DESCRIPTION
This book offers a comprehensive and practical guide to building effective AI agents for real-world LLM applications. It covers all essential topics: from the basics of AI, ML, and GenAI to agent architectures, core components, and design principles. Advanced concepts such as agentic AI frameworks, agentic design patterns, and multi-agent collaboration are also covered. The book also provides the best practices and step-by-step guides for implementing AI agents at scale. Business professionals will benefit from detailed case studies and applications in finance, healthcare, and e-commerce that demonstrate how AI agents are being applied across industries. This book further highlights key implementation challenges along with mitigation strategies related to deployment, building trust, and adoption of AI agents.
By the end of this book, readers will be equipped to confidently design, build, and deploy robust, ethical, and scalable AI agents, acquiring industry-ready skills for the future of AI-driven automation.



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