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

Advanced Level

Demonstrate your ability to design, architect, and govern enterprise‑grade agentic AI solutions using Microsoft Copilot, agents, and generative AI to automate business processes and deliver scalable, intelligent outcomes.

Agentic AI Business Solutions Architect (Exam AB‑100) is an expert‑level certification designed for solution architects and technical leaders who are responsible for designing and governing AI‑powered business solutions.

 

It validates your ability to architect enterprise‑grade AI systems that use agents, copilots, and generative AI to automate processes, improve decision‑making, and deliver scalable business outcomes.

 

This Microsoft certification would be a great fit if you’re an experienced solutions architect who specializes in designing and delivering AI-driven business solutions that transform organizations and foster innovation.

Design, plan, and deploy agentic AI‑powered business solutions using Microsoft Copilot, agents, and generative AI to automate processes and deliver scalable enterprise outcomes.

The AB‑100: Architecting Agentic AI Business Solutions course is designed for experienced architects and technical leaders who want to design and govern AI‑powered business solutions at enterprise scale.

 

This intensive 3‑day course focuses on building architectural thinking and strategic decision‑making to support planning, design, and deployment of agentic AI solutions using Microsoft platforms.

Completing this course equips learners with the ability to design, govern, and scale agentic AI business solutions that align with enterprise requirements, supporting readiness for certification and real‑world implementation.

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

Advanced

Dynamics 365, Microsoft Copilot, Microsoft Power Platform

100 minutes

AB-100: Agentic AI Business Solutions Architect

Solution Architect

English

$83 USD

What are the key skills measured:

Who is this for?

Position yourself to lead enterprise AI transformation by designing and governing agentic AI solutions that automate workflows, improve decision‑making, and deliver measurable business value.

Microsoft found that 46% of leaders say their organisations are using agents to fully automate workstreams or business processes, with customer service, marketing and product development among the leading investment areas.

Microsoft, 2025 Work Trend Index

Microsoft reports that 78% of leaders plan to hire for new AI roles as organisations redesign how work is performed.

At the same time, leaders expect their teams to be training agents (41%) and managing agents (36%) within five years.

Microsoft, 2025 Work Trend Index

Microsoft’s global research found that 51% of managers expect AI training or upskilling to become a key responsibility for their teams within five years. Meanwhile, 67% of leaders report being familiar or extremely familiar with agents, compared with only 40% of employees.

Microsoft, 2025 Work Trend Index

Architect Agentic AI Solutions

Validate your ability to move beyond individual AI applications and design agentic-first enterprise solutions, including multi-agent orchestration and cross-platform AI architectures.

Connect AI with Business Architecture

Develop the ability to translate complex business and technical requirements into AI architecture strategies spanning Dynamics 365, Power Platform, Copilot Studio, Microsoft Foundry and other enterprise services.

Design Secure and Governed AI

Build architecture expertise around model and data security, data residency, access controls, audit trails, prompt manipulation, responsible AI and compliance.

 

This is particularly important as agents gain greater access to organisational data and business processes.

Lead AI Transformation at Scale

AB-100 goes beyond technical architecture. Microsoft expects candidates to establish agentic roadmaps, guide implementation, define ALM and environment strategies, evaluate ROI and help organisations become AI-forward companies.

 

That makes the credential relevant to senior professionals moving from solution delivery into enterprise AI leadership.

Why choose Trainocate?

Train with Trainocate, a Microsoft training partner with 30+ years of technology training expertise, extensive Microsoft learning capabilities, 30+ authorized technology partnerships and a global training footprint spanning 24 countries.

 

As a Microsoft Solutions Partner and 2024 Microsoft Partner of the Year Training Services Award Finalist, Trainocate helps individuals and organizations develop practical, job-ready skills through Microsoft’s globally recognized certifications, Applied Skills, and role-based learning pathways.

Ready to architect AI solutions in 2026?

Complete the form below to register your interest.​

Frequently Asked Questions (FAQs)

It is a specialized professional recognition that validates your ability to design, architect, and govern enterprise scale agentic AI solutions, integrating agents, copilots, and generative AI to transform business processes across Microsoft platforms.

AB-100 is designed for experienced solution architects, senior consultants and technical leaders responsible for designing and governing enterprise AI solutions.

 

Microsoft’s official AB-100 training specifically targets architects, senior consultants and technical leaders responsible for planning, designing and governing AI-powered enterprise solutions.

 

This is not an entry-level AI certification.

The Microsoft Certified: Agentic AI Business Solutions Architect (Exam AB‑100) is designed for solution architects and technical leaders who will:

  • – Plan and analyse AI‑powered business solutions by identifying use cases, evaluating business requirements, and aligning AI strategies with organisational goals.
  • – Design enterprise‑grade agentic AI architectures using agents, copilots, and generative AI across Microsoft platforms such as Dynamics 365, Power Platform, and Azure AI.
  • – Deploy and govern AI‑powered solutions, including defining lifecycle management, ensuring scalability, and applying governance, security, and compliance practices.
  • – Apply responsible AI principles, monitor solution performance, and optimise outcomes to ensure reliable, secure, and business‑aligned AI systems.

 

These competencies are critical as organisations move from isolated AI implementations to fully integrated, enterprise‑scale AI systems that automate workflows and support decision‑making. The certification emphasises architectural thinking, governance, and end‑to‑end solution design to ensure AI solutions deliver measurable and sustainable business value.

 

Qualified candidates are expected to demonstrate expertise in architecting multi‑agent systems, integrating AI into enterprise platforms, and aligning AI solutions with business strategy using Microsoft technologies.

AB-100 is officially aligned to the Solution Architect role.

 

Relevant career directions include AI Solution Architect, Enterprise AI Architect, Business Applications Solution Architect, Agentic AI Architect, AI Transformation Architect and Principal Solution Architect.

 

A natural progression is:

Developer / Functional Consultant → Senior Consultant → Solution Architect → Agentic AI Business Solutions Architect → Enterprise AI Architect

Yes. Passing AB-100 alone is not currently sufficient to earn the certification.

 

Microsoft requires candidates to hold at least one qualifying prerequisite certification. Current options include credentials such as Azure AI Apps and Agents Developer Associate, AI Agent Builder Associate, Azure AI Engineer Associate, Power Platform Developer Associate and several Dynamics 365 Associate certifications.

 

This prerequisite structure reinforces AB-100’s positioning as an advanced architecture credential.

Yes. Security, responsible AI and governance are integral to the role.

 

Microsoft expects candidates to understand securing AI models and data workflows, access controls, data residency, model tuning protection, audit trails, prompt manipulation, responsible AI and agent monitoring.

 

This makes AB-100 particularly relevant to organisations moving agents from controlled pilots into business-critical processes.

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