Pytorch Ai Agent Engineering
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Pytorch Ai Agent Engineering
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Author : Jerry Caraballo
language : en
Publisher: Independently Published
Release Date : 2025-06-29
Pytorch Ai Agent Engineering written by Jerry Caraballo and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-29 with Computers categories.
PyTorch AI Agent Engineering: Build Intelligent, Scalable Machine Learning Agents with Real-World Python Workflows and Modern Deep Learning Tools PyTorch AI Agent Engineering is your essential guide to building robust, production-ready machine learning agents using modern Python workflows and cutting-edge deep learning tools. This hands-on book cuts through the noise and gives you practical, actionable strategies for every stage of agent development - from concept to deployment. What sets this book apart? End-to-End Engineering: Master every step, from designing minimal QA agents and building data pipelines, to packaging and deploying models with TorchScript, ONNX, and FastAPI. Practical Agent Architecture: Learn how to construct modular, scalable agent systems using PyTorch, Lightning, Hydra, and the latest open-source frameworks. Real-World Applications: Integrate classic ML with modern deep learning, deploy GANs for data augmentation, and orchestrate multi-agent pipelines for coding assistants, QA bots, and more. Production-Ready Focus: Apply proven techniques for model versioning, reproducibility, security compliance (GDPR/CCPA), and automated CI/CD. Performance and Reliability: Profile speed and memory, test for accuracy, and scale horizontally on Kubernetes - so your agents never hit a wall when it matters most. Are you a developer, ML engineer, or data scientist eager to move beyond one-off demos? Do you want workflows that scale, adapt, and deliver results in real environments? This book is for you.
Ace The Google Machine Learning Engineer Certification
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Author : Etienne Noumen
language : en
Publisher: Etienne Noumen
Release Date :
Ace The Google Machine Learning Engineer Certification written by Etienne Noumen and has been published by Etienne Noumen this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Master Google Cloud’s most advanced AI certification with this definitive 2025 study guide. From TensorFlow and data pipelines to ML ops, model deployment, and ethical AI—this book delivers the knowledge, tools, and confidence to help you ace the Professional Machine Learning Engineer Exam. Backed by real-world examples, mock exams, and hands-on insights. 🎯 The ins and outs of Google's Machine Learning Engineer certification are explored in detail. A comprehensive guide is provided, covering the latest updates and offering tips for success. Why This Certification Matters - The growing demand for skilled Machine Learning Engineers - Career advancement and increased earning potential - The Google brand and its weight in the tech world Decoding the Certification: Requirements & Exam Structure - The four main exam domains: Machine Learning Concepts, Data Analysis, Model Building and Evaluation, and Machine Learning Systems Design - Exam format and structure: Multiple-choice, coding, and open-ended questions - The Google Cloud Platform (GCP) proficiency requiredMastering the Material: Essential Skills & Resources - Key concepts: Supervised and unsupervised learning, deep learning, natural language processing, computer vision - Recommended resources: Coursera, Udacity, Google Cloud Skills Boost, and relevant online communities - Practical projects: Building your own portfolio to showcase your skills Strategies for Success: Effective Preparation & Exam Day Tips - Practice, practice, practice: Using mock exams, coding exercises, and real-world datasets - Time management: Balancing learning, practice, and exam-day strategy - Stress management: Techniques to stay calm and focused on exam day Full Practice Exam - 2025 included Beyond the Certification: Career Paths & Continued Learning - The book explores potential roles: Machine Learning Engineer, Data Scientist, AI Researcher - The importance of continuous learning and staying updated with advancements in the field - Building your professional network and actively contributing to the ML community 📘 Download the E-Book + Audiobook combo at Djamgatech at https://djamgatech.com/product/ace-the-google-machine-learning-engineer-certification-2025-update-e-book-audiobook/ 📘 You can also Download the E-Book + Audiobook combo at Google Play Books at https://play.google.com/store/audiobooks/details?id=AQAAAEDKqGjosM
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.
Artificial Intelligence For Engineers
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Author : Zhen "Leo" Liu
language : en
Publisher: Springer Nature
Release Date : 2025-01-03
Artificial Intelligence For Engineers written by Zhen "Leo" Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Technology & Engineering categories.
