 | Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise (2025) by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale |
 | How Large Language Models Work (2025) by Raff, Edward, Farris, Drew, Biderman, Stella |
 | AI for Everyday IT: Accelerate workplace productivity (2025) by LeMaire, Chrissy, Abshire, Brandon |
 | PRACTICAL LARGE LANGUAGE MODELS: An End-to-end Approach to LLMs (Advanced Systems Engineering Book 1) (2025) by Publishing, Heidelmann , Brenner , sophia |
 | Quarkus Unleashed: A Deep Dive into Cloud-Native Java (2025) by Tripathy, P |
 | JUnit & TestNG Demystified: Engineering Clean Java Code with JUnit and TestNG (2025) by Tripathy, Badal |
 | Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI (2025) by Anthapu, Ravindranatha, Agarwal, Siddhant, Webber, Dr. Jim, Risch, Dr. Julian |
 | Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI (2025) by Anthapu, Ravindranatha, Agarwal, Siddhant, Webber, Dr. Jim, Risch, Dr. Julian |
 | Understanding LangChain4j: 2nd Edition (agoncal fascicles) (2025) by Goncalves, Antonio |
 | Understanding LangChain4j: 2nd Edition (agoncal fascicles) (2025) by Goncalves, Antonio |
 | Quarkus Essentials: Definitive Reference for Developers and Engineers (2025) by Johnson, Richard |
 | The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems (2025) by Caldwell, Thomas R. |
 | Designing Large Language Model Applications: A Holistic Approach to LLMs (2025) by Pai, Suhas |
 | Quarkus in Action (2025) by Štefanko, Martin, Martiška, Jan |
 | LLMs in Production: From language models to successful products (2025) by Brousseau, Christopher, Sharp, Matt |
 | AI Engineering: Building Applications with Foundation Models (2025) by Huyen, Chip |
 | Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications (2024) by Berryman, John, Ziegler, Albert |
 | Pragmatic Unit Testing in Java with JUnit (2024) by Langr, Jeff |
 | Build a Large Language Model (From Scratch) (2024) by Sebastian Raschka, Julie Brierley, Manning Publications |
 | Thinking Like A Large Language Model: Become an AI manager (2024) by SUNDARARAJAN, MUKUND |
 | Build a Large Language Model (From Scratch) (2024) by Raschka, Sebastian |
 | LLM Engineer's Handbook: Master the art of engineering large language models from concept to production (2024) by Iusztin, Paul, Labonne, Maxime, Chaumond, Julien, Tahir, Hamza, Antonio Gulli |
 | Hands-On Large Language Models: Language Understanding and Generation (2024) by Alammar, Jay, Grootendorst, Maarten |
 | Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series) (2024) by Ozdemir, Sinan |
 | Large Language Models: A Deep Dive: Bridging Theory and Practice (2024) by Kamath, Uday, Keenan, Kevin, Somers, Garrett, Sorenson, Sarah |
 | Designing Hexagonal Architecture with Java: Build maintainable and long-lasting applications with Java and Quarkus (2023) by Vieira, Davi |
 | The Definitive Guide To QUARKUS: Beginning guide on Quarkus Framework: Build Cloud-Native Enterprise Java Applications etc. (2023) by CUTTS, ERIC |
 | Test-Driven Development with Java: Create higher-quality software by writing tests first with SOLID and hexagonal architecture (2023) by Mellor, Alan |
 | Full Stack Quarkus and React: Hands-on full stack web development with Java, React, and Kubernetes (2022) by Felix, Marc Nuri San, Bueno, Alex Soto |
 | Full Stack Quarkus and React: Hands-on full stack web development with Java, React, and Kubernetes (2022) by Felix, Marc Nuri San, Bueno, Alex Soto |
 | Kubernetes Native Microservices with Quarkus and MicroProfile (2022) by Clingan, John, Finnigan, Ken |
 | Understanding Quarkus: Quarkus 2.x (agoncal fascicles) (2021) by Goncalves, Antonio |
 | Practising Quarkus: Quarkus 2.x (agoncal fascicles) (2021) by Goncalves, Antonio |
 | Reactive Systems in Java: Resilient, Event-Driven Architecture with Quarkus (2021) by Escoffier, Clement, Finnigan, Ken |
 | Learning Test-Driven Development: A Polyglot Guide to Writing Uncluttered Code (2021) by Siddiqui, Saleem |
 | JUnit in Action, Third Edition (2020) by Tudose, Catalin |
 | AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020) by Moroney, Laurence |
 | Beginning Quarkus Framework: Build Cloud-Native Enterprise Java Applications and Microservices (2020) by Koleoso, Tayo |
 | Quarkus Cookbook: Kubernetes-Optimized Java Solutions (2020) by Bueno, Alex Soto, Porter, Jason |
 | Practical Unit Testing with JUnit and Mockito (2019) by Kaczanowski, Tomek |
 | Testing Java Microservices: Using Arquillian, Hoverfly, AssertJ, JUnit, Selenium, and Mockito (2018) by Alex Soto Bueno, Andy Gumbrecht, Jason Porter |
 | Test-Driven Java Development - Second Edition: Invoke TDD principles for end-to-end application development (2018) by Garcia, Alex, Farcic, Viktor |
 | Mastering Software Testing with JUnit 5: Comprehensive guide to develop high quality Java applications (2017) by Garcia, Boni |
 | Junit with examples (2016) by Salunke, Mr Sagar |
 | Testing with JUnit (2015) by Appel, Frank |
 | Java For Testers: Learn Java fundamentals fast (2015) by Richardson, Mr Alan J |
 | Pragmatic Unit Testing in Java 8 with JUnit (2015) by Langr, Jeff, Hunt, Andy, Thomas, Dave |
 | Mastering Unit Testing Using Mockito and JUnit (2014) by Acharya, Sujoy |
 | Practical Unit Testing with JUnit and Mockito (2013) by Kaczanowski, Tomek |
 | JUnit Interview Questions You'll Most Likely Be Asked (2011) by Publishers, Vibrant |