What You'll Learn

10 Chapters · 10 Lessons

  1. 1

    Free Preview

    1. (Included in full purchase)

      Free Preview

  2. 2

    Chapter 1: Introduction to Generative AI in Programming

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      Introduction to Generative AI in Programming

  3. 3

    Chapter 2: Setting up an AI-Powered Development Environment

    1. (Included in full purchase)

      Setting up an AI-Powered Development Environment

  4. 4

    Chapter 3: Learning Java Fundamentals with AI

    1. (Included in full purchase)

      Learning Java Fundamentals with AI

  5. 5

    Chapter 4: Crafting Beyond Java Classes with AI Prompts

    1. (Included in full purchase)

      Crafting Beyond Java Classes with AI Prompts

  6. 6

    Chapter 5: Production-Flavored Mini Projects Using AI

    1. (Included in full purchase)

      Production-Flavored Mini Projects Using AI

  7. 7

    Chapter 6: Debugging and Optimization with AI

    1. (Included in full purchase)

      Debugging and Optimization with AI

  8. 8

    Chapter 7: Limitations, Ethics, and Human Supervision

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      Limitations, Ethics, and Human Supervision

  9. 9

    Chapter 8: The Future of AI in Java Programming

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      The Future of AI in Java Programming

  10. 10

    Index

    1. (Included in full purchase)

      Index

About This Course

Java powers the enterprise — and the developers who know how to direct AI with precision are the ones building and shipping production systems faster than anyone else. Prompting Java for Backend Development shows you how to translate natural-language intent directly into production-ready Java code using AI, accelerating every stage of development from core fundamentals to intelligent agentic applications. You use prompt engineering techniques to generate Java code, debug errors, build microservices, and optimize production systems using modern AI tools and frameworks. Every chapter pairs practical Java development with guided prompt workflows, addressing real enterprise challenges including scalable architecture, code quality, and ethical AI use. The final chapter pushes into intelligent Java application development — building a chatbot using Jlama and an autonomous agentic assistant with Retrieval-Augmented Generation (RAG). Hence, by the end of the book, you can confidently build, evaluate, and ship modern Java applications with AI!

About Your Author

Dorival Querino is a Java Backend Specialist with more than 17 years of experience building enterprise systems for major financial institutions in Brazil. He specializes in Java, Spring, microservices, cloud-native architecture, and AI-assisted development. He is also an active speaker, mentor, author, and cloud-certified technology expert.