Resources | MongoDB

Building Production AI Applications with MongoDB Atlas and Microsoft Azure

October 6, 11 a.m. ET AI applications need more than a model. They need a data foundation that can keep up with changing application requirements, deliver relevant context, and connect cleanly to the services your team already uses. Join MongoDB and Microsoft for a first-touch, practical session on building AI applications with MongoDB Atlas and Microsoft Azure. We’ll start with the fundamentals, show why the document data model fits the way modern applications and agents work with data, and demonstrate an end-to-end natural-language search experience using Atlas, Microsoft Foundry, the MongoDB MCP Server, and the MFlix sample dataset. No prior MongoDB knowledge is required. What you’ll learn: Why a document data model is a natural foundation for applications and AI agents How Atlas brings operational data, vector search, hybrid search, and other data services together on one application data platform How Atlas connects with Microsoft Foundry through the MongoDB MCP Server How to use natural-language search over operational data with Atlas Vector Search and Voyage AI embeddings How to start exploring on the free tier and map your next step to where you are today Register to see the architecture in action, hear from MongoDB and Microsoft experts, and bring your questions to the live Q&A. Can’t attend live? Register anyway and receive the recording to watch on-demand after the webinar.

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Mastering MongoDB Query Performance

Slow queries can hold back your application’s performance. But with the right techniques, you can pinpoint the root causes and take action to resolve them. In this two-part series, we’ll walk you through proven methods to first diagnose slow queries and then optimize them using MongoDB’s powerful tools and best practices. Series schedule: Part 1: Diagnosing Slow Queries 21 October - 10 a.m. BST Learn how to identify and analyze performance bottlenecks using the profiler, explain() output, and diagnostic tools like MongoDB Atlas Performance Advisor. You’ll walk away knowing how to uncover the “why” behind slow-running operations. Part 2: Optimizing Slow Queries 28 October - 10 a.m. BST Once you’ve identified what’s slowing things down, learn how to optimize queries through effective indexing strategies, query rewrites, and MongoDB’s monitoring and optimization tools. What you’ll gain from this series: A practical framework for diagnosing slow queries Step-by-step methods for optimizing performance Real-world examples from MongoDB experts An opportunity to earn 2 unique MongoDB Skill Badges 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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Agentic AI for Insurance: Modernize Your Data Foundation with MongoDB and AWS

October 15 - 11 a.m. ET Agentic AI starts with a modern data foundation Agentic AI is only as effective as the business context it can access. For insurers, that context spans policies, claims, customer information, third-party risk, documents, and real-time signals, often across fragmented legacy systems. Join Jeff Needham, Field CTO, Insurance at MongoDB, and Terry Buechner, Principal Insurance Specialist, Global Core Systems Lead at Amazon Web Services (AWS), to explore how insurers can modernize applications and data on AWS to create a more flexible foundation for intelligent insurance experiences. You’ll learn how MongoDB and AWS work together to help insurers simplify architecture, connect disparate systems, and enable intelligent applications and agents to securely retrieve, understand, and act on enterprise data. What you’ll learn: Start with an insurance-ready data foundation: Understand how the quality, richness, and accessibility of business context shape what agentic AI can do across insurance workflows. Modernize without adding more sprawl: See how AWS and MongoDB can help connect legacy systems, consolidate application and data needs, and reduce architectural complexity and operational overhead. Build a practical roadmap to AI: Learn how to evolve from fragmented systems of record and insight toward an AI-ready foundation for underwriting, claims, pricing, and loss prevention. Design for governed retrieval: Explore how insurance data can be organized so intelligent agents can access relevant context while security, governance, and auditability remain part of the architecture. Register to hear from AWS and MongoDB experts, see the architecture behind a modern insurance context layer on AWS, and bring your questions to the live Q&A.

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Mastering MongoDB Query Performance

Slow queries can hold back your application’s performance. But with the right techniques, you can pinpoint the root causes and take action to resolve them. In this two-part series, we’ll walk you through proven methods to first diagnose slow queries and then optimize them using MongoDB’s powerful tools and best practices. Series schedule: Part 1: Diagnosing Slow Queries October 20 - 11 a.m. ET Learn how to identify and analyze performance bottlenecks using the profiler, explain() output, and diagnostic tools like MongoDB Atlas Performance Advisor. You’ll walk away knowing how to uncover the “why” behind slow-running operations. Part 2: Optimizing Slow Queries October 27 - 11 a.m. ET Once you’ve identified what’s slowing things down, learn how to optimize queries through effective indexing strategies, query rewrites, and MongoDB’s monitoring and optimization tools. What you’ll gain from this series: A practical framework for diagnosing slow queries Step-by-step methods for optimizing performance Real-world examples from MongoDB experts An opportunity to earn 2 unique MongoDB Skill Badges 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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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 6 October - 10 a.m. BST 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 13 October - 10 a.m. BST 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 20 October - 10 a.m. BST 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. Attendees will still have the opportunity to engage live with MongoDB experts in the chat throughout the session, followed by a live Q&A to address specific questions.

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Mastering MongoDB Query Performance

Slow queries can hold back your application’s performance. But with the right techniques, you can pinpoint the root causes and take action to resolve them. In this two-part series, we’ll walk you through proven methods to first diagnose slow queries and then optimize them using MongoDB’s powerful tools and best practices. Series schedule Part 1: Diagnosing Slow Queries October 22 - 2 p.m. SGT Learn how to identify and analyze performance bottlenecks using the profiler, explain() output, and diagnostic tools like MongoDB Atlas Performance Advisor. You’ll walk away knowing how to uncover the “why” behind slow-running operations. Part 2: Optimizing Slow Queries October 29 - 2 p.m. SGT Once you’ve identified what’s slowing things down, learn how to optimize queries through effective indexing strategies, query rewrites, and MongoDB’s monitoring and optimization tools. What you’ll gain A practical framework for diagnosing slow queries Step-by-step methods for optimizing performance Real-world examples from MongoDB experts An opportunity to earn 2 unique MongoDB Skill Badges 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.

Save Your Seat

}

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 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. Watch Part 1 on-demand now 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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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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Observability for AI agents -Post-webinar

See how platform teams use logs, metrics, and traces to debug AI agents and surface silent failures in production.

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