Books

Read the book, do the labs, and gain your CCNP/CCIE Automation certification.

Our brain builds models (you could think of them as apps) to represent what we learn.These models allow us act on what we've learned without thinking. Learn how to build better models (and how to improve them) and at the same time make learning an enjoyable process.

Scrum made human teams 10× faster. Now it's doing the same for AI agents. Here's the architecture.

This 2025 edition of Docker Deep Dive is a true masterpiece. The best-selling Docker book is up-to-date with the hottest Docker technologies and the latest industry trends. This edition includes a brand-new chapter on Docker Model Runner for fast, private LLM-based apps. You won't find a better and more up-to-date book on Docker. Hand-crafted and kept up to date over the past 9 years by best-selling author Nigel Poulton.

Build real AI products with TypeScript. Learn LLMs, RAG, Agents, MCP, and production AI engineering from a frontend developer's perspective.

Need a quick introduction to running an effective EventStorming session? This book is a handy quick start guide for anyone wanting to learn how to facilitate an EventStorming session.

Technology doesn't fail companies. Relationships do. Connection is the answer. Twelve Practices, Thirty Six experts. Must Haves for AI success. Backed by evidence not opinion. Results in multiples, not by margins.

Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.

This book will help you with interview preparation for landing high-paying software engineering jobs in the financial markets industry – Hedge Funds, Banks, Algo Trading firms, HFT firms, Exchanges, etc. Questions that are comparable difficulty level to those asked at top financial firms.

What You'll LearnWhy burnup charts create false certainty, and what they get wrongHow to run Monte Carlo simulation properly, including where "just use Monte Carlo" breaks down with feature WIP and dependenciesHow to forecast across a single team, multiple features, and multi-team initiatives with dependenciesReal examples and free, ready-to-use tools, rather than just theory

This book bridges theory and practice in PD rating modeling, offering practical steps, real-world examples, and a focus on design. It enables readers to shape customized solutions for diverse institutions, transforming the landscape of credit risk modeling.

"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." —Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." —Karolis Urbonas, Head of Machine Learning and Science at Amazon

Unlock the Secrets of MBSE Craftsmanship: Transform Your Organization's Engineering Culture and Excel in Model-Based Systems Engineering. Discover the Art and Philosophy Behind True Mastery.

Explore recipes for both classical quantitative finance approaches to modeling financial data, as well as modern machine learning and deep learning solutions

AI coding agents can move faster than Git’s staging-and-commit workflow.Juju-chu! shows how Jujutsu🐦‍⬛ gives you automatic commits, reliable undo, and a safer way to reshape messy AI-generated changes—while staying compatible with Git and GitHub. For developers who already use Git and want a calmer AI workflow.