Mastering Explainable & Agentic AI offers a clear, practical pathway to understanding and building AI systems that are transparent, trustworthy, and capable of autonomous reasoning. Bringing together the fields of Explainable AI (XAI) and Agentic AI, this book helps readers explore how intelligent models think, act, and justify their decisions.
From the fundamentals of interpretability and model diagnostics to advanced reasoning frameworks and agent-driven architectures, the book provides a balanced blend of theory, hands-on examples, and real-world applications. Readers will learn how to construct interpretable models, visualize decision flows, implement reasoning agents, and embed ethical and accountable practices into AI solutions.
Ideal for students, developers, researchers, and industry professionals, this guide demystifies complex concepts while empowering readers to build AI systems that are not only powerful—but understandable, reliable, and aligned with human values.
A complete journey from basics to advanced techniques, this book prepares you to create AI that explains, adapts, and acts with purpose.






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