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AI - The Art of Prompting
English | 2025 | ASIN: B0FBKJZQLZ | 839 pages | EPUB (True) | 3.47 MB
In the dawn of the 21st century, the world finds itself at the precipice of a technological revolution-one that is reshaping industries, redefining human interactions, and altering the very fabric of our daily lives. Artificial Intelligence (AI), once confined to the realms of science fiction, has emerged as a transformative force, capable of augmenting our capabilities and unlocking unprecedented opportunities. As we stand on the threshold of this new era, the ability to harness AI effectively becomes paramount.

To appreciate the profound impact of AI, we must first understand its journey. From the early days of rudimentary algorithms to today's sophisticated neural networks, AI has undergone a remarkable evolution. Pioneers like Alan Turing and John McCarthy laid the groundwork, envisioning machines that could think and learn. As we progressed through the decades, breakthroughs in machine learning, natural language processing, and computer vision have propelled us into a new age where AI can comprehend, generate, and interact with human language with remarkable proficiency.
As AI technology advances, so too does the need for effective communication with these systems. The skill of prompting-crafting questions and commands that elicit the desired responses-has become an essential art form. Whether you are a writer seeking inspiration, a business leader aiming to streamline operations, or an educator looking to enhance learning experiences, mastering the art of prompting will empower you to unlock AI's full potential.
In this book, we will explore the nuances of prompting, from basic techniques to advanced strategies tailored for various AI engines, including ChatGPT, Claude, Gemini, and others. Each chapter will guide you through the intricacies of each platform, illustrating how to tailor your prompts to achieve optimal results.
With great power comes great responsibility. The rapid development of AI raises critical ethical questions about bias, privacy, and the societal impacts of automation. This book will not shy away from these challenging discussions, emphasizing the importance of creating AI systems that are fair, transparent, and inclusive. As we navigate the complexities of AI, understanding the ethical implications will be essential for harnessing its power responsibly.
As we look to the future, the trajectory of AI continues to evolve. Emerging technologies, such as quantum computing and advanced neural networks, promise to push the boundaries of what is possible. The ability to prompt effectively will remain a vital skill, ensuring that we can guide these powerful tools toward beneficial outcomes.
Join me on this journey as we explore the myriad possibilities that AI offers and learn how to wield it as a powerful ally in our quest for knowledge, creativity, and progress. Welcome to the future-welcome to "AI - The Art of Prompting."

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Ai: A Price Of Dignity by Dean Camus
English | June 05, 2025 | ISBN: 9798231763078 | 36 pages | EPUB | 0.3 MB
AI - A Price of Dignity

by Dean Camus
In an age where artificial intelligence curates our desires, predicts our decisions, and even defines our worth, a pressing question emerges: What are we trading away for progress?
In AI - A Price of Dignity, Dean Camus delivers a profound exploration of the hidden cost behind technological advancement-the erosion of human dignity in the age of hyper-individualism and digital commodification. Through sharp philosophical insights and real-world reflections, Camus examines how algorithms have reshaped identity, how social media has turned the self into a product, and how AI systems, designed to serve us, are quietly reshaping our values.

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AI Act Competence + Compliance - Fundamentals of Artificial Intelligence and Its Safe Use in the European Unionby Markus Kirchmair
English | June 2,2025 | ISBN: 9783819270017 | 280 pages | EPUB | 2 MB
Build AI skills and meet the legal requirements of the new AI regulation: This book provides a thorough overview of what executives, entrepreneurs, freelancers, users, and HR developers need to know and implement now - packed with numerous tips, examples, and tools for quick adoption! Since 1st August 2024, the new AI regulation has been in force: As the world's first comprehensive AI law, the European AI Act presents new challenges for companies in Germany and Austria too. Artificial Intelligence is no longer just an IT matter. It fundamentally transforms how businesses operate, make decisions, and organise processes - across various industries, departments, and individual roles, from manufacturing and medicine to marketing and human resources. Yet, the European AI regulation introduces a host of rules, obligations, and prohibitions: Ignoring them risks fines in the millions, legal consequences, and competitive disadvantages. The competence obligation under Article 4 of the AI Act requires companies to train their employees in the safe use of AI systems and ensure ongoing development. This book is your compass through the complex world of AI - offering practical knowledge, clearly explained and immediately applicable! Artificial Intelligence Made Simple: The technical, legal, and ethical foundations of AI - from machine learning to generative models - are presented in an accessible way, perfect for beginners and decision-makers. Inspiring Practice: Numerous examples and solutions demonstrate how companies can successfully implement AI and build AI skills. Ready to Use: Over 100 actionable tips, along with practical examples of checklists and templates, assist with risk management, training measures, and documentation. In an environment of rapid developments and complex regulations, this book provides the guidance you need. It equips you with the essential knowledge and tools to understand the key requirements of the European AI regulation and turn them into opportunities: From AI risk classification to data protection, copyright, liability issues, technical functionality, and ethical standards - a comprehensive overview to train your staff and future-proof your business.

