Engineering Ai Excellence
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Engineering Ai Excellence
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Author : Azhar ul Haque Sario
language : en
Publisher: Azhar ul Haque Sario
Release Date : 2024-12-20
Engineering Ai Excellence written by Azhar ul Haque Sario and has been published by Azhar ul Haque Sario this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-20 with Computers categories.
Engineering AI Excellence: A Practical Guide to Building and Deploying Next-Generation AI Systems Are you ready to push the boundaries of what's possible with AI? The field of AI is evolving at an electrifying pace. It's no longer enough to simply build AI that works—today's AI engineers need to create systems that are robust, scalable, efficient, and ethical. "Engineering AI Excellence" equips you with the practical knowledge and cutting-edge techniques needed to design, deploy, and manage AI systems that truly stand out. This book is your comprehensive guide to navigating the complexities of real-world AI development. Inside, you'll discover how to: Maximize your AI investments: Learn to optimize GPU usage, ensuring you get the most performance out of your hardware without breaking the bank. (Chapter 1) Scale AI workloads with ease: Master Kubernetes to orchestrate complex AI systems, enabling seamless scaling and efficient resource management. (Chapter 2) Protect sensitive data: Implement federated learning techniques to train models on decentralized data while preserving privacy and security. (Chapter 3) Deploy cost-effectively: Leverage serverless GPUs for AI inference, achieving scalability and reducing operational expenses. (Chapter 4) Boost performance with model compression: Explore techniques like quantization and pruning to streamline your models for faster inference and reduced resource consumption. (Chapter 5) Automate your AI pipeline: Embrace infrastructure-as-code principles and tools like Terraform to streamline deployment and management. (Chapter 6) Ensure system reliability: Gain insights into AI observability, using monitoring and debugging tools to proactively identify and resolve issues. (Chapter 7) Build fair and ethical AI: Understand the sources of bias in AI models and implement strategies to mitigate them, ensuring fairness and inclusivity. (Chapter 8) Optimize model performance through experimentation: Utilize A/B testing to rigorously evaluate different model versions and identify the best performers. (Chapter 9) Enhance system resilience: Embrace chaos engineering principles to stress-test your AI systems, uncover vulnerabilities, and build robust solutions. (Chapter 10) "Engineering AI Excellence" is more than just a book—it's your roadmap to mastering the art of AI engineering. Whether you're a seasoned AI professional or just starting your journey, this book provides the practical guidance and in-depth knowledge you need to build AI systems that are not just functional, but truly exceptional. Join the movement towards building a future where AI is fast, efficient, private, fair, and truly transformative. Keywords: AI engineering, GPU optimization, Kubernetes, federated learning, serverless GPUs, model compression, AI infrastructure as code, AI observability, bias mitigation, A/B testing, chaos engineering
The Ai Enabled Engineer
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Author : Kevin Cai
language : en
Publisher: John Wiley & Sons
Release Date : 2026-01-27
The Ai Enabled Engineer written by Kevin Cai 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 2026-01-27 with Technology & Engineering categories.
A detailed guide to the evolution of engineering in the face of intelligent systems, including artificial intelligence In The AI-Enabled Engineer: A Comprehensive Framework for Engineering Excellence in the Age of Intelligence, veteran senior systems engineer Kevin Cai delivers an expert discussion of the evolution of modern engineering. From computer applications and the expansion of the internet to data digitalization and the emergence of contemporary artificial intelligence, the author offers practical insights into foundational concepts and promising technological trends that could define the discipline in the coming years. The author balances its coverage of hardware, software, and AI technologies, providing an up-to-date guide to assist young engineers as they navigate complex engineering challenges. He emphasizes the broader societal and technological implications of new developments in intelligent systems, exploring the social responsibilities of practicing engineers. The book also provides: Expert guidance for developing and implementing complex methodological framework An insightful linking of foundational theoretical engineering principles with real-world applications Practical discussions of likely future developments in technology and engineering practice Original treatments of engineering’s evolving role in societal innovation Perfect for engineering students in graduate and doctoral programs, The AI-Enabled Engineer will also benefit systems engineers working in the technology and communications industries, hardware and software integration specialists, and professionals involved with AI and emerging technologies.
Engineering Ai Systems
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Author : Len Bass
language : en
Publisher: Addison-Wesley Professional
Release Date : 2025-03-03
Engineering Ai Systems written by Len Bass and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Computers categories.
