
Master multi-agent design, Copilot Studio, Dynamics 365 AI orchestration & responsible AI governance to pass the AB-100
π₯ 9 students
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- Course Overview
- The AB-100 Microsoft Agentic AI Business Solutions Architect course is a comprehensive deep dive into the next evolution of artificial intelligence: the transition from passive chat interfaces to autonomous agentic systems. This program focuses on the strategic architecture required to build, deploy, and manage AI agents that can reason, plan, and execute complex business tasks within the Microsoft ecosystem. Participants will explore the theoretical foundations of multi-agent systems (MAS) and learn how to translate high-level business requirements into technical blueprints. The curriculum emphasizes the orchestration of AI across multiple departments, ensuring that agents are not siloed but integrated into a cohesive, goal-oriented digital workforce. By focusing on the role of the Solutions Architect, the course bridges the gap between raw LLM capabilities and tangible enterprise-grade productivity.
- Students will examine the nuances of agentic reasoning, learning how to configure systems that can determine the best course of action when faced with ambiguous prompts. The training covers the lifecycle management of AI agents, from initial discovery and design to deployment and continuous optimization. You will analyze real-world case studies involving autonomous supply chain management, automated customer journey orchestration, and proactive IT operations. This course is specifically designed to prepare professionals for the AB-100 examination, ensuring they possess the specialized knowledge to lead AI transformation initiatives at scale.
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- Requirements / Prerequisites
- Prospective students should have a solid foundational understanding of Microsoft Azure and its core cloud infrastructure components. A high degree of familiarity with Power Platform services, particularly Power Automate and Power Apps, is highly beneficial as these serve as the primary connective tissue for agentic workflows. Candidates should possess a working knowledge of Generative AI concepts, including the mechanics of Large Language Models (LLMs) and basic prompt engineering techniques.
- Experience with low-code/no-code development environments is recommended, though an understanding of API integration and JSON data structures will be advantageous for advanced customization modules. A mindset geared toward systems thinking and business process optimization is critical, as the course focuses more on architectural logic than basic programming. While deep coding skills are not a hard requirement, the ability to navigate Azure OpenAI Studio and understand technical documentation is essential for success in this certification track.
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- Skills Covered / Tools Used
- Architecting custom agents using Microsoft Copilot Studio to handle sophisticated multi-turn conversations and task execution.
- Leveraging Azure OpenAI Service to implement advanced reasoning models and GPT-4o capabilities within enterprise applications.
- Utilizing Semantic Kernel as an orchestration layer to facilitate memory management, tool-calling, and plugin integration for AI agents.
- Designing complex multi-agent workflows where specialized agents collaborate to solve high-order business problems using Microsoft AutoGen concepts.
- Integrating Microsoft Dynamics 365 with AI agents to automate sales forecasting, lead qualification, and personalized marketing at scale.
- Developing robust Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search and OneLake for grounded AI responses.
- Implementing Responsible AI Governance frameworks using the Responsible AI Dashboard to ensure fairness, transparency, and data privacy.
- Managing Dataverse integration to provide agents with secure, real-time access to critical business data while maintaining strict RBAC (Role-Based Access Control).
- Using Azure Prompt Flow to test, evaluate, and iterate on agentic logic and prompt reliability before production deployment.
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- Benefits / Outcomes
- Gain the prestige of being a certified Microsoft Agentic AI Solutions Architect, a high-demand role in the modern AI-driven economy.
- Acquire the ability to build self-correcting workflows that reduce human intervention in repetitive administrative and operational tasks.
- Master the art of AI governance, allowing you to deploy autonomous systems that comply with international safety and ethical standards.
- Develop a comprehensive AI implementation roadmap that can be presented to stakeholders to secure buy-in for digital transformation projects.
- Unlock the potential of Dynamics 365 AI Orchestration, turning traditional CRM and ERP systems into proactive, intelligent business engines.
- Transition from a standard developer or consultant role into a strategic leadership position focused on the cutting edge of Enterprise AI.
- Ensure complete readiness for the AB-100 certification exam through rigorous architectural drills and practical lab scenarios.
- Empower your organization to scale operations without proportional increases in headcount by deploying a digital workforce of AI agents.
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- PROS
- Offers a future-proof skill set by focusing on autonomous agents, which are widely considered the “next frontier” after simple generative chat.
- Provides deep vertical integration with the Microsoft stack, making it immediately applicable for enterprises already utilizing Azure and Microsoft 365.
- Focuses heavily on business logic and architecture, providing value to both technical leads and strategic decision-makers.
- The curriculum includes Responsible AI as a core pillar, ensuring that architects build safe and sustainable business solutions.
- CONS
- The fast-moving nature of AI means that learners must commit to continuous self-study as Microsoft frequently updates the Copilot and Azure AI feature sets post-certification.
Learning Tracks: English,IT & Software,IT Certifications
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