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[booksz]

AI Agile
English | 2024 | ISBN: 2940180878588 | Pages: 130 | EPUB (True) | 576.56 KB
In the fast-paced world of software development, agility and innovation are key to staying ahead.

AI Agile
delves into how artificial intelligence (AI) is revolutionizing Agile methodologies, offering a comprehensive guide to integrating AI with Agile practices to enhance efficiency, creativity, and decision-making.
This book provides a deep dive into the convergence of AI and Agile, exploring how AI tools and technologies can streamline Agile workflows, optimize sprint planning, and enhance team collaboration. You'll discover practical insights into leveraging AI-driven analytics for more accurate project forecasting, automating repetitive tasks, and gaining actionable insights from data to drive continuous improvement.
AI Agile
covers:
AI Fundamentals for Agile Teams:
Understand the basics of AI and how it can be applied within Agile frameworks.
Enhancing Agile Practices:
Explore how AI can improve sprint planning, backlog management, and release strategies.
Automating Agile Processes:
Learn about tools and techniques for automating routine tasks and reducing manual overhead.
Data-Driven Decision Making:
Utilize AI-driven analytics to make informed decisions and predict project outcomes more accurately.
Real-World Case Studies:
Gain insights from organizations that have successfully integrated AI into their Agile practices.
With practical advice, real-world examples, and a focus on actionable strategies,
AI Agile
is an essential resource for Agile practitioners, project managers, and tech leaders looking to harness the power of AI to drive their Agile initiatives forward.

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AI and Machine Learning for Beginners: A Practical Guide to Data, Algorithms, and Ethical AI Development
English | 2025 | ISBN: 9798227699244 | Pages: 163 | PDF | 2.23 MB
Discover how artificial intelligence is changing the world-and how you can be part of it.

Are you curious about AI but overwhelmed by all the jargon? You're not alone. Most beginners struggle to find a clear, friendly introduction that doesn't feel like a college textbook.
That's why
AI and Machine Learning for Beginners
breaks it all down in plain English. From how algorithms actually work to what makes a neural network "deep," this guide gives you the big picture-without the big confusion.
Inside, you'll learn:
How machines "learn" from data, and what that means in real life
The difference between supervised and unsupervised learning
What powers tools like ChatGPT, facial recognition, and self-driving cars
Which ethical issues developers (and users) need to understand
Hands-on ways to start your own AI journey with open-source tools
Whether you're a student, a tech-curious reader, or a future developer, this book gives you a complete foundation-no prior experience needed.
Start learning the future today-grab your copy of
AI and Machine Learning for Beginners
now.

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AI and Machine Learning in Action: Real-World Solutions for Coders
English | 2025 | ISBN: B0DRWBNZ7D | Pages: 211 | Epub | 4.10 MB
AI and Machine Learning in Action: Real-World Solutions for Coders

