Mastering Ai Agent Development Tools And Frameworks
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Mastering AI Agent Development: Tools and Frameworks
Mastering AI Agent Development: Tools and Frameworks explores the cutting-edge technologies and methodologies behind the development of intelligent, autonomous agents. The book dives into the essential tools, frameworks, and advanced techniques needed for building AI agents capable of learning, adapting, and making decisions in complex environments. Covering a wide range of topics, from reinforcement learning (RL) to deep learning, the book equips readers with the knowledge to develop sophisticated agents for various applications, including robotics, gaming, autonomous vehicles, and industrial automation. The book delves into practical techniques such as integrating neural networks with RL for advanced agent capabilities, exploring multi-agent systems for collaboration and competition, and optimizing training pipelines for performance. Special emphasis is placed on cutting-edge frameworks like Unity ML-Agents, PyBullet, and Ray RLlib, along with innovative methods like transfer learning, curriculum learning, and self-learning agents. It also examines the integration of AI agents with IoT and edge computing, allowing them to function efficiently in real-world scenarios. In addition to technical insights, the book tackles significant challenges in AI agent development, including scalability, performance optimization, and ethical considerations. As the journey toward general-purpose AI unfolds, the book offers a forward-looking perspective on future trends such as self-learning agents, the convergence of AI with IoT, and the path to creating general-purpose, human-like intelligent systems. Designed for both practitioners and researchers, this book provides a comprehensive guide to building and deploying AI agents in diverse, real-world contexts.
Mastering ROS 2 for Robotics Programming
Author: Lentin Joseph
language: en
Publisher: Packt Publishing Ltd
Release Date: 2025-07-28
In this fourth edition, master ROS 2 by creating robotics software applications that integrate the latest technologies, like Generative AI and reinforcement learning, to build your custom robot All formats include a free PDF and an invitation to the Embedded System Professionals community Key Features Get a solid understanding of ROS 2 core concepts and features from scratch Design, simulate, and prototype robotic applications using ROS 2, C++, Python, and Gazebo Gain hands-on experience with the latest technologies like GenAI and reinforcement learning, integrated with ROS 2 Jazzy Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe rising demand for advanced robotics software has made proficiency in frameworks like ROS 2 essential for engineers and enthusiasts alike. Lentin Joseph, co-founder of RUNTIME Robotics, and Jonathan Cacace, PhD in robotics, help you grasp the foundational concepts and practical applications in this comprehensive fourth edition updated to cover the latest LTS release from 2024—ROS 2 Jazzy. Starting with a solid introduction to ROS 2, including core components and tools, the chapters get you ready to start programming and using its key features confidently. Building on this, the book focuses on 3D robot modeling and simulation with the new Gazebo Sim, supported by ROS 2 controllers. You’ll explore high-level features such as Nav2 for navigation and MoveIt 2 for manipulation, which are crucial for developing advanced systems. You'll also dive into aerial robotics with ROS 2 and learn how to build real-world robots using Micro-ROS. The concluding chapters cover advanced topics like CI/CD workflows, interfacing ROS 2 with large language model (LLM) agents for intelligent planning, and applying deep reinforcement learning for autonomy. By the end of this book, you'll have a strong foundation in ROS 2, along with the skills needed to build sophisticated, real-world robotic applications.What you will learn Explore ROS 2 architecture, DDS, and communication interfaces in depth Simulate various robots using Gazebo and ROS 2 Master Nav2 and MoveIt 2 in ROS 2 Explore ros2_control and Perception Build and program a real mobile robot from scratch using Raspberry Pi board and ROS 2 Build LLM-based AI agents in ROS 2 Implement reinforcement learning applications in ROS 2, NVIDIA Isaac Lab, and Isaac Sim Who this book is for If you are a robotics enthusiast, researcher, or software professional looking to advance your skills in ROS 2, this book is for you. ROS developers who wish to explore the advanced features of ROS 2 will also find this book helpful. Basic knowledge of ROS, GNU/Linux, and C++, as well as Python programming concepts is necessary to get started with this book.
AI-Augmented Project Management: Mastering AI Agents for Strategic Success
In a world of accelerating project complexity, Artificial Intelligence (AI) Agents are emerging as powerful allies for project leaders seeking to elevate performance and drive strategic success. “AI-Augmented Project Management: Mastering AI Agents for Strategic Success” aims to serve as a practical and action-oriented guide for project managers to effectively leverage AI Agents to solve pressing project challenges, from planning and scheduling to risk management and resource optimization. This book provides a comprehensive framework for understanding, deploying, and integrating AI Agents across core project management areas. It emphasizes practical applications and actionable strategies to harness the power of AI Agents for predictive planning, adaptive scheduling, and stakeholder management, while also addressing data governance and ethical considerations.