Course
digicode: AB100
Architecting Agentic AI Business Solutions – Intensive Training (AB-100)
AB-100
Course facts
Download as PDF- Driving AI adoption by defining the architect's role and aligning solutions with organizational goals
- Evaluating data quality (accuracy, relevance) for AI readiness and scalable consumption
- Defining ROI criteria, total cost of ownership (TCO), and strategic build/buy/extend decisions
- Implementing structured testing processes and validation criteria for performance and compliance
- Securing AI agents through identity control, data governance, and threat protection
- Exploring the business value of Copilot/Generative AI in enhancing enterprise productivity
- Applying model routing strategies to scale AI and optimizing performance and cost
- Assessing where AI agents add measurable value in task automation and decision-making
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.
1 Introduction to agentic AI business solutions
Learn to align AI solutions with business goals and scale AI adoption using Microsoft technologies.
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.
3 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.
4 Manage testing AI-powered business solutions
Learn to validate and maintain AI-powered business solutions with structured testing frameworks, metrics, and governance.
5 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.
This course is intended for experienced technology professionals who are responsible for planning, designing, and guiding AI-powered business solutions using Microsoft platforms. This course assumes familiarity with Microsoft business applications, cloud concepts, and solution architecture fundamentals. It is best suited for learners who want to deepen their architectural judgment, design decision-making, and enterprise readiness for agentic AI solutions – rather than those seeking step-by-step configuration guidance or exam preparation.
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
Important note: While this course aligns conceptually with many of the AB‑100 exam skill areas, it is not a test-preparation course and does not focus on test-taking strategies. Instead, it provides the architectural foundations, enterprise context, and design reasoning that make AB‑100 learning meaningful and applicable. For many learners, this course serves as a recommended preparatory step before beginning focused AB‑100 exam study.