Unlock the potential of AI and machine learning with this practical, hands-on guide designed for coders of all skill levels. Whether you're a seasoned programmer or just starting your journey, this book provides everything you need to dive into the world of intelligent systems. Using popular Python frameworks like Scikit-Learn, TensorFlow, and Keras, you'll learn to build, train, and deploy machine learning models to solve real-world problems effectively.
This comprehensive book covers the full spectrum of machine learning-from foundational concepts to advanced AI techniques-using clear examples, minimal theory, and actionable projects.
What You'll Learn:
Get Started with Python for Machine Learning: Understand why Python is perfect for AI, and set up tools like Anaconda, Jupyter, and essential libraries (NumPy, Pandas, MatDescriptionlib).
Master Supervised Learning: Build predictive models using linear regression, decision trees, random forests, and more. Learn to evaluate models with precision.
Explore Unsupervised Learning: Implement clustering, dimensionality reduction, and real-world projects like customer segmentation.
Dive Into Deep Learning: Build neural networks, and convolutional networks (CNNs), and implement tasks like handwritten digit recognition and image classification.
Tackle Natural Language Processing (NLP): Preprocess text, create chatbots, and perform sentiment analysis using Python tools like NLTK and spaCy.
Understand Reinforcement Learning: Implement Q-Learning and build AI for simple games.
Deploy Your Models: Save, export, and deploy AI models using Flask and Streamlit.
Develop End-to-End AI Projects: Gain hands-on experience with 10+ real-world projects, including stock market predictions, fraud detection, and chatbots for customer support.
Why This Book?
Real-World Focus: Learn AI and machine learning through practical examples that solve real problems.
Simple and Accessible: No prior AI experience is required-just basic programming knowledge.
Up-to-date Techniques: Cover the latest tools, frameworks, and methodologies in Python for ML.
Ethics and Challenges: Explore responsible AI development, from mitigating bias to ensuring data privacy.
Whether you aim to develop a strong foundation in machine learning or advance your skills in AI for coders, this book is your go-to resource for staying ahead in the fast-evolving world of technology.

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AI and Me : Mastering the Digital Shift for a Smarter Tomorrow
English | 2025 | ASIN: B0DZ74HCM8 | 103 pages | EPUB (True) | 2.30 MB
"AI and Me: Mastering the Digital Shift for a Smarter Tomorrow" is a guide to understanding and using artificial intelligence in your daily life. It covers a wide range of topics, including the basics of AI, how AI is used in different industries, and the ethical considerations of AI. It also provides practical advice on how to integrate AI into your personal and professional life. The book is written in a clear and concise style that is easy to understand, even for those with no prior experience with AI. It includes a number of real-world examples of how AI is being used today. Overall, it is a comprehensive and informative guide to artificial intelligence. Well-written and easy to understand, it provides a wealth of information on the important topic of artificial intelligence.

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AI and ML for Coders: Applying Core ML algorithms, deep learning models, and MLOps best practices
English | 2025 | ISBN: 9365897823 | 496 pages | True EPUB | 10.63 MB
AI and ML are reshaping industries and creating unprecedented opportunities for innovation. They play a crucial role in helping businesses grow in a multitude of use cases and create applications, used by millions worldwide. Designed for coders of all levels, this book bridges the gap between theoretical concepts and real-world applications, empowering you to build intelligent systems.

In this book, the readers will work with code, tackling fundamental topics like ML, by grasping core principles through practical coding exercises, followed by computer vision, where the code is trained to see the world and learn image processing techniques like feature detection, empowering applications to analyze and interpret visual data. This is followed by natural language processing (NLP), which enables the software to understand and manipulate language by utilizing techniques like tokenization, sentence sequencing, and more. Additionally, this book also talks about sequence modeling, whereby readers master techniques like recurrent neural networks (RNNs) and Long Short-Term Memory (LSTM) networks, as well as MLOps for deploying and scaling your AI/ML solutions on-premise and in the cloud, with tools like TensorFlow Extended (TFX) and Kubeflow.
By the end of the book, readers will learn to build ML models, deploy AI on diverse platforms, and serve models online and in the cloud, ensuring smooth and scalable AI solutions. They will be equipped with the knowledge of industry-standard tools and best practices.
WHAT YOU WILL LEARN
● Implement ML models with Scikit-learn and TensorFlow across various tasks.
● Build NLP applications with text processing, embeddings, and sequence models.
● Deploy and scale ML models using MLOps, TensorFlow Serving, and mobile tools.
● Learn to bring innovative changes and solutions to use cases across industries.
● Develop scalable solutions using CNNs, object detection, and segmentation.
WHO THIS BOOK IS FOR
This book is for coders and software engineers, from novice to experienced, aiming to integrate AI and ML to enhance their IT systems. While familiarity with core software engineering concepts is beneficial, the book assumes only a basic understanding of programming principles, making it accessible to a broad range of professionals.

