Mastering Ai Agent Development Tools And Frameworks

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Mastering Ai Agent Development Tools And Frameworks

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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Mastering Ai Agent Development Tools And Frameworks written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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

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Author : Lentin Joseph
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-28

Mastering Ros 2 For Robotics Programming written by Lentin Joseph and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-28 with Computers categories.

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

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Author : Tuan M. Nguyen
language : en
Publisher: Tuan M. Nguyen
Release Date : 2025-05-26

Ai Augmented Project Management Mastering Ai Agents For Strategic Success written by Tuan M. Nguyen and has been published by Tuan M. Nguyen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Computers categories.

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.

Mastering Openai For Enterprise

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Author : Sriram Subramanian
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-03-11

Mastering Openai For Enterprise written by Sriram Subramanian and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Computers categories.

TAGLINE Master OpenAI and Unlock the Future of AI-Powered Innovation KEY FEATURES ● In-depth exploration of OpenAI tools, models, and enterprise use cases ● Hands-on projects with extensive code samples for practical learning ● Real-world case studies with ethical AI insights and best practices DESCRIPTION OpenAI is transforming industries with cutting-edge AI models, redefining how businesses operate, innovate, and compete. Mastering OpenAI for Enterprise is your definitive guide to harnessing the power of OpenAI’s groundbreaking technologies, including GPT models, DALL·E, and more. Designed for AI engineers, developers, and business leaders, this book offers an in-depth understanding of OpenAI’s tools and their real-world applications in enterprise settings. This hands-on guide provides a structured learning path, featuring practical code samples, step-by-step implementations, and industry case studies that bridge theory with practice. Whether you're building intelligent chatbots, leveraging AI for automation, or exploring generative AI for creative solutions, this book equips you with the knowledge and skills to seamlessly integrate OpenAI into your workflows. Ethical AI development and responsible implementation are also key themes, ensuring that innovation is balanced with accountability. As AI continues to evolve at an unprecedented pace, mastering OpenAI is no longer optional—it’s essential. The future belongs to those who can effectively leverage these technologies. Don’t get left behind—equip yourself with the expertise needed to stay ahead in the AI revolution. WHAT WILL YOU LEARN ● Gain expertise in OpenAI’s models, APIs, and enterprise applications ● Build intelligent chatbots and virtual assistants using ChatGPT ● Implement ethical AI practices for responsible and fair deployment ● Optimize and deploy OpenAI models for scalable business solutions ● Analyze real-world case studies to drive AI-powered innovation ● Leverage generative AI to automate, enhance, and transform workflows WHO IS THIS BOOK FOR? This book is tailored for both beginners and experienced professionals looking to harness the power of OpenAI. Ideal for application architects, developers, AI engineers, CTOs, and technology leaders, it provides the essential knowledge and hands-on skills needed to integrate OpenAI solutions into enterprise applications effectively. TABLE OF CONTENTS 1. OpenAI Primer 2. Deep Learning, Transformers, and OpenAI Tools 3. Natural Language Processing with GPTs 4. Computer Vision with DALL-E and CLIP 5. Building Chatbots with ChatGPT 6. AI Ethics and Responsible AI 7. Deploying OpenAI Models 8. Case Studies and Best Practices Appendix. Retrieval-Augmented Generation (RAG) Index

Mastering Ai Game Development With Unreal

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Author : Hrishikesh Andurlekar
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-10-14

Mastering Ai Game Development With Unreal written by Hrishikesh Andurlekar and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.

