Resources | MongoDB

Intro to MongoDB: Fundamentals Series

Ready to elevate your database game? Join our three-part fundamentals webinar series and build a strong foundation in MongoDB, from core concepts and architecture to schema design and day-to-day data operations. This series is designed for teams who are new to MongoDB or looking to strengthen their fundamentals with a more practical, skill-based path. Each session is built around an Essentials Skill Badge and focuses on the foundational concepts needed to start building modern, scalable applications with confidence. Across three consecutive sessions, you will move through the fundamentals in the right order. We begin with MongoDB’s document model and architectural strengths, then show how to translate relational thinking into effective document-based schema design, and finish with the CRUD methods and query techniques used to work with data in real applications every day. Series schedule: Part 1: MongoDB Overview June 11 - 11 a.m. ET Discover the core concepts and architectural strengths of MongoDB. Learn how the document model, dynamic schema design, distributed architecture, and support for nested and semi-structured data make MongoDB a powerful choice for modern application development. Part 2: Relational to Document Model June 18 - 11 a.m. ET Learn how to map relational models to MongoDB’s document model and design schemas around real application workloads. We’ll cover data relationships, when to embed versus reference, and how to use schema validation to enforce structure where needed. Part 3: CRUD Operations June 25 - 11 a.m. ET Learn how to perform create, read, update, and delete operations in MongoDB and build effective queries using filters, operators, sorting, limiting, projection, and document counts. This session gives you the practical query skills needed to start working with MongoDB data immediately. Register once to secure your place for all three sessions. Even if you can’t attend all live sessions, an on-demand recording will be sent to you via email if you are registered. 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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Building Business-Critical Financial Systems with MongoDB

June 25 | 11 a.m. UAE Financial institutions across the Middle East are operating systems where downtime, data inconsistency, or latency directly impact revenue, customer trust, and regulatory compliance. While traditional SQL databases remain central to core banking, leading financial institutions such as Network International are already leveraging MongoDB to run business-critical transactional platforms —including payment processing and real-time financial services—where high throughput, low latency, and continuous availability are non-negotiable. These modern systems require a data platform that can handle complex, evolving data models while scaling seamlessly under unpredictable workloads, without introducing additional architectural complexity. In this webinar, together with Network International, we will explore how MongoDB is used to power business-critical, transactional financial systems that require high availability, strong consistency, and operational simplicity. We will demonstrate how a modern data platform can support mission-critical workloads—from high-throughput transaction processing to real-time customer-facing services—while reducing architectural complexity and enabling future capabilities such as AI and advanced analytics. Special attention will be given to multi-region resilience, data sovereignty, and cloud portability , key requirements for financial institutions operating across the GCC. Speakers: Alessandro Haag, Principal Solutions Architect Mir Abul Ula Ali Khan, Vice President, Head of Engineering, Network International

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From Data Silos to Real-Time Intelligence: Unlocking Revenue and Reducing Fraud in Telco

June 2 | 10 a.m. SAST Telecom operators sit on vast volumes of customer, usage, and network data, but siloed systems and batch processing often prevent them from turning that data into real business value. During this live webinar on June 2nd, MongoDB and Codeboard will explore how telcos can build a real-time data layer that unlocks new revenue streams and reduces fraud losses. We’ll cover common legacy stack challenges, proven MongoDB architecture patterns for real-time decisioning at scale, and how our joint solution accelerates key use cases like real-time charging, contextual next-best-offer, and fraud detection. We’ll close with practical steps to modernize telco data architectures, without a risky “big bang” transformation. Speakers: Johann Thooris , Senior Partner Solution Architect Vikas Shetty , Senior Partner Solution Architect, MongoDB Anand Tharanipathy , CEO, Codeboard

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Modernizing legacy: Winning in the age of AI

11th June | 2 p.m. SGT The pressure to integrate AI into your operations is universal. Yet, for many organizations, the ability to deploy is throttled by technical debt and legacy architecture. IDC research shows that 90% of modernization initiatives have failed or stalled, often because they focus on technical swaps rather than business outcomes. There is a cohort of leaders, however, that has cracked this code. These organizations are not just maintaining the status quo; they are leveraging modernization to generate 3x more digital revenue than their peers. In this session, we sit down with Linus Lai, Group Vice President for Technology and Business Services Markets at IDC, and Thorsten Walther, Managing Director of CXO Advisory Asia at MongoDB, to unpack the data behind these leaders and provide a blueprint for your own transformation. During this webinar, you will learn: How the Leaders cohort generates more digital revenue by prioritizing long-term modernization over quick fixes. Why 56% of organizations list AI enablement as the top driver for their database strategy. The economic reality of modernization, where full rewrites deliver roughly 3x the return compared to traditional lift-and-shift migrations. How to shift your funding strategy to move beyond the 89% of organizations held back by technical debt. Join us to get your questions answered live by our expert presenters. If you cannot attend at the scheduled time, please register anyway; we will automatically send you a link to watch the session on-demand once it concludes.

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MongoDB Search Fundamentals Webinar

June 10, 2026 11 a.m. EDT How to power modern search experiences with MongoDB Search Modern users expect search to be fast, intuitive, and accurate. But for developers, building those experiences often means managing a separate search engine and the complex synchronization pipelines that come with it. MongoDB Search changes that by integrating full-text search directly into your database. In this session, we’ll show you how to eliminate architectural complexity while delivering the sophisticated search features your users demand. What you’ll learn: Core principles of lexical search and how the search engine processes text Strategies for creating efficient search indexes that optimize performance Techniques to construct complex queries using operators like autocomplete and fuzzy search Methods for refining results using scoring, filters, and facets Don’t miss this opportunity to learn from our experts and get your technical questions answered in real time. Register today to secure your spot and start building better search experiences.

