April 2025
Intermediate to advanced
292 pages
8h 29m
English
Overview
In "Building Agentic AI Systems", you will explore how to design and create intelligent and autonomous AI agents that can reason, plan, and adapt. This book dives deep into the principles and practices necessary to unlock the potential of generative AI and agentic systems. From foundation to implementation, you'll gain valuable insights into cutting-edge AI architectures and functionalities.
What this Book will help me do
- Understand the foundational concepts of generative AI and the principles of agentic systems.
- Develop skills to design AI agents capable of self-reflection, tool utilization, and adaptable planning.
- Explore strategies for ensuring ethical transparency and safety in autonomous AI systems.
- Learn practical techniques to build effective multi-agent AI collaborations with real-world applications.
- Gain insights into designing AI systems with scalability, adaptability, and minimal human intervention.
Author(s)
Anjanava Biswas and Wrick Talukdar are experts in AI development with years of experience working on generative AI frameworks and autonomous systems. They specialize in creating innovative AI solutions and contributing to AI best practices in the industry. Their dedication to teaching and clarity in writing make technical concepts accessible to developers at all levels.
Who is it for?
This book is ideal for AI developers, machine learning engineers, and software architects seeking to advance their understanding of designing and implementing intelligent autonomous AI systems. Readers should have a foundational understanding of machine learning principles and basic programming experience, particularly in Python, to follow the book effectively. Understanding of generative AI or large language models is helpful but not required. If you're aiming to build or refine your skills in agent-based AI systems and how they adapt, this book is for you.
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