Agentic AI Strategy & Solution Planning

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Agentic AI Strategy & Solution Planning

This course is part of Microsoft Agentic AI Business Solutions Architect Professional Certificate

Instructor: Microsoft

Included with Learn more

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

What you'll learn

Explain agentic AI concepts and map the Microsoft AI ecosystem to identify the right platform components for enterprise scenarios.
Conduct enterprise requirements analysis and assess data readiness for AI agent use cases.
Design an enterprise AI adoption strategy using the Cloud Adoption Framework and AI Center of Excellence model.
Model the ROI and TCO of agentic AI initiatives to build a defensible business case.

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Shareable certificate

Add to your LinkedIn profile

Taught in English

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Build your Software Development expertise

This course is part of the Microsoft Agentic AI Business Solutions Architect Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Microsoft

There is 1 module in this course

Agentic AI is reshaping how enterprises automate decisions, retrieve knowledge, and orchestrate complex workflows. This course gives you the strategic and architectural foundation to lead that transformation using Microsoft's AI platform.

You'll explore core agentic AI concepts, map the full Microsoft ecosystem—including Copilot Studio, Microsoft Foundry, Microsoft 365 Copilot, Dynamics 365, and Power Platform—and apply structured frameworks to determine when to build, buy, or extend AI solutions. You'll assess enterprise data readiness, identify high-value agent use cases, and design adoption strategies grounded in Microsoft's Cloud Adoption Framework. By the end of this course, you'll be able to conduct enterprise requirements analysis, recommend the right platform components for a given scenario, design a high-level multi-agent strategy, and build a defensible ROI case for an agentic AI initiative. This course is ideal for solutions consultants, AI architects, and technical leads preparing to take on agentic AI architecture responsibilities. Foundational familiarity with Microsoft cloud platforms and business process design is recommended.

Learners step into the role of Principal AI Strategy Consultant and Lead Architect for Apex Premium Finance—a mid-sized wealth management and retail banking institution facing uncoordinated AI requests from three business units. Rather than producing a generic strategy document, learners apply every LC 1 skill to a realistic enterprise scenario with real stakes: preventing shadow AI chaos, classifying project risk, remediating data gaps, selecting the right platform for each use case, designing a phased adoption roadmap, and establishing a Center of Excellence accountability model. The result is a portfolio-ready Enterprise AI Strategy and Governance Playbook that mirrors the deliverables a practicing AI Solutions Architect produces in a client engagement.

What's included

3 readings

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Microsoft

421 Courses2,848,368 learners

Offered by

Microsoft

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