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Crosbie L. Microsoft Copilot Studio Step by Step. Customizing Copilot...2026

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Crosbie L. Microsoft Copilot Studio Step by Step. Customizing Copilot...2026

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Category: Other
Total size: 137.65 MB
Added: 2 days ago (2025-12-09 10:20:01)

Share ratio: 69 seeders, 1 leechers
Info Hash: E854FE61FA8E7BCE54C3F8E34AA98E17514F4EF3
Last updated: 15 minutes ago (2025-12-11 16:04:57)

Description:

Textbook in PDF format Renowned Microsoft AI authority Lisa Crosbie unveils an essential guide to mastering agent building and business process automation with Microsoft Copilot Studio Microsoft Copilot Studio Step by Step: Customizing Copilot and creating agents is the definitive, hands-on guide for professionals seeking to master Microsoft’s low-code agent-building platform. The book combines reference material with step-by-step tutorials, making complex AI concepts accessible to low-code makers, consultants, and IT pros. You will learn to design, build, and deploy AI-powered agents that automate workflows, transform business processes, and integrate with Microsoft 365 Copilot and your line of business systems. Through practical scenarios, best practices, and end-to-end examples, this book equips users with the skills to leverage Copilot Studio for organizational value, offering the depth and clarity needed to turn ideas into working solutions, and emerging as the essential resource for this rapidly growing technology. By reading this book, you will Understand the foundational concepts and architecture of Microsoft Copilot Studio and AI agents Create AI-powered agents using natural language and low-code tools for internal and customer-facing scenarios Configure autonomous agents with event-driven, scheduled, and data-based triggers Ground your agents in organizational knowledge by connecting to multiple data sources Author structured conversational topics using advanced tools like branching logic and adaptive cards Extend agent capabilities with connectors, prompts, MCP servers, and workflow automation Design multi-agent orchestration using child and connected agents to delegate tasks across specialized domains