Resources | MongoDB

AI Fundamentals with MongoDB

The leap from AI experimentation to real application development depends on a data layer that can retrieve relevant context, ground outputs in your own data, and support more capable agentic experiences. This three-part webinar series gives developers a practical path to build AI-powered applications with MongoDB, starting with vector search, moving into retrieval-augmented generation (RAG), and finishing with AI agents that use tools and memory. This series is designed for developers who want more than high-level AI theory. Across three sessions, attendees will learn how to search by meaning, store and query embeddings, design retrieval workflows, and understand how orchestration and memory come together in agent-based applications. Each session is built around the MongoDB Skill Badge curriculum, giving attendees a focused way to build practical AI skills and validate what they have learned. The series is designed to help developers move from early AI curiosity into hands-on implementation patterns they can continue building on after the webinars end. Series schedule: Part 1: Vector Search Fundamentals October 1 - 11 a.m. ET Learn how to leverage MongoDB Vector Search to build intelligent, AI-powered search experiences. This session covers semantic search, embeddings, indexing, and vector retrieval so attendees understand how to search based on meaning rather than keywords alone. Part 2: RAG with MongoDB October 8 - 11 a.m. ET Learn how to build retrieval-augmented generation applications with MongoDB. This session covers RAG architecture, chunking strategies, retrievers, and how to create a RAG application that can answer questions based on your own data. Part 3: AI Agents with MongoDB October 15 - 11 a.m. ET Learn how to build AI agents with MongoDB by understanding tools, decision-making, and memory. This capstone session introduces multi-tool agents, function calling, and how MongoDB can support both knowledge retrieval and persistent memory for agentic applications. Register now to secure your place. Even if you can’t attend the live sessions, we’ll automatically send you a link to watch the recorded sessions on-demand. Note: To provide the best possible learning experience, this session was pre-recorded by a MongoDB expert. However, attendees will still have the opportunity to engage live with MongoDB experts throughout the session, followed by a live Q&A to address incoming questions.

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Intro to MongoDB 3-Part Webinar series

Ready to elevate your database game? Register for the "Intro to MongoDB Series" and unlock the full potential of MongoDB’s modern data platform. This three-part webinar series is your essential guide to mastering MongoDB, from initial deployment to advanced querying and data modeling. Webinar #1: Intro to MongoDB Join Senior Developer Advocate Jesse Hall as he demystifies MongoDB and showcases the unparalleled advantages of the document data model. This session is your fast track to getting up and running with MongoDB Atlas. In this webinar, you’ll learn how to: Create your first cluster, add an IP address, and set up a database user. Load sample data using a Next.js e-commerce demo app. Connect to your database effortlessly. Watch Webinar #1 on-demand now Webinar #2: Intro to Data Modeling Ever wondered how to perfectly design your data for an application? This webinar tackles that frequently asked question head-on. We’ll explore the crucial considerations for effective data modeling, ensuring your application performs at its peak. You will learn: The key differences in data modeling between MongoDB and RDBMS. Essential considerations for modeling data specifically with MongoDB. How to supercharge the document model using powerful schema design patterns. Watch Webinar #2 on-demand now Webinar #3: Intro to Queries and Aggregation Unlock the true power of your data with the MongoDB Query API and the Aggregation Pipeline. As your data evolves in complexity, these high-precision tools become indispensable for intelligently retrieving, processing, and analyzing your rich JSON documents. We'll cover: Best practices you can leverage to avoid commonly observed anti-patterns Optimizations MongoDB performs during aggregation pipeline parsing. Tips and tricks to significantly improve your query performance. Watch Webinar #3 on-demand now

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The A to Z of Building AI Agents

Aug 28, 2025 12 - 2 p.m. ET 2025 is the year of AI agents, and you don’t want to miss out! In this two-hour workshop, you’ll learn the core concepts behind AI agents, like reasoning, tools, and memory. We’ll cover different agent architectures, and then you'll get hands-on building a MongoDB learning agent. You'll get all the resources you need, including Jupyter Notebook templates with pseudocode, to guide you through the practical exercises. Here's what you'll take away: Master the foundational concepts of AI agents, including reasoning, memory, and tools. Learn to build production-grade agentic applications using MongoDB. Develop controllable, reliable agentic workflows with LangGraph. Plus, when you complete the workshop, you'll earn a MongoDB skills badge to showcase your new expertise! In today’s rapidly evolving technological landscape, staying ahead means embracing the power of AI. Equip yourself with the essential knowledge and practical skills to build the next generation of intelligent applications. Register now by filling out the form to secure your spot! Next up Enrich Your Applications with AI: A Hands-On Guide to MongoDB Atlas Vector Search - July 31 Building RAG Application Using MongoDB - Aug 14

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People Who Ship Ep 2: From prototype to production

Hear from developers shipping production-grade AI applications built on MongoDB. This episode features Noam Rubin, a software engineer on Vanta’s AI platform team. Check out the recent episode of our “People Who Ship” series, where you'll hear from developers shipping production-grade AI applications with MongoDB. In this episode, you will hear from Noam Rubin, a software engineer on the AI platform team at Vanta. Noam will share invaluable insights into what it takes for his team to take gen AI features from prototype to production at Vanta. You will learn: The importance of experimentation What makes a good prototype How to integrate prototypes into real products The lifecycle of an AI feature What’s hard about building AI agents Register now for real-world insights from teams using AI to solve real business challenges. No hype—just actionable knowledge you can apply to your own AI projects.