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AI and the Lottery: ChatGPT Hacks for Smarter Lottery Strategies
English | 2025 | ISBN: B0F7W5QF9V | Pages: 295 | EPUB (True) | 3.96 MB
What if you could go from lottery novice to AI‑powered strategist overnight?

AI and the Lottery is your complete guide to using ChatGPT to play smarter-no matter where you live. Whether you're in the United States, Canada, the UK, Europe, Australia, India, or anywhere else, this book will show you how to harness the power of artificial intelligence to improve your lottery strategy using real data, custom prompts, and smarter decision‑making.
Smart Play Starts Here
This guide goes far beyond lucky numbers. You'll learn how to write effective ChatGPT prompts that analyze past results, uncover patterns in any national or regional lottery, and help you build a customized system of play.
It also introduces lottery wheeling strategies-smart betting techniques that increase your number coverage while saving money. You'll learn how to place fewer bets more effectively, helping you reduce waste and play with precision.
What You'll Learn:
How to use ChatGPT to analyze lottery trends and number frequency
How to craft country‑specific prompts that generate data‑backed insights
How to organize lottery results using spreadsheets and automation tools
How to use wheeling systems to stretch your budget and boost your odds
How to avoid common myths that waste money and time
Global‑Friendly and Fully Customizable
This book is designed for international players. You'll learn how to apply these strategies to any lottery format-Pick‑3, Pick‑5, Pick‑6, Powerball‑style, EuroMillions, and more-regardless of your location. If your lottery has number combinations, this book will help you make sense of them with AI.
No Experience Needed
You don't need to know statistics or programming. All you need is this guide, a ChatGPT account, and a willingness to think differently. In just one evening, you'll go from guessing numbers to generating strategies with confidence-anywhere in the world.
Perfect For:
Players in any country who want to go beyond luck
New users looking to apply AI to a real‑world challenge
Budget‑conscious lottery players who want smarter play options
Play Smarter-Wherever You Are
Don't waste another ticket on random picks. Use ChatGPT to think strategically, play intelligently, and take control of your lottery experience-no matter where you're playing.
Get your copy today. Your smarter strategy starts now.

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AI Applications Made Easy (MEAP V02)
English | 2025 | ISBN: 9781633435872 | 132 pages | PDF,EPUB | 34.44 MB
A fully illustrated guide to building generative AI apps!

In AI Applications Made Easy you'll learn how to create your own AI applications from scratch using free low-code tools like Langflow and KNIME. This fully-illustrated book guides you step by step on your journey from AI user to AI maker.
In AI Applications Made Easy you'll:
Create AI applications from the ground up using low code tools
Build intelligent agents for complex reasoning tasks
Improve AI responses using Retrieval-Augmented Generation (RAG) with your own documents
Connect to external applications via APIs and Model Context Protocol (MCP)
Optimize and fine-tune AI applications
Generative AI applications can be complex to understand and create. This book strips away the low level geekery and shows you exactly how to build Q&A systems, agents, and other powerful AI applications using low code tools. Along the way, you'll gain an intuition for how generative AI works, including core components like large language models, retrieval augmented generation, model context protocol, and more.
about the book
AI Applications Made Easy is written for everyone. Following engaging illustrations and step-by-step guidance, you'll start creating AI applications from the very first chapters. Use prompt engineering to create a healthy recipe generator, use RAG to build automated customer support chatbots, craft marketing assistants that know brand guidelines, and even design a web-enabled financial researcher-all using free low-code tools like Langflow and KNIME.

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AI Chair Design
English | 2024 | ISBN: B0CLJT51DK | Pages: 210 | EPUB (True) | 11.53 MB
This book is an illuminating exploration of Generative AI (GenAI) and its evolution. It contains over 150 AI-generated images and offers a captivating blend of personal narrative and technical expertise. The author shares their journey of using GenAI and provides practical advice and insights.

The bookdoesn't shy away from addressing the ethical and societal concerns surrounding GenAI, such as the potential to diminish human creativity and the risk of replacing human designers. It also emphasizes the challenges of ensuring equitable access to these tools. The author presents a nuanced perspective on the role of AI in design, emphasizing its potential to augment human creativity rather than replace it.
Perfect for designers, artists, educators, and anyone interested in exploring the intersection of technology and creativity. It provides a comprehensive overview of GenAI, invites readers to reflect on its future trajectory, and stresses the ethical responsibilities of harnessing its power.

