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Agentic AI Business Solutions Architect -  AB-100
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Agentic AI Business Solutions Architect - AB-100

About this course

The Agentic AI Business Solutions Architect - AB-100 certification is designed for professionals who plan, design, and evaluate AI-powered business solutions that leverage intelligent agents. Based on Microsoft’s certification focus, this exam validates the ability to analyze business requirements, assess agent-based architectures, ensure data readiness for AI grounding, and design scalable, interoperable AI solutions.Candidates are expected to understand how AI agents support task automation, data analytics, and decision-making, while ensuring that data is accurate, relevant, secure, and accessible across systems. The certification emphasizes strategic planning, solution design, and responsible AI implementation rather than model developmentBy the end of this course, students will be able to:Analyze and translate business requirements into agentic AI solution architectures that support automation, analytics, and decision-making scenarios.Evaluate the role of AI agents in orchestrating workflows, augmenting human decisions, and integrating across enterprise systems.Assess and prepare data for AI grounding, ensuring quality attributes such as accuracy, relevance, timeliness, cleanliness, and availability.Design data architectures that enable interoperability, allowing AI systems to securely share, reuse, and scale data across business solutionsThis course is ideal for:AI Solution Architects and Cloud Architects designing AI-powered systemsBusiness and Technology Consultants advising on AI transformation strategiesEnterprise Architects planning system integration and data strategiesTechnical Business Analysts translating requirements into AI solutions

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What you'll learn

  • Analyze and translate business requirements into AI solution architectures
  • Evaluate the role of AI agents in orchestrating workflows and augmenting human decisions
  • Assess and prepare data for AI grounding
  • Design data architectures that enable interoperability among AI systems
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