This textbook presents basic knowledge and essential toolsets needed for people who want to step into artificial intelligence (AI). The book is especially suitable for those college students, graduate students, instructors, and IT hobbyists who have an engineering mindset. That is, it serves the idea of getting the job done quickly and neatly with an adequate understanding of why and how. It is designed to allow one to obtain a big picture for both AI and essential AI topics within the shortest amount of time.
The Rise Of Ai Agents
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Author : Tamer AlaaEldine
language : en
Publisher: Tamer Alaaeldine Hamdy
Release Date : 2025-02-25
The Rise Of Ai Agents written by Tamer AlaaEldine and has been published by Tamer Alaaeldine Hamdy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.
"The Rise of AI Agents: Transforming Work and Society" by Tamer AlaaEldine examines artificial intelligence's impact on work and society, with a focus on agentic AI. The book presents a comprehensive analysis of automation's evolution and its implications for the future. The narrative begins with automation's historical context, from ancient innovations to modern technology. Through a creative thought experiment involving alien abduction of professionals, the book emphasizes society's potential need for AI solutions. The author introduces the AI Social Value Index (AI SVI), a framework evaluating job replaceability by considering factors like life threat, reproducibility, usability, repetitiveness, creativity, and innovation. Task decomposition is explored as a method for understanding how jobs can be broken down and recombined, highlighting the future roles of both AI and humans. The book incorporates academic frameworks to analyze automation's impact on labor markets, including a mathematical approach to studying the relationship between automation and new task creation. The evolution of generative AI is examined, from basic models to advanced large language models (LLMs). The concept of Agentic AI is introduced, discussing autonomous decision-making machines and their potential for both job displacement and creation. Ethical challenges are thoroughly addressed, including bias, environmental costs, hallucination, privacy concerns, impersonation, intellectual property theft, and misinformation risks. The book explores AI applications across various sectors, including healthcare, manufacturing, and military applications. Economic implications are discussed, including the potential rise of one-person startups and the disruption of traditional business models. The work concludes with a call to action for stakeholders to ensure ethical AI development and equitable distribution of its benefits. This comprehensive work targets diverse audiences, including AI professionals, technology experts, economists, sociologists, students, academics, policymakers, and general readers interested in technology's societal impact. It provides practical insights for integrating AI across industries while maintaining focus on human-centered design and ethical considerations.
Responsible Robotics Identifying And Addressing Issues Of Ethics Fairness Accountability Transparency Privacy And Employment
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Author : Martim Brandão
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-18
Responsible Robotics Identifying And Addressing Issues Of Ethics Fairness Accountability Transparency Privacy And Employment written by Martim Brandão and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Technology & Engineering categories.
Emerging Trends In Iot And Computing Technologies
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Author : Suman Lata Tripathi
language : en
Publisher: CRC Press
Release Date : 2024-08-29
Emerging Trends In Iot And Computing Technologies written by Suman Lata Tripathi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Computers categories.
Second International Conference on Emerging Trends in IOT and Computing Technologies (ICEICT – 2023) is organised with a vision to address the various issues to promote the creation of intelligent solution for the future. It is expected that researchers will bring new prospects for collaboration across disciplines and gain ideas facilitating novel concepts. Second International Conference of Emerging Trends in IoT and Computer Technologies (ICEICT-2023) is an inventive event organised in Goel Institute of Technology and Management, Lucknow, India, with motive to make available an open International forum for the researches, academicians, technocrats, scientist, engineers, industrialist and students around the globe to exchange their innovations and share the research outcomes which may lead the young researchers, academicians and industrialist to contribute to the global society. The conference ICEICT- 2023 is being organised at Goel Institute of Technology and Management, Lucknow, Uttar Pradesh, during 12-13 January 2024. It will feature world-class keynote speakers, special sessions, along with the regular/oral paper presentations. The conference welcomes paper submissions from researcher, practitioners, academicians and students will cover numerous tracks in the field of Computer Science and Engineering and associated research areas.
Deep Reinforcement Learning And Its Industrial Use Cases
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Author : Shubham Mahajan
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-29
Deep Reinforcement Learning And Its Industrial Use Cases written by Shubham Mahajan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Computers categories.