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AI Conversations Made Simple: 70 Key AI Terms and Questions Every Professional Should Know by Keith Baldwin
English | June 09, 2025 | ISBN: 9781456668914 | 385 pages | EPUB | 10 MB
AI Conversations Made Simple is a practical field guide designed to empower professionals-not just data scientists-with the confidence and clarity to engage in intelligent, productive conversations about artificial intelligence.

This isn't a dry glossary or another technical tome destined for a shelf. Instead, this book gives business leaders, managers, analysts, and curious professionals a fast, accessible reference they can use anywhere-from strategy meetings to casual conversations. With 70 of the most essential AI terms explained in both plain and technical language, readers will learn not only what the terms mean, but why they matter for business, personal productivity, and daily decision-making.

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AI Creator's Toolbox: Mastering Digital Avatars AI Videos and Audio Content for Maximum Impact (AI chatbot)
English | 2025 | ASIN: B0F14XRP56 | 236 pages | EPUB (True) | 1.72 MB
The digital content landscape is evolving rapidly, and Artificial Intelligence (AI) tools are revolutionizing how creators produce engaging content. Whether you're an aspiring YouTuber, audiobook narrator, social media influencer, or digital marketer, this book equips you with the knowledge to harness AI for creating powerful visual and audio content.

This comprehensive guide walks you through the most popular AI tools available today, offering step-by-step instructions on how to use them effectively. From generating lifelike digital avatars to producing professional-quality audiobooks and crafting viral cartoon videos, this book covers it all. With user-friendly explanations, you'll master these tools even if you have no prior technical background.
The book is structured to guide you based on the popularity and effectiveness of various platforms. Each chapter is packed with actionable tips, real-world examples, and insights to help you stand out in the digital world.
Key Features:
Detailed step-by-step instructions for popular AI tools
Easy-to-follow visual guides for creating digital avatars, cartoons, and videos
Tips for monetizing your content on YouTube, Amazon Kindle, and audiobook platforms
Insights into ChatGPT's latest features, including AI-generated videos
Strategies for combining multiple AI tools for maximum creative output
Who Should Read This Book?
Content Creators (YouTubers, Podcasters, Digital Marketers)
Authors looking to create audiobooks quickly and efficiently
Educators and trainers seeking innovative content creation tools
Entrepreneurs aiming to create digital products with minimal investment
Benefits of Studying This Book:
Enhanced Creativity: You'll discover new ways to create engaging visual and audio content without expensive equipment or technical expertise.
Time-Saving Techniques: Learn to automate tedious tasks like video editing, voiceover recording, and scriptwriting using powerful AI tools.
Increased Earning Potential: By mastering AI-driven content creation, you'll unlock opportunities to monetize your work through YouTube, podcasting, affiliate marketing, and self-published audiobooks.
Stay Ahead of Trends: As AI continues to evolve, understanding these tools will position you as a forward-thinking creator in the digital space.
User-Friendly Guidance: The book simplifies complex AI tools, making it accessible for beginners while offering advanced tips for experienced creators.

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[booksz]

AI Data Engineering For Beginners
English | 2024 | ISBN: 2940180608468 | Pages: 160 | EPUB (True) | 534.66 KB
In the age of artificial intelligence, data engineering plays a pivotal role in shaping the future. This comprehensive guide, "AI Data Engineering for Beginners," takes you on a journey through the core principles and practices that underpin the data-driven world of AI. Whether you're an aspiring data engineer, a curious enthusiast, or a student eager to understand the inner workings of AI, this book is your passport to the realm of data.

