{"product_id":"mongodb-with-ai-a-complete-beginners-guide-to-mongodb-nosql-databases-real-time-applications-and-ai-powered-data-systems-9798199837033","title":"MongoDB with AI: A Complete Beginner's Guide to MongoDB, NoSQL Databases, Real-Time Applications, and AI-Powered Data Systems","description":"\u003cp\u003e • Author(s): Steve Cook\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming Languages - SQL\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLearn the world's most popular NoSQL database - and build AI-powered, real-time data applications on top of it, from scratch.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMongoDB with AI\u003c\/b\u003e takes you from your very first document and collection through aggregation pipelines, replica sets, sharding, MongoDB Atlas cloud deployment, and real-time change streams - and then into integrating modern AI APIs to build intelligent, data-driven systems. Written for the 2026 ecosystem, every chapter is practical, current, and grounded in real-world application development.\u003c\/p\u003e\u003cp\u003eMongoDB powers the backends of eBay, Forbes, and the New York Times. Its flexible document model, horizontal scaling, Atlas Vector Search for native AI embeddings, and built-in Change Streams for real-time event processing make it the database of choice for modern application development. This book teaches you not just how to use MongoDB - but how to architect, scale, and make it intelligent.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat you will learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the NoSQL document model and how it differs from relational databases\u003c\/li\u003e\n\u003cli\u003ePerform CRUD operations, querying, filtering, and indexing in MongoDB\u003c\/li\u003e\n\u003cli\u003eBuild powerful aggregation pipelines for analytics and reporting\u003c\/li\u003e\n\u003cli\u003eDesign flexible schemas and model relationships using embedding and referencing strategies\u003c\/li\u003e\n\u003cli\u003eImplement replica sets, sharding, and high-availability production deployments\u003c\/li\u003e\n\u003cli\u003eDeploy and manage databases on MongoDB Atlas in the cloud\u003c\/li\u003e\n\u003cli\u003eBuild real-time applications using Change Streams and event-driven architecture\u003c\/li\u003e\n\u003cli\u003eIntegrate OpenAI and modern LLM APIs directly into MongoDB-backed applications\u003c\/li\u003e\n\u003cli\u003eImplement semantic search and vector embeddings using Atlas Vector Search\u003c\/li\u003e\n\u003cli\u003eComplete five real-world projects: a real-time analytics dashboard, AI recommendation engine, smart notification system, semantic search application, and an AI-assisted monitoring platform\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003cb\u003eFour parts, zero filler: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003ePart I\u003c\/i\u003e builds your MongoDB foundation - documents, collections, CRUD, querying, indexing, aggregation, schema design, transactions, security, and scaling basics.\u003cbr\u003e\u003ci\u003ePart II\u003c\/i\u003e covers advanced topics including replica sets, sharding, Atlas cloud deployment, Change Streams, full-text search, microservices integration, and performance tuning.\u003cbr\u003e\u003ci\u003ePart III\u003c\/i\u003e connects MongoDB to the AI era with practical chapters on LLM API integration, AI-assisted query generation, prompt engineering for database workflows, semantic search, vector databases, recommendation systems, and intelligent real-time data pipelines.\u003cbr\u003e\u003ci\u003ePart IV\u003c\/i\u003e delivers five complete guided projects you build from start to finish.\u003c\/p\u003e\u003cp\u003eThe book includes a MongoDB quick reference, an aggregation stage reference, an index strategy reference, a common errors and solutions guide, an Atlas quick setup guide, and a recommended learning path - everything consolidated in one place.\u003c\/p\u003e\u003cp\u003eIf you are building web applications, microservices, real-time systems, or AI-powered backends, MongoDB is the database that scales with you - and this book is the complete guide to mastering it.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePerfect for: \u003c\/b\u003e developers new to NoSQL databases, backend engineers building modern web and mobile applications, data engineers working with flexible or evolving data models, and developers who want to add AI and semantic search capabilities to their database layer.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47968409944215,"sku":"9798199837033","price":1563.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798199837033.webp?v=1782917868","url":"https:\/\/atlanticbooks.com\/products\/mongodb-with-ai-a-complete-beginners-guide-to-mongodb-nosql-databases-real-time-applications-and-ai-powered-data-systems-9798199837033","provider":"Atlantic Books","version":"1.0","type":"link"}