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Build & Learn Workshop Series: Master Java AI Development with MongoDB and Spring AI

The transition from traditional, rigid database schemas to AI-powered application development requires a new set of skills and a flexible architectural foundation. This six-part, hands-on workshop series is designed to take software developers and architects through the full lifecycle of modern application building—from the core fundamentals of the document model to the orchestration of intelligent AI agents. Throughout this series, you will gain hands-on experience using Java and Spring AI with MongoDB Atlas. You’ll learn how to translate SQL knowledge into powerful MongoDB queries, leverage the aggregation pipeline for complex data processing, and implement advanced AI patterns like retrieval-augmented generation (RAG). Workshop #1: MongoDB Overview Explore the architectural strengths of the document model, dynamic schema design, and distributed architecture through real-world examples. Watch Webinar #1 on-demand now Workshop #2: MongoDB CRUD Operations in Java Learn to perform create, read, update, and delete (CRUD) operations by translating SQL concepts into the Java-based MongoDB Query API. Watch Webinar #2 on-demand now Workshop #3: Aggregation Framework with Java Master the aggregation pipeline framework to perform complex data filtering, grouping, and transformations. Watch Webinar #3 on-demand now Workshop #4: Vector Search with Spring AI June 3, 11 a.m. ET Build intelligent search experiences using MongoDB Atlas Vector Search, covering embedding generation and vector indexing. Workshop #5: RAG with MongoDB and Spring AI June 17, 11 a.m. ET Discover how to build RAG applications, optimize retrieval workflows, and utilize Spring AI Advisors to enhance LLM-powered apps. Workshop #6: AI Agents with MongoDB and Spring AI July 1, 11 a.m. ET Understand orchestration and agent memory while learning how to integrate AI models with real-time databases. Join us to level up your knowledge and gain the proficiency needed to build the next generation of AI applications. Our expert presenters will be available for a live Q&A during each session to address your specific technical questions. If you cannot attend a live session, register anyway to receive the link to watch the recorded session on-demand.

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Build and Learn: Masterclass for Architecting AI with MongoDB

Build and Learn: The Masterclass Series for Architecting AI with MongoDB Master the architecture of the next generation of applications. Join our series of hands-on workshops to move from AI fundamentals to deploying sophisticated, production-grade agentic systems on a unified data platform. Workshop #1: Vector Search: Beginner to Pro Supercharge your applications by unlocking the power of semantic search. We demystify core vector concepts and explore how to perform and optimize queries within MongoDB. Understand embeddings and intelligent semantic search Optimize performance with pre-filtering and vector quantization Apply vector search to real-world application scenarios Watch #1 on-demand now Workshop #2: Building RAG Apps Using MongoDB June 4, 10 a.m. BST General LLMs lack your organization’s unique context. Learn to bridge that gap by building an end-to-end retrieval-augmented generation (RAG) system from the ground up. Master RAG foundations including chunking and embedding Build a functional chatbot using open-source LLMs Use MongoDB as a unified operational store, vector store, and memory provider Workshop #3: The A to Z of Building AI Agents June 18, 10 a.m. BST Move beyond simple chat and enter the year of the agent. Learn the reasoning, tools, and memory architectures required to build autonomous, learning agents. Explore agent architectures and production-grade workflows Build a controllable MongoDB learning agent Implement reliable workflows using LangGraph Workshop #4: Designing Memory Systems for AI Agents July 2, 10 a.m. BST An agent is only as good as its memory. Learn a practical framework for architecting memory systems that maintain context, learn from experience, and handle long-running tasks. Identify storage patterns for persisting and structuring memories Implement retrieval strategies using metadata and recency signals Manage the memory lifecycle to maintain system performance Reserve your seat for the full series! Don’t miss this opportunity to have your technical questions answered by our expert presenters. Even if you cannot attend the live sessions, register anyway to receive the full recording and resource kit for each workshop on-demand.

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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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Intro to MongoDB 3-Part Webinar series

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Building Gen AI-Enriched Apps with AWS & MongoDB Atlas

Join us for an exclusive webinar exploring the future of AI-driven applications. Learn how MongoDB, in collaboration with Amazon Web Services (AWS), empowers you to quickly and securely build gen AI-powered applications. And discover how to harness the full potential of gen AI by integrating MongoDB with Amazon SageMaker Canvas and Amazon Bedrock. You’ll learn from experts, and you’ll view practical demonstrations showcasing the integration of MongoDB Atlas and Amazon Bedrock. Here's what you'll Learn: How MongoDB's flexible data model enables agile development and iteration. How MongoDB Atlas Vector Search streamlines the machine learning workflow — from data preparation to deployment. How to harness the power of Amazon Bedrock to build scalable, enterprise-ready AI solutions. How other organizations are using MongoDB and AWS to create next-gen AI-powered applications. Join us across the globe at one of these times: May 21, 2024 at 10 A.M. GMT/3:30 P.M. IST May 22, 2024 at 12 P.M. ET June 5, 2024 at 9 A.M SGT / 11 A.M AEST On-Demand Seize this opportunity to unlock the potential of gen AI with MongoDB and AWS. Register now to secure your spot and embark on a journey towards AI-driven innovation. Space is limited, so reserve your spot today!

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