Master the Engineering of AI Systems: The Essential Guide for Architects and Developers In today's rapidly evolving world, integrating artificial intelligence (AI) into your systems is no longer optional. Engineering AI Systems: Architecture and DevOps Essentials is a comprehensive guide to mastering the complexities of AI systems engineering. This book combines robust software architecture with cutting-edge DevOps practices to deliver high-quality, reliable, and scalable AI solutions. Experts Len Bass, Qinghua Lu, Ingo Weber, and Liming Zhu demystify the complexities of engineering AI systems, providing practical strategies and tools for seamlessly incorporating AI in your systems. You will gain a comprehensive understanding of the fundamentals of AI and software engineering and how to combine them to create powerful AI systems. Through real-world case studies, the authors illustrate practical applications and successful implementations of AI in small- to medium-sized enterprises across various industries, and offer actionable strategies for designing, building, and operating AI systems that deliver real business value. Lifecycle management of AI models, from data preparation to deployment Best practices in system architecture and DevOps for AI systems System reliability, performance, and security in AI implementations Privacy and fairness in AI systems to build trust and achieve compliance Effective monitoring and observability for AI systems to maintain operational excellence Future trends in AI engineering to stay ahead of the curve Equip yourself with the tools and understanding to lead your organization's AI initiatives. Whether you are a technical lead, software engineer, or business strategist, this book provides the essential insights you need to successfully engineer AI systems. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Combating Cyberattacks Targeting The Ai Ecosystem
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Author : Aditya K. Sood
language : en
Publisher: Stylus Publishing, LLC
Release Date : 2024-10-10
Combating Cyberattacks Targeting The Ai Ecosystem written by Aditya K. Sood and has been published by Stylus Publishing, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-10 with Computers categories.
This book explores in detail the AI-driven cyber threat landscape, including inherent AI threats and risks that exist in Large Language Models (LLMs), Generative AI applications, and the AI infrastructure. The book highlights hands-on technical approaches to detect security flaws in AI systems and applications utilizing the intelligence gathered from real-world case studies. Lastly, the book presents a very detailed discussion of the defense mechanisms and practical solutions to secure LLMs, GenAI applications, and the AI infrastructure. The chapters are structured with a granular framework, starting with AI concepts, followed by practical assessment techniques based on real-world intelligence, and concluding with required security defenses. Artificial Intelligence (AI) and cybersecurity are deeply intertwined and increasingly essential to modern digital defense strategies. The book is a comprehensive resource for IT professionals, business leaders, and cybersecurity experts for understanding and defending against AI-driven cyberattacks. FEATURES: Includes real-world case studies with detailed examples of AI-centric attacks and defense mechanisms Features hands-on security assessments with practical techniques for evaluating the security of AI systems Demonstrates advanced defense strategies with proven methods to protect LLMs, GenAI applications, and the infrastructure
Artificial Intelligence In Education Technologies New Development And Innovative Practices
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Author : Tim Schlippe
language : en
Publisher: Springer Nature
Release Date : 2024-12-31
Artificial Intelligence In Education Technologies New Development And Innovative Practices written by Tim Schlippe and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Education categories.
This book is a collection of selected research papers presented at the 2024 5th International Conference on Artificial Intelligence in Education Technology (AIET 2024), held in Barcelona, Spain, on July 29 - 31, 2024. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. It is a timely and up-to-date publication responsive to the rapid development of AI technologies, practices and their increasingly complex interplay with the education domain. It promotes the cross-fertilisation of knowledge and ideas from researchers in various fields to construct the interdisciplinary research area of AI in Education. These subject areas include computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology and linguistics. The feature of this book will contribute from diverse perspectives to form a dynamic picture of AI in Education. It also includes various domain-specific areas for which AI and other education technology systems have been designed or used in an attempt to address challenges and transform educational practice. Education stands as a cornerstone for societal progress, and ensuring universal access to quality education is integral to achieving Goal 4 of the United Nations' Sustainable Development Goals (SDGs). The goal is to ensure inclusive and equitable quality education for all by 2030. This involves not only expanding access to education but also improving the quality of education to promote lifelong learning opportunities. AI has the potential to significantly contribute to the achievement of Goal 4. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education, and triggering an exponential leap towards the achievement of the Education 2030 Agenda. Providing broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.
Harnessing Generative Ai For Software Development Engineering Excellence
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Author : Dr Partha Majumdar
language : en
Publisher: Dr Partha Majumdar
Release Date : 2025-11-03
Harnessing Generative Ai For Software Development Engineering Excellence written by Dr Partha Majumdar and has been published by Dr Partha Majumdar this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-03 with Computers categories.
