficiency, and enable smarter decision-making.

By deploying AI agents, organizations can streamline operations, reduce costs, and enhance customer experiences. These systems can operate autonomously while continuously learning and improving.

Business benefits:

  • Increased operational efficiency
  • Faster decision-making
  • Improved customer engagement
  • Scalable automation

Pro Tip: When evaluating AI solutions, focus on measurable outcomes such as time saved, cost reduction, or revenue impact.

Speak to a Training Consultant

All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631

Preferred mode of training
Checkboxes