The AI Engineering Bootcamp Book: Build, Ship, Share
Self-paced learning and your path to building production-grade AI applications with our proven AI Engineering principles is here.
Pre-order your copy on Amazon today ahead of the official launch on 10/6/2026.
More Trustworthy Self-Paced Learning to Meet You Where You Are
The AI Engineering Bootcamp: Build, Ship, Share is a hands-on guide for developers, builders, technical professionals, and curious learners who want to move beyond AI demos and understand how modern AI systems are built.
With less tool bias, our book has a more current and adaptable option for AI Engineers to work within their own selected tooling and AI environments.
Based on the certification curriculum we've used across hundreds of students and enterprise AI programs, this book provides a practical foundation in AI Engineering, covering the patterns, workflows, and decision-making frameworks behind production-ready LLM applications.
What's Inside?
Inside, you'll learn how our AI Engineering building blocks of retrieval systems, agent workflows, evaluations, context management, tool use, and AI application architecture come together. While seeing real-world cases of reliable AI products that deliver real business value.
Unlike other books mostly focused on a specific framework or vendor, The AI Engineering Bootcamp takes a tool-agnostic approach. You'll gain the principles and practical experience needed to adapt as models, frameworks, and AI tooling continue to change.
- Helpful guidance on choosing what you can build, and why
- AI Engineering foundations and design patterns
- Retrieval-Augmented Generation (RAG) systems
- Agentic workflows and tool calling
- Evaluation and observability strategies
- Production AI application architecture
- Real-world examples with impact and implementation guidance
- Best practices already tested in enterprise environments
Pre-Order Our AI Engineering Bootcamp Book on Amazon Today
Whether you're building your first AI application or deploying enterprise AI systems in production, this book provides a practical roadmap for understanding, building, and improving modern AI solutions.
Launch Date: October 6, 2026
Price: $65 USD
🏗️ Build. 🚢 Ship. 🚀 Share.