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Intro to MongoDB 3-Part Webinar series

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Intro to MongoDB Search on Atlas Webinar HK

MongoDB Search on Atlas combines the power of Apache Lucene — the technology behind the world’s most popular search engines — with the efficiency, scale, and resilience of MongoDB Atlas to make it easier than ever to integrate fast, relevance-based search capabilities into all of your MongoDB applications. This webinar will show you how to search through different data types, including text, numbers, dates, and geoJSON and demonstrate a variety of search capabilities.

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Build Real AI Success: From Vectors to Value with MongoDB Atlas on Azure

Learn how leading enterprises are building intelligent, AI-driven applications using MongoDB Atlas and Microsoft Azure by watching our on-demand webinar. In this session, MongoDB and Microsoft experts explore how Atlas on Azure powers the next generation of AI with the use of RAG, machine learning, and agentic systems. Agentic AI is reshaping the future of application development, enabling systems to reason, act autonomously, and evolve in real time. But success with agentic systems requires a data foundation that is secure, scalable, and flexible enough to handle hybrid search, vector embeddings, and transactional workloads all in one. Watch “From Vectors to Value: Why MongoDB Atlas on Azure for Agentic Systems” to learn how leading enterprises are building intelligent, AI-driven applications using MongoDB Atlas and Microsoft Azure. Topics covered include: Building powerful agentic systems with Azure AI Foundry and MongoDB’s native support for vector search, hybrid search, and real-time reasoning. Optimizing storage and compute wth Atlas Search Nodes on Atlas for gen AI-specific workloads. Deploying securely with deep Azure integration and industry-leading encryption capabilities Watch the session at your convenience and find out how MongoDB Atlas on Azure can take you from pilot to production faster, with the flexibility to adapt, the security to scale, and the intelligence to act.

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Adopting AI-Driven Transformation with MongoDB, Capgemini and AWS

Our recent webinar, “Adopting AI-Driven Transformation with MongoDB, AWS, and Capgemini,” is now available on demand. In this webinar, presenters from MongoDB, AWS, and Capgemini discuss an AI-powered integration enhances customer engagement, streamlines operations, and drives growth across industries. Watch this webinar to learn how to: Seamlessly integrate AI-driven capabilities into operations and core applications. Move beyond legacy limitations and unify data across disparate, siloed systems. Accelerate application development and shrink time-to-market with prebuilt accelerators for industry-specific domains. Use AWS services, like Amazon Lex and AWS Lambda to enable personalized, scalable conversational AI across channels.

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Session 1 - Data Modeling for MongoDB

In this workshop on data modeling to learn how MongoDB’s flexible document model compares to traditional relational models. Together, we’ll walk through the MongoDB data modeling methodology: Identify entities Quantify application workloads Model relationships with embedding or referencing We’ll apply this methodology through practical exercises to build the schema for a sample application—a library management system. Additionally, you will learn how to use MongoDB’s schema validation to ensure data integrity and consistency. At the end of this workshop, you will have the opportunity to earn the Relational to Document Model MongoDB skill badge that you can add to your LinkedIn profile.

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Session 2 - Schema Design Patterns and Antipatterns

In this hands-on data modeling workshop, we will explore common MongoDB schema design patterns and learn how to avoid antipatterns. You will get first-hand experience with the following patterns: Extended reference Computed Inheritance We’ll also cover common schema design antipatterns: Unbounded arrays Bloated documents You’ll learn not only how to identify these antipatterns but also why they can be detrimental to your database’s performance. At the end of this workshop, you’ll have the opportunity to earn the Schema Design Patterns and Antipatterns MongoDB skill badge that you can add to your LinkedIn profile.

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Session 3 - Simplify Data Processing with the Aggregation Framework

Elevate your querying skills with this hands-on workshop. Dive deep into MongoDB's Aggregation Framework, unraveling its potential to construct intricate queries. Join us for a hands-on experience, where you'll tackle exercises that empower you to use aggregation pipelines effectively. By the end, you'll wield the tools you need to conquer complexity and harness MongoDB's querying prowess. At the end of this workshop, you’ll have the opportunity to earn the Fundamentals of Data Transformation skill badge that you can add to your LinkedIn profile.

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Back to Basics 深入淺出 - MongoDB 零基礎快速上手

本次研討會中，您將深入掌握「文件型資料庫」的核心知識，剖析其如何以靈活性與擴展性，成為傳統關聯式資料庫的熱門替代方案。除了理論解析，您還能獲得實戰建議，學習如何充分發揮MongoDB的技術潛能。透過「溫故知新」系列網路研討會，我們將引導您探索全球最普及的NoSQL資料庫——MongoDB的基礎架構與設計精髓。無論您是初探資料庫領域的新手，或已具備技術背景的開發者，本活動皆能為您提供關鍵洞見與實用工具，讓您在雲端時代的數據浪潮中掌握先機、脫穎而出！

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