Generative Artificial Intelligence is rewriting the rules of software creation. What once demanded thousands of lines of hand-crafted code can now be generated through intelligent collaboration between humans and machines. Harnessing Generative AI for Software Development & Engineering Excellence is the definitive guide to mastering this new era — where programming becomes a dialogue, and engineering evolves into a partnership of creativity, cognition, and code. This book captures a revolution in progress. It reveals how AI is transforming every stage of the Software Development Lifecycle (SDLC)—from concept to deployment—enabling engineers to build faster, smarter, and more resilient systems. Moving beyond automation, it shows how AI amplifies human ingenuity, allowing developers to focus on design, quality, and strategy rather than repetitive tasks. Across six compelling chapters, Dr Partha Majumdar takes you through the full spectrum of intelligent software engineering: AI-Assisted Coding: Discover how to turn natural language prompts into production-ready code, leveraging tools like GitHub Copilot, Amazon CodeWhisperer, and ChatGPT. Learn the art of prompt engineering and quality control to build faster without compromising reliability. Workflow Optimisation: Automate documentation, API generation, and system design using AI, creating seamless development pipelines that operate with precision and consistency. Testing and Quality Assurance: Explore how AI can automatically generate test cases, predict bugs, detect vulnerabilities, and ensure security long before deployment. DevOps and Deployment: Witness AI’s evolution into a strategic operations partner — automating infrastructure with Terraform and Ansible, optimising CI/CD pipelines, and enabling predictive AIOps that self-heal and scale intelligently. Ethical and Strategic Oversight: Understand the boundaries of AI collaboration—why human judgment, transparency, and integrity are vital in guiding autonomous systems toward responsible innovation. Each chapter blends philosophical insight with practical application, offering frameworks, patterns, and case studies that illustrate how to integrate AI meaningfully into your development workflow. The book’s unifying message is clear: AI does not replace engineers—it elevates them. The engineer’s role is evolving from instruction to orchestration, from coding to curating intelligence. Drawing upon over three decades of global experience in software engineering, leadership, and AI-driven transformation, Dr Partha Majumdar presents an authoritative yet accessible guide for developers, architects, and technology leaders. His career journey—from building enterprise systems at JPMorgan Chase and Mobily to leading AI-driven consultancies—infuses this book with real-world credibility and visionary foresight. Beyond being a technical manual, this work is a manifesto for a new generation of engineers who will design systems that think, learn, and adapt. It teaches how to build collaboration between human intuition and machine intelligence, how to balance automation with accountability, and how to achieve excellence through ethical innovation. Whether you are a developer exploring AI-assisted tools, a manager reimagining software delivery pipelines, or a researcher studying intelligent automation, this book offers the principles and practices you need to thrive in the decade of AI. Generative AI is not the end of software engineering—it is its renaissance. This book shows you how to lead that renaissance with confidence, clarity, and conscience.
Ai Innovations For Improving The Food Industry
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Author : Raj, Pethuru
language : en
Publisher: IGI Global
Release Date : 2025-10-08
Ai Innovations For Improving The Food Industry written by Raj, Pethuru and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-08 with Business & Economics categories.
AI is rapidly changing the food industry for the better. From precision agriculture to smart supply chain management, AI has enhanced efficiency and decision-making across food systems. As industry embraces digital transformation, AI emerges as a powerful catalyst for driving smarter, safer, and more sustainable food systems. AI Innovations for Improving the Food Industry explores how AI is pioneering new data analytics technology in the food industry. This book describes the evolution of the food industry through these advancements in AI. Covering topics such as agriculture, inventory optimization, and supply chain, this book is an excellent resource for researchers, academicians, data scientists, AI engineers, food industry professionals, executives, and more.
Fundamentals Of Artificial Intelligence
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Author : Suneel Kumar Duvvuri
language : en
Publisher: Commissionerate of Collegiate Education, Government of Andhra Pradesh
Release Date : 2025-11-01
Fundamentals Of Artificial Intelligence written by Suneel Kumar Duvvuri and has been published by Commissionerate of Collegiate Education, Government of Andhra Pradesh this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-01 with Computers categories.
