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Mastering Semantic Kernel: Build AI Agents, Automate Workflows, and Connect AI to Your Apps
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Publisher: Independently Published
Published: Sep 9 2025
Pages: 486
Weight: 1.84
Height: 0.98 Width: 7.00 Depth: 10.00
Language: English
Build Production-Ready AI Agents and Workflows with Semantic Kernel - Step-by-Step
The world of AI is moving fast, and developers need practical tools to keep up. Mastering Semantic Kernel is your complete guide to building intelligent systems that go beyond simple chatbots. With clear explanations, hands-on projects, and production-ready code, this book shows you how to connect large language models (LLMs) with real-world data, APIs, and workflows - all powered by Microsoft's Semantic Kernel framework.
Whether you're a backend developer exploring AI for the first time or an experienced engineer scaling enterprise-level automation, this book equips you with the skills to design, deploy, and optimize intelligent agents that make real business impact.
What You'll Learn
- The Core Concepts of Semantic Kernel - Kernels, skills, functions, connectors, plugins, and pipelines explained clearly.
- Build Your First AI Agent - Step-by-step instructions to create a fully functional agent in Python or C#.
- Automate Multi-Step Workflows - Design branching workflows with state management and error handling.
- Integrate AI into Your Applications - Connect SK to REST APIs, databases, and messaging platforms like Slack and Teams.
- Advanced Patterns and Scaling - Multi-agent systems, context management for long conversations, and memory persistence.
- Security, Compliance, and Reliability - Implement RBAC, handle sensitive data securely, and meet GDPR/HIPAA requirements.
- Real-World Case Studies - See SK applied to customer support, business automation, knowledge management, and more.
- Deploy to the Cloud - Prepare your SK projects for AWS, Azure, or Google Cloud with performance tuning and monitoring.
Why This Book Stands Out
Unlike surface-level tutorials, Mastering Semantic Kernel gives you deep, hands-on mastery through carefully crafted examples and projects.
- No fluff or vague theory - every concept is explained with runnable, copy-paste-ready code included directly in the book.
- End-to-end projects - build complete solutions like a customer support triage bot or enterprise workflow automation system.
- Production focus - learn to scale, secure, and monitor your AI systems for real-world deployment.
Who This Book Is For
- Developers and Engineers who want to integrate AI into existing services.
- AI Enthusiasts looking to go beyond prompt engineering and build robust agents.
- Technical Teams aiming to scale automation with reliable, testable workflows.
No data science degree required - just a working knowledge of programming and APIs.
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