Preface
The demand for artificial intelligence (AI) skills in the enterprise Java world is exploding, but let’s face it: learning AI can be intimidating for Java developers. Many resources are too theoretical, focus heavily on data science, or rely on programming languages that are unfamiliar to enterprise environments. As seasoned programmers with years of experience in large-scale enterprise Java projects, we’ve faced the same challenges. When we started exploring AI and large language models (LLMs), we were frustrated by the lack of practical resources tailored to Java developers. Most materials seemed out of reach, buried under layers of Python code and abstract concepts.
That’s why we wrote this book. It’s the practical guide we wish we had, designed for Java developers who want to build real-world AI applications using the tools and frameworks they already know and love. Inside, you’ll find clear explanations of essential AI techniques, hands-on examples, and real-world projects that will help you integrate AI into your existing Java projects.
Beyond Prototypes: Building Resilient AI-Infused Applications with Java
When we started circulating the early draft release of this book, we quickly received a ton of excitement. But one comment stuck with me that went along the lines of: “Everybody is an AI expert these days, and unless you have 10 years of experience as a data scientist, you should not write a book like this.” That strong sentence automatically raised the imposter ...
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