Key Features:
·
Demystifying AI:
Dive into the world of artificial intelligence, unraveling its secrets and understanding how data engineering is the cornerstone of AI's magic.
·
Data Dynamics:
Discover the diverse landscape of data, including structured, unstructured, and semi-structured data, and learn how to harness its power.
·
Building Blocks:
Explore the tools and techniques for data collection and ingestion, transforming raw data into valuable insights.
·
Storage Solutions:
Navigate the realm of databases, data warehouses, and cloud storage, learning how to choose the right solution for your AI projects.
·
Processing Power:
Understand the significance of data processing, both in batch and real-time, and get hands-on with ETL processes and data pipelines.
·
Integration and Cleaning:
Master data integration, cleaning, and preprocessing, ensuring that your data is clean, consistent, and ready for machine learning.
·
AI-Ready Data:
Prepare your data for machine learning, including feature engineering, training data preparation, and deployment considerations.
·
Real-world Insights:
Gain inspiration from real case studies that showcase the challenges and solutions of AI data engineering.
·
Future-proofing:
Explore emerging trends in AI and data engineering, equipping you with knowledge about what the future holds.
·
Tips for Success:
Learn best practices, tackle common challenges, and discover potential career paths in AI data engineering.
This book bridges the gap between AI theory and practical implementation. With a wealth of real-world examples and hands-on guidance, you'll not only grasp the foundations of AI data engineering but also be ready to tackle your own AI projects. As the world becomes increasingly data-driven, your ability to shape, manage, and leverage data will be a sought-after skill, and "AI Data Engineering for Beginners" is your essential toolkit to step confidently into this exciting field. Whether you dream of revolutionizing industries or simply want to understand the tech shaping our world, this book is your starting point in mastering the data behind the AI revolution.

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[booksz]

AI Driven Security
English | 2024 | ISBN: B0DN416FFY | Pages: 450 | EPUB (True) | 2.67 MB
AI-Driven Security: Governance, Risk, and Compliance in the Age of Automation" is your easy-to-follow guide to understanding how AI (artificial intelligence) is changing the way we keep our digital world safe. Think of AI as the super smart assistant helping industries like healthcare, finance, and even education protect their important systems and information.

In this book, we'll walk through how AI is shifting us from reacting to threats after they happen to stopping them before they even start. You'll get to explore how AI spots risks, monitors security, and helps organizations follow the rules (or "stay compliant") in a world that's becoming more automated by the day. And don't worry about jargon-we'll use simple words, examples, and even illustrations to break down big ideas.
Whether you're leading a team, working in tech, or just curious about the role of AI in cybersecurity, this book makes the future of digital security clear and engaging. Dive in and learn how AI is shaping a safer, smarter tomorrow!

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[booksz]

AI EMPOWERMENT TRANSFORMING EDUCATION & BUSINESS LEADERSHIP: This compelling collection harnesses the potential of artificial intelligence in two pivotal domains: education and business leadership. by Victoria R Summers
English | January 15, 2025 | ISBN: N/A | ASIN: B0DT7MNSC4 | 288 pages | EPUB | 1.50 Mb
Unlock the Power of AI for Education and Business Leadership

Discover how artificial intelligence can revolutionize the way we teach, learn, and lead with this dynamic collection: The Power of AI for Educators and The Power of AI for Business Leaders.Empower Educators: The Power of AI for Educators provides actionable strategies for integrating AI into classrooms, enhancing teaching methods, and preparing students for the future. Perfect for teachers, administrators, and education professionals looking to embrace innovation.Transform Leadership: The Power of AI for Business Leaders offers insights and tools to harness AI for smarter decision-making, increased efficiency, and sustainable growth. Designed for executives and entrepreneurs ready to lead in an AI-driven world.Whether you're shaping the minds of tomorrow or driving innovation in your industry, this bundle delivers practical guidance and visionary strategies for harnessing AI's transformative potential.
Why This Collection?Easy-to-understand insights and actionable tips.Real-world examples tailored for educators and business leaders.A roadmap to success in today's AI-driven landscape.

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[booksz]

AI Engineering: Building Applications with Foundation Models
English | 2025 | ISBN: 1098166302 | 532 pages | Mobi | 19.91 MB
Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach.
AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications.
Understand what AI engineering is and how it differs from traditional machine learning engineering
Learn the process for developing an AI application, the challenges at each step, and approaches to address them
Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work
Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them
Choose the right model, dataset, evaluation benchmarks, and metrics for your needs
Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI.

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[booksz]

AI Engineering in Practice (MEAP V02)
English | 2025 | ISBN: 9781633436305 | 123 pages | PDF,EPUB | 16.41 MB
Write, refine, organize, and optimize AI prompts that generate relevant and useful text and images!

