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.

The work of engineers surrounds us: from the phones in our pockets to the layout of our cities. These days, engineers even transport some of us to the moon. But the skills that brought the world clean water and telecommunications also produced polluting technologies that could threaten its future. Engineering explores the scientific, social, and philosophical implications inherent in the challenges faced by engineers throughout history. Here, McCarthy presents a future in which engineering is crucial.

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.

Explores how chemicals and nanotechnology are being continuously delivered via chemtrail aerosols by jets, drones, and rockets in the guise of “climate change” Examines the public-private partnerships behind transhumanism, including Big Pharma, GMO agribusiness, DARPA/IARPA...

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.

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.

Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.

Build AI Systems That Actually Work in Production. Artificial intelligence is everywhere — yet most AI projects never make it to real-world deployment. Why? Because building production-grade AI systems requires far more than training a model. It requires reliable data pipelines, scalable architecture, efficient infrastructure, and long-term operational strategy. The Ultimate AI Engineering Bible provides a complete blueprint for designing, deploying, scaling, and maintaining real AI systems.

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.

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.

 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.  

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.

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.

"Understanding Systems Engineering: A Practical Guide to Today’s Technology" explores modern systems engineering with a focus on integrating disciplines to manage complex systems throughout their lifecycle. Informed by the author’s diverse experience, the book addresses challenges professionals face and offers insights into the evolving field.

How well does your organization respond to changing market conditions, customer needs, and emerging technologies when building software-based products? This practical guide presents Lean and Agile principles and patterns to help you move fast at scale - and demonstrates why and how to apply these methodologies throughout your organization. Through case studies, you'll learn how successful enterprises have rethought everything from governance and financial management to systems architecture and organizational culture in the pursuit of radically improved performance.

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.

Salary surveys worldwide regularly place software architect in the top ten best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.

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.

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.

The world of online business is changing fast — and in 2025, ChatGPT and AI tools are leveling the playing field for everyday entrepreneurs. Whether you’re launching your first digital product, automating client work, or scaling your side hustle, this step-by-step guide gives you everything you need to turn ideas into income using the latest AI technologies.