TAGLINE Elevate your Unreal Engine skills with This Essential Guide to AI-Driven Game Development! KEY FEATURES ● Comprehensive coverage of AI techniques and their Unreal Engine implementation ● Practical hands-on exercises and real-world examples for seamless AI integration ● Covers all important AI workflows in Unreal Engine DESCRIPTION In the rapidly evolving world of game development, integrating Artificial Intelligence (AI) into your Unreal Engine projects is no longer optional—it’s essential. Mastering AI for Unreal Engine is your definitive guide to unlocking the transformative power of AI, propelling your games beyond the ordinary and into the realm of cutting-edge, immersive experiences. Through a step-by-step approach, you will explore a wide range of AI techniques, including pathfinding, behavior trees, perception systems, and the powerful Environment Query System (EQS). Each chapter delves into the theoretical underpinnings of these AI components, followed by hands-on exercises and real-world examples that demonstrate their integration within Unreal Engine. We will learn to create intelligent, dynamic, and engaging game experiences by leveraging the power of AI. What sets this book apart is its deep dive into emerging AI frameworks like the Mass Framework, giving you a strategic edge in adopting the latest trends and technologies that are shaping the future of gaming. You’ll learn how to optimize your AI systems, enhance performance, and master debugging techniques critical for smooth, efficient development processes. Mastering AI for Unreal Engine doesn’t just teach you AI—it empowers you to innovate, create intelligent game worlds, and stand out in the fiercely competitive game development landscape. WHAT WILL YOU LEARN ● Set up and navigate Unreal Engine to establish a strong foundation for AI development. ● Learn Blueprints, create class Blueprints, and use Blueprint communication for interactive AI components. ● Build AI characters, and master navigation meshes and pathfinding for dynamic movement. ● Create complex AI behaviors using Behavior Trees and Blackboard components. ● Implement AI Perception to add sight and hearing, making your AI characters more aware and reactive. ● Use State Trees to manage AI states with evaluators, tasks, and transitions. ● Leverage the Environmental Query System (EQS) to enable AI to make context-aware decisions. ● Debug and optimize AI with Unreal’s visual logging and debugging tools. ● Explore advanced AI design techniques like Data Oriented Design, Mass AI, and ZoneGraph. WHO IS THIS BOOK FOR? This book is tailored for game developers, aspiring designers, and anyone interested in integrating AI into Unreal Engine projects. Suitable for beginners to experienced professionals, it’s ideal for students, hobbyists, and industry pros looking to enhance their AI skills. Whether you're creating Non-Player Characters (NPCs), designing complex decision-making systems, or advancing game AI, this book provides the tools and knowledge you need to succeed. TABLE OF CONTENTS 1. Introduction to Unreal Engine 2. Unreal Blueprints 3. Understanding AI in Games 4. Navigation and Pathfinding 5. Behavior Trees and Blackboards 6. AI Perception 7. StateTree 8. Environment Query System 9. SmartObjects 10. Debugging AI in Unreal Engine 11. Mass Framework and Future Trends in GameAI Index

Mastering Ai Basics Coding Machine Language And Robotics

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Author : Yogesh Deshpande
language : en
Publisher: Yogesh Deshpande
Release Date : 2025-06-07

Mastering Ai Basics Coding Machine Language And Robotics written by Yogesh Deshpande and has been published by Yogesh Deshpande this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-07 with Computers categories.

Mastering AI Basics: Coding, Machine Language, and Robotics" is a comprehensive guide designed for students, researchers, and professionals seeking to understand the foundations of artificial intelligence and its practical applications. This book bridges theoretical concepts with hands-on coding approaches, providing readers with the essential knowledge needed to navigate the rapidly evolving field of AI. From fundamental principles to advanced techniques, this book covers the breadth of artificial intelligence, machine learning algorithms, neural network architectures, and their integration into robotics systems. Each chapter builds upon established concepts while introducing new frameworks, making this resource valuable for both beginners and experienced practitioners in the field of computer science and engineering.

Ai Agent For All

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Author : Engr. Rajib Mazumder
language : en
Publisher: via tolino media
Release Date : 2025-05-06

Ai Agent For All written by Engr. Rajib Mazumder and has been published by via tolino media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.

The growing importance of AI agents is further amplified by advancements in technology. Tools like Python, TensorFlow, and Hugging Face have democratized access to AI development, enabling creators of all skill levels to build agents with relative ease. Python, with its simplicity and rich ecosystem of libraries, serves as a foundational language for AI development. TensorFlow, developed by Google, provides a powerful framework for building machine learning models, while Hugging Face offers pre-trained models and tools that simplify tasks like natural language processing. These technologies lower the barrier to entry, allowing readers to experiment with AI agents without requiring extensive prior knowledge.

