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Artificial Intelligence All-in-One For Dummies
Chris Minnick (Author), John Paul Mueller (Author), Luca Massaron (Author), Stephanie Diamond (Author), Pam Baker (Author), Daniel Stanton (Author), Shiv Singh (Author), Paul Mladjenovic (Author), Sheryl Lindsell-Roberts (Author), Jeffrey Allan (Author)
9781394341726, Wiley
Paperback / softback, published 19 June 2025
752 pages
23.1 x 18.8 x 4.6 cm, 0.953 kg
A comprehensive roadmap to using AI in your career and in your life Artificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do. Artificial Intelligence All-in-One For Dummies compiles insight from the expert authors of AI books in the For Dummies series to provide an easy-to-follow walkthrough for anyone interested in learning how to use AI. You'll learn how to put artificial intelligence to work for you and your company in a wide variety of situations, from creating office assistants to managing projects and marketing your products. Inside the book: Perfect for professionals curious about the potential and pitfalls associated with generative artificial intelligence, Artificial Intelligence All-in-One For Dummies shows you exactly how AI works and how you can apply it in your own professional and personal life.
Introduction 1 Book 1: Understanding AI Foundations 7 Chapter 1: Delving into What AI Means 9 Chapter 2: Defining Data’s Role in AI 25 Chapter 3: Considering the Use of Algorithms 47 Chapter 4: Pioneering Specialized Hardware 65 Chapter 5: Parsing Machine Learning and Deep Learning 81 Chapter 6: Upholding Responsible AI Standards in GenAI Use 101 Chapter 7: Finding Job Security in an AI World 115 Book 2: Prompting and Generative AI Techniques 131 Chapter 1: Mapping the Lay of the Generative AI Land 133 Chapter 2: Introducing the Art of Prompt Engineering 149 Chapter 3: Navigating the Evolving Landscape of GenAI 161 Chapter 4: Introducing ChatGPT 175 Chapter 5: Getting Started with Microsoft Copilot 189 Chapter 6: Learning Advanced Prompting 203 Book 3: Increasing Productivity with AI 223 Chapter 1: Applying GenAI in Practical Scenarios 225 Chapter 2: Crunching the Numbers with Copilot 237 Chapter 3: Presenting with Copilot 263 Chapter 4: Meeting and Collaborating with Copilot 281 Chapter 5: Working with AI in a Roundup of Business Disciplines 293 Chapter 6: Managing AI Adoption and Change in Your Organization 317 Book 4: Creating Content with AI 333 Chapter 1: Using AI for Ideation and Planning 335 Chapter 2: Managing and Writing Emails with AI 349 Chapter 3: Developing Creative Assets 363 Chapter 4: Producing Long-Form Content 381 Chapter 5: Search Engine Optimization (SEO) in the AI Era 403 Chapter 6: Fine-Tuning Content with Localization and Translation 419 Book 5: AI at Home 433 Chapter 1: Relying on AI to Improve Human Interaction 435 Chapter 2: Using AI to Address Medical Needs 445 Chapter 3: Leveraging AI in Education 465 Chapter 4: Using GenAI in the Real World 481 Chapter 5: Financial Planning and Other Money Matters 491 Chapter 6: Retirement and Estate Planning 501 Book 6: Applying AI in Coding 517 Chapter 1: How Coding Benefits from AI 519 Chapter 2: AI Coding Tools 547 Chapter 3: Coding with Chatbots 571 Chapter 4: Progressing from Plan to Prototype 601 Book 7: Creating Custom AI Solutions 631 Chapter 1: Personalizing the Customer Journey by Using AI 633 Chapter 2: Boosting Online Business Growth with AI 649 Chapter 3: Enhancing Customer Service with Conversational AI Chatbots 665 Chapter 4: Making Custom Copilots 681 Chapter 5: Expanding Copilot’s Capabilities with Plugins 705 Index 717
Subject Areas: Computer science [UY]