This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable resource for professionals and enthusiasts at the forefront of technological innovation. Deep Reinforcement Learning (DRL) represents one of the most dynamic and impactful areas of research and development in the field of artificial intelligence. Bridging the gap between decision-making theory and powerful deep learning models, DRL has evolved from academic curiosity to a cornerstone technology driving innovation across numerous industries. Its core premise—enabling machines to learn optimal actions within complex environments through trial and error—has broad implications, from automating intricate decision processes to optimizing operations that were previously beyond the reach of traditional AI techniques. “Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications” is an essential guide for anyone eager to understand the nexus between cutting-edge artificial intelligence techniques and practical industrial applications. This book not only demystifies the complex theory behind deep reinforcement learning (DRL) but also provides a clear roadmap for implementing these advanced algorithms in a variety of industries to solve real-world problems. Through a careful blend of theoretical foundations, practical insights, and diverse case studies, the book offers a comprehensive look into how DRL is revolutionizing fields such as finance, healthcare, manufacturing, and more, by optimizing decisions in dynamic and uncertain environments. This book distills years of research and practical experience into accessible and actionable knowledge. Whether you’re an AI professional seeking to expand your toolkit, a business leader aiming to leverage AI for competitive advantage, or a student or academic researching the latest in AI applications, this book provides valuable insights and guidance. Beyond just exploring the successes of DRL, it critically examines challenges, pitfalls, and ethical considerations, preparing readers to not only implement DRL solutions but to do so responsibly and effectively. Audience The book will be read by researchers, postgraduate students, and industry engineers in machine learning and artificial intelligence, as well as those in business and industry seeking to understand how DRL can be applied to solve complex industry-specific challenges and improve operational efficiency.
Build Ai Agents With Python
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Author : Eidan Crest
language : en
Publisher: Independently Published
Release Date : 2025-11-17
Build Ai Agents With Python written by Eidan Crest and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-17 with Computers categories.
AI has changed-but tutorials haven't. Most guides stop at simple chatbots and ignore what developers really need today: agentic AI Python skills-how to design, build, and ship intelligent systems that plan, act, call tools, and integrate with real-world workflows. If you're a developer trying to build AI agents that go beyond text replies and actually perform tasks, you've probably felt the gap: fragmented resources, partial examples, and no clear path from prototype to production. This book closes that gap. It is your complete, end-to-end AI agent orchestration and engineering playbook-focused on real-world Python automation AI and modern frameworks. If you want to become the developer who can design, implement, and ship serious AI systems, this is the guide you've been looking for. With this book, you will: Master the core patterns of agent engineering - reasoning loops, planning, memory, tools, safety, and governance, all implemented in clean, production-ready agentic AI Python code. Build practical, real-world projects - from single agents to complex multi agent systems Python architectures that collaborate, debate, and delegate work. Learn LangGraph the right way - with a hands-on, step-by-step LangGraph tutorial that shows you how to model nodes, edges, and state for research, coding, and document workflows. Use Autogen in real scenarios - not just basic demos, but a full Autogen Python guide that walks you through interdependent agents, conversational loops, human-in-the-loop approvals, and safe execution. Turn your data into intelligence with LlamaIndex - build robust LlamaIndex RAG agents that index documents, perform retrieval-augmented generation, and plug cleanly into your wider agent ecosystem. Engineer powerful Python tool-calling agents - design and implement Python tool calling agents that interact with APIs, databases, files, browsers, and OS-level tools using structured, validated functions. Automate real workflows, not just prompts - build full AI workflow automation systems that handle research, reporting, coding, web tasks, and business operations from end to end. Deploy with confidence - apply best practices for testing, evaluation, monitoring, and AI agent orchestration using FastAPI, Docker, serverless platforms, and observability tooling. Whether you're a software engineer, data scientist, ML engineer, indie hacker, or technical founder, this book gives you the skills and patterns to move beyond simple scripts and into robust, scalable Python automation AI systems that deliver real value.
Pytorch Artificial Intelligence Fundamentals
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Author : Jibin Mathew
language : en
Publisher:
Release Date : 2020-02-28
Pytorch Artificial Intelligence Fundamentals written by Jibin Mathew and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.