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Nieuws13 mei 2026

A New Book for the Next Generation of AI Professionals

Stop guessing. Start building. AI is transforming industries, but many struggle to move beyond experiments to reliable, real-world applications.

A New Book for the Next Generation of AI Professionals

Today marks an exciting milestone for Evergreen IT.

We are proud to announce the release of The Fundamentals of AI: From First Principles to the Perfect Prompt by Remco Dekkinga. A practical, no-nonsense guide designed to help professionals truly understand how modern AI systems work and how to use them effectively in real-world environments.

AI is evolving rapidly, but many organizations still struggle with one simple challenge: moving from experimentation to reliable, production-ready usage. This book was written to bridge that gap.

Rather than treating prompting as magic, The Fundamentals of AI approaches AI like engineering. The book explains the underlying principles behind large language models, context windows, embeddings, retrieval, prompt architecture, guardrails, evaluation frameworks, and agentic systems in a structured and accessible way.

Whether you are a developer, architect, technical lead, low-code professional, educator, or simply someone looking to build practical AI solutions, this book provides a step-by-step framework you can immediately apply in your own projects. From writing better prompts to designing trustworthy AI systems, the focus is always on clarity, reliability, and real-world implementation.

Inside the book, u will explore topics such as:

• AI fundamentals and first principles

• Tokens, context windows, and embeddings

• Retrieval-Augmented Generation (RAG)

• Prompt architecture and system design

• Guardrails, evaluation, and AI safety

• Building reliable AI agents and workflows

• Moving from Prompt Engineer to AI Architect

This release reflects Evergreen IT’s vision: helping organizations move beyond AI hype and toward sustainable, production-grade AI adoption.

The future of software is increasingly AI-native. Understanding how these systems behave, where they fail, and how to engineer them responsibly is becoming a core skill for modern technology professionals. Get you copy here

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