Architecting Agentic AI Business Solutions is an advanced course designed for architects, senior consultants, and technical leaders responsible for planning, designing, and governing AI-powered enterprise solutions on Microsoft platforms.
This course builds the architectural judgment and end-to-end perspective needed to design and implement agentic AI solutions at scale, while also serving as a strong preparation step for the AB-100 exam.
Learners will explore how to design AI-driven business solutions that leverage agents, copilots, and generative AI to automate workflows, enhance decision-making, and improve employee and customer experiences.
The course emphasises architectural thinking—focusing on design trade-offs, governance, cost-benefit analysis, and lifecycle management—rather than step-by-step configuration.
Agentic AI Architecture Training Delivery Methods
Agentic AI Architecture Training Information
Course Benefits
- Learn how to align AI-powered solutions with business goals and organisational strategy
- Understand how to analyse requirements and design solutions using agents and generative AI
- Evaluate costs, benefits, and ROI for AI initiatives, including build vs. buy decisions
- Implement structured testing and validation strategies for AI-powered systems
- Design scalable and extensible AI solutions using Microsoft platforms
- Apply responsible AI principles, including security, governance, and compliance
Prerequisites
- Attendees should have a foundational understanding of AI concepts, including generative AI and basic machine learning principles. Familiarity with business process analysis and solution design is recommended.
- Experience with Microsoft tools such as Microsoft 365, Power Platform, or Dynamics 365 will be helpful but is not required. This course is intended for learners who are comfortable working with structured information and evaluating technology solutions from both a business and technical perspective.
Exam Information
Who should attend:
- Solution architects and technical leads designing AI-powered systems
- Consultants and professionals responsible for digital transformation initiatives
- IT and business stakeholders involved in AI strategy and implementation
- Developers and engineers supporting AI-enabled business solutions
Agentic AI Architecture Training Outline
Introduction to AI Business Solutions
- Align AI solutions with business goals and transformation strategies
- Explore Microsoft AI technologies for enterprise use cases
- Identify pre-built AI agents and resources for business applications
Analysing Requirements for AI Solutions
- Assess the use of AI agents in automation, analytics, and decision-making
- Evaluate data readiness, including accuracy, relevance, and availability
- Organise and structure data for AI-powered systems
Evaluating Costs and Benefits
- Define and measure ROI for AI-powered solutions
- Compare build, buy, or extend approaches for AI components
- Design strategies for optimising model usage and routing
Testing and Validation of AI Solutions
- Define metrics and frameworks for testing AI agents
- Create validation criteria for models and prompts
- Design end-to-end testing strategies across business applications
Designing Extensible AI Solutions
- Design AI solutions using Microsoft platforms and custom models
- Develop and extend agents using Microsoft Copilot and Copilot Studio
- Optimise solution architecture for scalability and maintainability
Responsible AI, Security, and Governance
- Design AI systems aligned with responsible AI principles
- Implement security, access control, and compliance strategies
- Monitor risks, vulnerabilities, and governance requirements