Mastering Prompt Engineering

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Author : Anand Nayyar
language : en
Publisher: Morgan Kaufmann
Release Date : 2025-08-01

Mastering Prompt Engineering written by Anand Nayyar and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Computers categories.

Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach. - Addresses ethical concerns and provides strategies for mitigating bias and ensuring responsible AI practices - Covers foundational concepts, advanced techniques, and the broader landscape of LLMs, equipping readers with a well-rounded understanding - Serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization

Ai Systems And Frameworks

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Author : Ronald Joseph Legarski, Jr.
language : en
Publisher: SolveForce
Release Date : 2025-04-26

Ai Systems And Frameworks written by Ronald Joseph Legarski, Jr. and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Computers categories.

AI Systems and Frameworks: Designing, Deploying, and Evaluating Intelligent Architectures is a definitive guide for leaders, developers, architects, and policymakers building the future of intelligent systems. Co-authored by Ronald Legarski, an innovator at the intersection of technology and ethics, and Grok, the AI assistant developed by xAI, this book delivers a comprehensive and practical roadmap for navigating the complexities of modern AI deployment. Drawing from global success stories—from retail to healthcare to agriculture—the book explores: Best practices in designing scalable and ethical AI architectures Deploying systems across cloud, edge, and federated environments Evaluating performance, bias, resilience, and sustainability Leading frameworks like TensorFlow, Hugging Face, LangChain, and emerging decentralized AI models Governance principles aligned with regulations like the EU AI Act and global ethical standards In an era where AI investments are exceeding $200 billion annually, AI Systems and Frameworks bridges theory and action, offering the knowledge needed to build AI systems that are not just powerful, but equitable, sustainable, and future-ready. Whether you are an enterprise leader, system architect, startup founder, educator, or policymaker, this book equips you to lead confidently in the intelligent systems revolution.

Langchain For Rag Beginners Build Your First Powerful Ai Gpt Agent

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Author : Karel Hernandez Rodriguez
language : en
Publisher: Karel Hernandez Rodriguez
Release Date : 2024-08-14

Langchain For Rag Beginners Build Your First Powerful Ai Gpt Agent written by Karel Hernandez Rodriguez and has been published by Karel Hernandez Rodriguez this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Computers categories.

Dive into the world of advanced AI with "Python LangChain for RAG Beginners" ✔ Learn how to code Agentic RAG Powered Chatbot Systems. ✔ Empower your Agents with Tools ✔ Learn how to Create your Own Agents This comprehensive guide takes you on a journey through LangChain, an innovative framework designed to harness the power of Generative Pre-trained Transformers (GPTs) and other large language models (LLMs) for creating sophisticated AI-driven applications. Starting from the basics, this book provides a detailed understanding of how to effectively use LangChain to build, customize, and deploy AI applications that can think, learn, and interact seamlessly. You will explore the core concepts of LangChain, including prompt engineering, memory management, and Retrieval Augmented Generation (RAG). Each chapter is packed with practical examples and code snippets that demonstrate real-world applications and use cases. Key highlights include: Getting Started with LangChain: Learn the foundational principles and set up your environment. Advanced Prompt Engineering: Craft effective prompts to enhance AI interactions. Memory Management: Implement various memory types to maintain context and continuity in conversations. Retrieval Augmented Generation (RAG): Integrate external knowledge bases to expand your AI's capabilities. Building Intelligent Agents: Create agents that can autonomously perform tasks and make decisions. Practical Use Cases: Explore building a chat agent with web UI that allows you chatting with documents, web retrieval, vector databases for long term memory and much more ! Whether you are an AI enthusiast, a developer looking to integrate AI into your projects, or a professional aiming to stay ahead in the AI-driven world, " Python LangChain for RAG Beginners" provides the tools and knowledge to elevate your AI skills. Embrace the future of AI and transform your ideas into powerful, intelligent applications with LangChain.