Artificial Intelligence (AI) has moved from being a futuristic idea to something we use in everyday life. This book aimed to introduce first-year undergraduate students to AI in an easy-to-understand, non-technical way. We started by explaining what AI is, its history, and its main areas like Machine Learning, Computer Vision, Natural Language Processing, Robotics, and Knowledge Engineering. We also saw how AI is used in real life such as in healthcare, finance, agriculture, education, and transportation, showing how it can solve practical problems. Understanding ethics and fairness in AI is very important. AI systems must be designed to be fair, safe, and respectful of privacy. We discussed issues like bias, accountability, transparency, and inclusivity, so students know how to use AI responsibly. A key part of this book was about Generative AI and Prompt Engineering. Tools like ChatGPT, Gemini, Hugging Face, and Perplexity show how AI can help with writing, research, coding, content creation, and learning. Students learned how to write good prompts to get accurate, useful, and creative results from AI. We also explored how AI can help in education, business, creative writing, designing videos, presentations, thumbnails, and branding. We looked at new trends and the future of AI, encouraging students to think about how AI will continue to change industries, research, and daily life. The goal is to give students knowledge, understanding, and a responsible mindset when using AI. In short, this book gives a solid foundation in AI. It shows how AI can be a helpful partner in learning, work, and creativity. By combining theoretical insights with practical applications and ethical considerations, students are empowered to explore, innovate, and make informed decisions in a world increasingly influenced by artificial intelligence. AI is not just a tool for the future, it is already part of our lives today, helping us work smarter, learn faster, and think bigger.
The Ai Blueprint
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Author : ALEX. JOHNSON
language : en
Publisher: Independently Published
Release Date : 2025-09-17
The Ai Blueprint written by ALEX. JOHNSON and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-17 with Computers categories.
Unlock the limitless potential of artificial intelligence in engineering with "The AI Blueprint: Revolutionizing Engineering with Intelligent Systems" by Dr. Alex Johnson. This comprehensive guide offers profound insights into the transformative intersection of AI and engineering, providing you with the essential tools and knowledge to propel your projects to new heights. Engineering professionals and aspiring innovators, are you ready to overcome traditional limitations in design and operational efficiency? This book unveils the current challenges in engineering methodologies and how AI integration can offer indispensable solutions. Delve into the sophisticated world of AI technologies-machine learning, neural networks, and data analytics-that will change how you approach every project. With AI, you can enhance accuracy, generate innovative design solutions, and optimize complex models like never before. Explore chapter-by-chapter the specific ways AI is reshaping the engineering landscape. From conceptualization and modeling to structural and mechanical engineering applications, this book serves as a detailed guide on integrating intelligent systems into your workflows. Learn from successful case studies in real-world settings and gain practical insights to translate theory into practice effectively. Ideal for a wide array of sectors, including structural, mechanical, and civil engineering, this book presents AI as an essential tool for predictive maintenance, system optimization, and smart city planning. Discover how AI-driven data analytics can inform your decision-making, leading to optimized engineering outcomes and smarter designs. Gain insights into industry-specific innovations and trends that keep you ahead of the curve. But as with any technological advancement, there are considerations to be mindful of. Dr. Alex Johnson discusses the ethical, security, and reliability challenges posed by AI integration and provides crucial strategies to mitigate these risks, thereby building trust and inspiring confidence in AI-driven engineering environments. Incorporating a complete, step-by-step guide on AI project integration, this book serves as your professional blueprint. Engage with a motivated, forward-thinking community of engineers who are transforming their careers and projects to meet the demands of tomorrow. Invest in your future by staying informed and leading with innovation. Empower yourself with the cutting-edge knowledge found in "The AI Blueprint: Revolutionizing Engineering with Intelligent Systems" and prepare to revolutionize your approach to engineering with AI. This book is not just a guide-it's your pathway to transforming the future of engineering. AI in engineering, engineering innovation, AI tools, machine learning in design, intelligent systems, predictive maintenance, smart city planning, data analytics in engineering, AI-driven solutions, neural networks, real-world AI applications, operational efficiency, project-oriented AI, AI insights, digital transformation, engineering best practices, AI challenges, technology integration, engineering trends, sustainable engineering
Explainable Interpretable And Transparent Ai Systems
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Author : B. K. Tripathy
language : en
Publisher: CRC Press
Release Date : 2024-08-23
Explainable Interpretable And Transparent Ai Systems written by B. K. Tripathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Technology & Engineering categories.
Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains. Features: Presents a clear focus on the application of explainable AI systems while tackling important issues of “interpretability” and “transparency”. Reviews adept handling with respect to existing software and evaluation issues of interpretability. Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression. Focuses on interpreting black box models like feature importance and accumulated local effects. Discusses capabilities of explainability and interpretability. This book is aimed at graduate students and professionals in computer engineering and networking communications.