Generative AI models such as ChatGPT, Stable Diffusion, and Gemini can produce amazingly "human-like" news articles, document summaries, images, computer code, and more-if you know how to write effective prompts. This book will teach you the prompt design and authoring skills you need to get useful and relevant responses from AI models, along with advanced prompting techniques for Retrieval Augmented Generation (RAG), building autonomous agents, and data privacy.
AI Engineering in Practice teaches you how to:
Design prompts that generate accurate and readable responses from LLMs
Mitigate hallucinations in LLM output
Domain-aware content generation using RAG
How AI model design affects your prompts
Evaluate, optimize, and organize your prompts
Prompt engineering is the discipline of writing instructions for AI models to generate relevant, accurate, and usable completions. AI Engineering in Practice shows you how to engineer prompts that ensure the outputs of LLMs and other generative AI models exactly match your requirements. You'll learn how to structure your objectives, take advantage of contextual details, and even pick the right model for your task.
about the book
AI Engineering in Practice introduces valuable prompt engineering techniques based on industry usage and AI research. You'll learn by exploring real-world cases and examples, from simple tasks like generating formal emails, to using LLMs for data annotation, classifying tech support tickets, and building custom chatbots. You'll appreciate author Richard Davies' explanation of prompt design patterns and templates that you can customize for your own needs. Along the way, you'll discover automated prompting techniques you can use to create autonomous AI agents, and methods for evaluating your own prompts to ensure they're delivering the quality outputs you desire.

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[booksz]

AI Essentials for Beginners: Learn to Use Artificial Intelligence to Level Up In Your Career, Automate Tasks, and Make Smarter Decisions- No Technical Background Needed
English | 2025 | ISBN: B0F22TGXXW | Pages: 146 | Epub | 866.50 KB
Unlock the Power of AI-Even If You're Not Tech-Savvy!

Are you curious about Artificial Intelligence but feel overwhelmed by all the jargon?
Worried about keeping up with AI's rapid advancements and how they might affect your job or industry? Or do you simply want to make smarter decisions by understanding AI's incredible potential in everyday life?
Good news: AI isn't just for coders and tech experts-it's for everyone.
AI Essentials for Beginners is your step-by-step, jargon-free guide to understanding and leveraging AI without needing a technical background.
Whether you're a busy professional, entrepreneur, student, or simply someone eager to future-proof your skills, this book breaks AI down into easy-to-digest concepts and practical applications you can start using right away.
Inside This Book, You'll Discover:
AI Made Simple - Understand artificial intelligence, machine learning, and deep learning without all the confusion
Practical AI Tools - Step-by-step guidance on using ChatGPT, Generative AI, and other AI-powered platforms
AI for Productivity & Business - Automate tasks, streamline workflows, and make data-driven decisions effortlessly
Career-Boosting AI Skills - Learn how AI is transforming industries and how to gain a competitive edge in your profession
Breaking the "AI Will Take My Job" Myth - Discover how AI creates more opportunities than it replaces
AI for Everyone - How seniors, students, and professionals can integrate AI into daily life
Your Roadmap for Ongoing AI Learning - The best online resources to continue your AI journey
AI & Your Privacy - How to protect your personal data in an AI-driven world
AI's Ethical Implications for the Future - Why it's our responsibility to ensure the ethical usage of tech and AI
A glimpse into the future of AI advancements and how you can stay ahead of the curve
...and so much more!
Who Is This Book For?
✔ Absolute beginners who want to understand AI without getting lost in technical details
✔ Professionals & business owners looking to integrate AI for efficiency and growth
✔ Job seekers & career changers wanting to future-proof their skills
✔ Entrepreneurs eager to harness AI for better decision-making
✔ Anyone curious about AI's real-world impact and how to stay ahead in an AI-driven future
If you've ever thought "AI is too complex for me"-this book will prove you wrong. It's time to stop fearing AI and start using it to your advantage!
In this book, you'll find actionable insights, relatable examples, and explanations that demystify and simplify even the most intimidating aspects of AI.
It's time to dispel the myth that AI is only for tech wizards. Get ready to unleash the power within your grasp, no matter your age or professional background.

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[booksz]

AI Ethics and Governance: A Practical Guide
English | 2024 | ISBN: B0DKW7BJ98 | Pages: 125 | EPUB (True) | 693.18 KB
AI Ethics and Governance: A Practical Guide.

Engr Dr Naila Hina
AI Ethics, understanding human and AI rights.
Navigating human rights in digital era.
Intellectual property protection.

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