 | 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 |
 | MongoDB in Action, Third Edition: Building on the Atlas Data Platform (2025) by Borucki, Arek |
 | 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 |
 | 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 |
 | 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 |
 | LLMs in Production: From language models to successful products (2025) by Brousseau, Christopher, Sharp, Matt |
 | MongoDB Essentials: Build Faster, Perform Better, Store Smarter, Scale Bigger, and Master Document Database (2025) by Jha, Ranjeet |
 | 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 |
 | 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 |
 | Mastering MongoDB 7.0: Achieve data excellence by unlocking the full potential of MongoDB (2024) by Aleksendrić, Marko, Borucki, Arek, Domingues, Leandro, Hammad, Malak Abu, Hannouch, Elie, Nair, Rajesh, Palmer, Rachelle |
 | Learning Microsoft Azure: Cloud Computing and Development Fundamentals (2023) by Andersson, Jonah Carrio |
 | Practical MongoDB Aggregations: The official guide to developing optimal aggregation pipelines with MongoDB 7.0 (2023) by Done, Paul, Kamsky, Asya |
 | MongoDB Data Modeling and Schema Design (2023) by Coupal, Daniel, Desmarets, Pascal, Hoberman, Steve |
 | Microsoft Azure for Java Developers: Deploying Java Applications through Azure WebApp, Azure Kubernetes Service, Azure Functions, and Azure Spring Cloud (2022) by Mishra, Abhishek |
 | Microsoft Azure for Java Developers: Deploying Java Applications through Azure WebApp, Azure Kubernetes Service, Azure Functions, and Azure Spring Cloud (2022) by Mishra, Abhishek |
 | Cloud Native Infrastructure with Azure: Building and Managing Cloud Native Applications (2022) by Singh, Nishant, Kehoe, Michael |
 | MongoDB Performance Tuning: Optimizing MongoDB Databases and their Applications (2021) by Harrison, Guy, Harrison, Michael |
 | MongoDB Fundamentals: A hands-on guide to using MongoDB and Atlas in the real world (2020) by Phaltankar, Amit, Ahsan, Juned, Harrison, Michael, Nedov, Liviu |
 | AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020) by Moroney, Laurence |
 | MongoDB: The Definitive Guide: Powerful and Scalable Data Storage (2019) by Bradshaw, Shannon, Brazil, Eoin, Chodorow, Kristina |
 | MongoDB on AWS (AWS Quick Start) (2016) by Whitepapers, AWS, Services, Amazon Web |
 | MongoDB: Learn MongoDB in a simple way! (2016) by Warnock, Dan |
 | MongoDB in Action: Covers MongoDB version 3.0 (2016) by Banker, Kyle, Bakkum, Peter, Verch, Shaun, Garrett, Doug, Hawkins, Tim |
 | MongoDB: Master MongoDB With Simple Steps and Clear Instructions (From Zero to Professional) (2016) by Perkins, Daniel |
 | MongoDB Cookbook - Second Edition: Harness the latest features of MongoDB 3 with this collection of 80 recipes – from managing cloud platforms to app development, this book is a vital resource (2016) by Dasadia, Cyrus, Nayak, Amol |
 | The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB (2015) by Plugge, Eelco, Hows, David, Membrey, Peter, Hawkins, Tim |
 | MongoDB Q&A: MongoDB Questions & Answers (2015) by Exponential Mobile |
 | MongoDB Interview Questions & Answers (2015) by Rakesh |
 | MongoDB for Java Developers (2015) by Marchioni, Francesco |
 | Mongodb On AWS: Deployment and administration (2015) by saraswat, sumit |
 | MongoDB Data Modelling (2015) by Franca, Wilson da Rocha |
 | MongoDB Cookbook (2014) by Nayak, Amol |
 | MongoDB Basics (2014) by Membrey, Peter, Hows, David, Plugge, Eelco |
 | NoSQL with MongoDB in 24 Hours, Sams Teach Yourself (Sams Teach Yourself in 24 Hours) (2014) by Dayley, Brad |
 | MongoDB Aggregation Framework Principles and Examples (2014) by Lynn, John |
 | MongoDB High Availability (2014) by Mehrabani, Afshin |
 | MongoDB: The Most Popular NoSQL Database: Article (2014) by Patil, Anand |