Building Agentic AI Systems by Anjanava Biswas, Wrick Talukdar

Building Agentic AI Systems: Create Intelligent, Autonomous AI Agents that Can Reason, Plan, and Adapt by Anjanava Biswas and Wrick Talukdar is a practical and insightful guide to developing AI agents capable of independent reasoning, dynamic planning, and adaptive learning. With forewords by industry leaders Matthew R. Scott and Dr. Alex Acero, this book bridges the gap between AI theory and real-world implementation, providing readers with the tools and frameworks to design agentic systems for diverse domains. From conceptual foundations to hands-on examples, it equips AI enthusiasts, researchers, and developers to push beyond traditional models and create systems that act with autonomy and purpose.

Building Agentic AI Systems

Author(s): Anjanava Biswas, Wrick Talukdar
Foreword By: Matthew R. Scott, Dr. Alex Acero
Binding: Paperback
Paper Quality: White Paper
Category: Artificial Intelligence, Computer Science, Machine Learning
Recommended For:
AI researchers, software engineers, data scientists, machine learning practitioners, robotics developers, and anyone interested in creating autonomous AI solutions.

Key Points with Brief Descriptions:

• Foundations of Agentic AI:
  Explains the core principles behind autonomous and intelligent agents.

• Reasoning and Decision-Making:
  Details how to design AI systems that can think critically and make informed choices.

• Planning and Goal Setting:
  Teaches how to enable AI agents to plan actions and work toward objectives efficiently.

• Adaptability and Learning:
  Covers methods for building systems that evolve and improve over time.

• Real-World Applications:
  Showcases use cases in fields like robotics, customer service, and business automation.

• Practical Implementation:
  Provides examples, code snippets, and frameworks for developing agentic systems.