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Total Size:
137.7 MB
Info Hash:
E854FE61FA8E7BCE54C3F8E34AA98E17514F4EF3
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Added:
Dec. 9, 2025, 11:59 a.m.
Stats:
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(Last updated: Dec. 9, 2025, noon)
| File | Size |
|---|---|
| Matfess J. Microsoft Copilot Studio Quick Start 2025.pdf | 6.3 MB |
| Gomathi S. GitHub Copilot Step by Step. Navigating AI-driven software...2026.pdf | 12.4 MB |
| Crosbie L. Microsoft Copilot Studio Step by Step. Customizing Copilot...2026.pdf | 119.0 MB |
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72.2 MB
[14
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2024-11-21
| Uploaded by indexFroggy | Size 72.2 MB | Health [ 14 /1 ] | Added 2024-11-21 |
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137.7 MB
[70
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2025-12-09
| Uploaded by andryold1 | Size 137.7 MB | Health [ 70 /24 ] | Added 2025-12-09 |
NOTE
SOURCE: Crosbie L. Microsoft Copilot Studio Step by Step. Customizing Copilot...2026
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COVER

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MEDIAINFO
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
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