In The AI Engineering Bootcamp: Build, Ship, Share, AI Makerspace cofounders "Dr. Greg" Loughnane and Chris "The Wiz" Alexiuk guide the listener through the foundational concepts and code needed to build production-grade Large Language Model (LLM) applications using leading open-source tooling. The book explains the four primary design patterns of generative AI―prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning, and agentic reasoning―and how to leverage them as first principles to build scalable LLM applications that are high-performance and efficient.

You'll find classroom-tested lessons that offer immediate insights into building LLM applications, as well as example projects to give you hands-on experience that can be immediately applied within our company or with your clients today. The AI Engineering Bootcamp provides everything you need, from your initial AI-assisted Interactive Development Environment (IDE) set up and first deployment to the boilerplate Python code you need to prototype LLM, RAG, agent, and multi-agent applications. The book also covers how to prepare your prototypes for production by setting up open-source LLM and embedding model endpoints, leveraging caching for prompts and embeddings, what you need to host and deploy your application on premise, and more.