Engineering Technology

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.

"Reliability Engineering in the Cloud: Strategies and Practices for AI-Powered Cloud-Based Systems" provides the roadmap to building systems that withstand failures, scale on demand, and deliver consistently exceptional experiences. Combining reliability engineering, AI-driven automation, and lean practices, this audiobook shows technology and business leaders how to turn cloud reliability into a strategic asset.

Social Engineering: The Science of Human Hacking reveals the craftier side of the hacker's repertoire - why hack into something when you could just ask for access? Undetectable by firewalls and antivirus software, social engineering relies on human fault to gain access to sensitive spaces; in this book, renowned expert Christopher Hadnagy explains the most commonly used techniques that fool even the most robust security personnel and reveals how these techniques have been used in the past.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

En octubre de 1927, veintinueve de los científicos más brillantes del mundo se reunieron en el Quinto Congreso Solvay. Diecisiete de ellos acabarían recibiendo el premio Nobel. Aquel encuentro, inmortalizado en una célebre fotografía, marcó el comienzo de una revolución intelectual sin precedentes. Allí, figuras como Marie Curie, Niels Bohr, Werner Heisenberg, Erwin Schrödinger o Albert Einstein debatieron los fundamentos de la recién nacida teoría cuántica, una forma radicalmente nueva de entender la naturaleza.

Social Engineering: The Art of Human Hacking does its part to prepare you against nefarious hackers. Now you can do your part by putting to good use the critical information this audiobook provides.

The gap between "wanting to build an app" and actually shipping one has never been smaller. While everyone talks about AI, the real winners are using next-generation tools like Cursor AI, Claude Code, and Google Antigravity to ship products at lightning speed. Build In Public is your complete 60-day roadmap from idea to launched, monetized application—even if you've never coded before. Written by Michael Patterson, an AI engineer leading 120+ developers at a Fortune 500 company, this isn't theory. It's a proven playbook for modern indie hackers and solopreneurs.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.

Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.

It’s been over a year since The Day. Morgan and his companions have fought to stay alive and he finally managed to get to his parents and bring them back. Their situation is getting better every day, but there are still challenges ahead of them. With a desire to return to a normal life on everyone’s mind, the group starts taking steps to do just that. Thinking bigger they tackle some major projects that will provide valuable resources. However, there are others out there making plans for them as well.

Want to know how AT&T's Bell Labs developed semiconductor technology - and how its leading scientists almost came to blows in the process? Want to understand how radio and television work - and why RCA drove their inventors to financial ruin and early graves? Conquering the Electron offers these stories and more, presenting each revolutionary technological advance right alongside blow-by-blow personal battles that all too often took place.

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.

The world is never finished catching up with Vaclav Smil. In his latest and perhaps most digestible book, Invention and Innovation, the prolific author—a favorite of Bill Gates—pens an insightful and fact-filled jaunt through the history of human invention. Impatient with the hype that so often accompanies innovation, Smil offers in this book a clear-eyed corrective to the overpromises that accompany everything from new cures for diseases to AI.

Software startups make global headlines every day. As technology companies succeed and grow, so do their engineering departments. In your career, you'll may suddenly get the opportunity to lead teams: to become a manager. But this is often uncharted territory. How can you decide whether this career move is right for you? And if you do, what do you need to learn to succeed? Where do you start? How do you know that you're doing it right? What does "it" even mean? And isn't management a dirty word? This book will share the secrets you need to know to manage engineers successfully.

Most people struggle with AI because they don't know how to talk to it. This hands-on beginner's guide gives you the tools, confidence, and structure to get real results from today's most powerful AI tools, no tech skills required. The AI Workshop is your plain-language guide to mastering prompt engineering, the skill that turns vague AI requests into powerful results. Whether you're a student, business owner, creative professional, or simply curious about AI, this book shows you how to stop guessing and start getting consistent, high-quality outputs.

Need networking know-how, but don't know where to turn? Run-don't walk-to the no-nonsense networking guidance offered in this friendly guide! Whether you're a networking administrator or an everyday computer user looking to set up a network in your home or office, Networking for Dummies, seamlessly gets you connected with the basics and gives you the knowledge to work out whatever kinks may come your way-in no time.

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

Most companies developing software employ something they call "Agile." But there's widespread misunderstanding of what Agile is and how to use it. If you want to improve your software development team's agility, this comprehensive guidebook's clear, concrete, and detailed guidance explains what to do and why, and when to make trade-offs.