Publisher: K-i-s-publishing
AI Blueprints. How to build and deploy AI business projects
Dr. Joshua Eckroth
AI Blueprints gives you a working framework and the techniques to build your own successful AI business applications. You’ll learn across six business scenarios how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow. Along the way you’ll discover the practical techniques to build AI business applications from first design to full coding and deployment.The AI blueprints in this book solve key business scenarios. The first blueprint uses AI to find solutions for building plans for cloud computing that are on-time and under budget. The second blueprint involves an AI system that continuously monitors social media to gauge public feeling about a topic of interest - such as self-driving cars. You’ll learn how to approach AI business problems and apply blueprints that can ensure success.The next AI scenario shows you how to approach the problem of creating a recommendation engine and monitoring how those recommendations perform. The fourth blueprint shows you how to use deep learning to find your business logo in social media photos and assess how people interact with your products. Learn the practical techniques involved and how to apply these blueprints intelligently. The fifth blueprint is about how to best design a ‘trending now’ section on your website, much like the one we know from Twitter. The sixth blueprint shows how to create helpful chatbots so that an AI system can understand customers’ questions and answer them with relevant responses.This book continuously demonstrates a working framework and strategy for building AI business applications. Along the way, you’ll also learn how to prepare for future advances in AI. You’ll gain a workflow and a toolbox of patterns and techniques so that you can create your own smart code.
Hadelin de Ponteves
Welcome to the Robot World … and start building intelligent software now!Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch.AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination.
AI Explained. Uncovering the Reality, Risks, and Rewards of Artificial Intelligence
Nigel Poulton
This book leads readers on a comprehensive journey through artificial intelligence, beginning with an introduction to its foundational concepts. Early on, readers are guided through what AI is and why it’s becoming a transformative force in today’s world. They’ll then explore the technical processes behind AI creation, learning how data and algorithms power intelligent systems, making complex technology accessible and understandable.Further on, the book delves into practical applications and ethical considerations. Readers discover the positive ways AI is improving our lives, from breakthroughs in healthcare to innovations in everyday industries. Following this, it presents a balanced view of AI’s potential risks, discussing the ethical concerns and societal challenges that arise with misuse, encouraging thoughtful reflection on AI’s impact.Towards the end, the book tackles critical future challenges and solutions. It discusses the threat of rogue AI behaviors and highlights strategies to prevent AI from acting unpredictably. The final section offers an optimistic outlook on the responsible development of AI, encouraging readers to envision a future where AI can drive positive change. By journey’s end, readers will feel equipped with a nuanced understanding of AI, its real-world significance, and its ethical implications.
Oliver Theobald
The course begins with an engaging introduction to the world of Artificial Intelligence, making it approachable for absolute beginners. We unravel the mysteries of AI's evolution, from its historical roots to the cutting-edge technologies shaping our future. By explaining complex concepts in simple terms, this course aims to illuminate the path for those curious about how AI impacts our world.The course focuses on the core components of AI, including machine learning, deep learning, and natural language processing, before advancing to more specialized topics like generative AI and computer vision. Each module is designed to build a comprehensive understanding, emphasizing why these technologies are crucial for solving real-world problems and how they're transforming industries.The course wraps up by exploring the ethical considerations and privacy concerns associated with AI, along with a visionary look at the future of work in an AI-driven world. It offers a treasure trove of further resources, ensuring learners have everything they need to continue their exploration of AI.
Oliver Theobald, Alan Turton
Embark on a journey through the fascinating world of artificial intelligence, designed for individuals with no technical background. This audiobook is tailored for marketers, entrepreneurs, students, and professionals who want to engage with AI from a practical and ethical standpoint, without diving into complex algorithms or coding. The audiobook begins with an exploration of AI fundamentals, providing a clear and approachable foundation of concepts, terminology, and real-world applications.As you progress, you'll encounter practical thought experiments designed to make AI's impact more tangible. Each chapter carefully guides you through essential topics such as machine learning, deep learning, and natural language processing, focusing on how these technologies are already affecting industries today. You’ll also explore the ethical implications of AI, understanding how privacy and fairness come into play when designing AI solutions.By the end of this course, you’ll be equipped with the knowledge to participate in crucial discussions and decision-making processes regarding AI in your organization or daily life. This audiobookis ideal for those who want to build a solid understanding of AI without the need for technical expertise, empowering you to think critically and responsibly about AI’s future.
Iain Anderson, Jeff Greenberg
AI for Creative Production is a practical, non-technical guide that helps digital creators, filmmakers, musicians, and writers embrace AI as a tool or collaborator—not a replacement.Beginning with a clear foundation in how modern AI works and its ethical implications, the book offers a hype-free perspective, showing where AI is genuinely useful and where it’s not. It breaks AI into three accessible categories. Starting with Utility AI, tools that help organize and enhance your work, identify the best shots, select image elements, transcribe and search videos, clean audio, and summarize text.You’ll then explore Generative AI, learning to create new text, images, video, and audio with creative control. GenAI doesn’t have to replace your work; you’ll discover tips for better prompting, tools for retouching, and fresh methods for brainstorming and ideation.Finally, you’ll uncover the potential of Automation AI to help edit videos, process photos, and build scripts that streamline your creative workflows.Packed with hands-on examples using accessible tools like Firefly, Runway, Sora, Photoshop, DaVinci Resolve, and ElevenLabs, this book equips you to integrate AI into your practice with clarity and confidence.By the end, you’ll know how to get the best from AI while preserving the unique value of human creativity in an AI-driven world.
AI Networking Cookbook. Practical recipes for AI-assisted network automation and development
Eric Chou, John Capobianco
Transform your approach to network automation with the power of AI LLM assistants guided by hands-on recipes for building custom automation solutions quickly using artificial intelligence.You’ll learn tools and techniques such as Vibe coding for conversational development, OpenAI API scripts, prompt engineering for better outputs, local LLM fine-tuning, combining models with LangChain, and Streamlit-based frontends development. The book progresses from simple Python scripts to advanced AI-assisted automation techniques, including multi-vendor API integration, showing you how AI can enhance network configuration, monitoring, security, and troubleshooting.Each recipe presents realistic mock data, complete code examples, and step-by-step guidance, creating a safe environment for experimentation while building a solid foundation for future production use. Whether you want to automate routine configuration, implement AI-driven troubleshooting, or build compliance monitoring systems, this cookbook helps you connect your networking expertise with the capabilities of modern AI.
Irene Bratsis
AI is rapidly transforming product management, presenting new challenges and business opportunities. As AI-driven solutions become more complex, product managers must bridge the gap between technological capabilities and business needs. This book provides a detailed roadmap for successfully building and maintaining AI-driven products, serving as an indispensable companion on your journey to becoming an effective AI product manager. In this second edition, you'll find fresh insights into generative AI, and responsible AI practices with the most relevant tools for building AI-powered products.Authored by a leading AI product expert with years of hands-on experience in developing and managing AI solutions, this guide translates complex AI concepts into actionable strategies. Whether you're an aspiring AI PM or an experienced professional, this book offers a structured approach to defining AI product vision, leveraging data effectively, and aligning AI with business objectives. With new case studies and refined frameworks, this edition provides deeper insights into ethical AI, cross-functional collaboration, and deployment challenges.By the end of this book, you’ll be equipped with the knowledge to drive AI product success with key techniques for identifying AI opportunities and managing risks in a rapidly evolving landscape.*Email sign-up and proof of purchase required