Resources

Master AI Development: From Groundwork to Production

Building robust, scalable AI applications requires more than just calling an API endpoint. It requires an intentional architecture, fluid data modeling, and a database that handles complexity without slowing down your development cycles. This comprehensive, three-part virtual workshop series delivers a practical framework for every stage of your AI engineering journey. Learn how to transition from basic vector queries to production-ready system architectures and autonomous agent workflows. Each session focuses on technical strategies, real-world constraints, and implementation patterns. Session 1: Vector Search — Beginner to Pro July 22 Explore the mechanics of semantic search using MongoDB Vector Search and Voyage AI embedding models. Learn how to generate high-quality embeddings, execute precise vector queries against data collections, and apply advanced optimization techniques like pre-filtering and hybrid search to improve application performance. Session 2: AI System Design — From Idea to Production July 29 Writing code is no longer the bottleneck—knowing what to build and how to scale it safely is the true challenge. This session introduces a repeatable evaluation framework to help you define clear success metrics, pick the ideal retrieval strategy, and establish operational guardrails that prevent common failure modes before your application ever reaches users. Session 3: AI Coding with MongoDB August 4 Traditional prompt engineering is evolving into autonomous, agentic workflows. Learn how to configure autonomous coding tools like Claude Code to build clean, idiomatic Node.js REST APIs backed by MongoDB. Learn how to use agent skills and the MongoDB Model Context Protocol (MCP) server so your AI assistants understand your access patterns and work with your data natively. Secure Your Spot for the Series Register now for this great opportunity to build upon your engineering toolkit. Each session will have a question-and-answer period where our presenters will address your technical hurdles and architectural questions. Even if you can’t attend the sessions, registering ensures that you will automatically receive a link to access the complete, recorded series on-demand to study at your own pace.

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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 a Level 1 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 August 13 - 2pm SGT 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 August 20 - 2pm SGT 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 August 27 - 2pm SGT 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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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 29 July - 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 5 August - 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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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 July 21 - 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 July 28 - 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.

Save Your Seat

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 July 23 - 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 July 30 - 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 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 8 July - 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 15 July - 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 22 July - 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.

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 July 2 - 2 p.m. SGT 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 July 9 - 2 p.m. SGT 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 July 16 - 2 p.m. SGT 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.

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 July 7 - 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 July 14 - 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.

Save Your Seat

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 a Level 1 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 August 12 - 10 a.m BST 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 August 19 - 10 a.m. BST 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 August 26 - 10 a.m. BST 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.

Save Your Seat

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 August 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 August 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 August 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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Agentic Apps on Real-Time Data with MongoDB Atlas & Confluent

July 23, 2026 11 a.m. ET Most agentic AI demos are stuck in the past—literally. They rely on static document stores, fixed knowledge bases, and stale batch exports. But in the real world, data doesn't sit still . Join MongoDB Atlas and Confluent for an exclusive look at the next frontier of AI: Real-Time Agentic Applications . From Static Snapshots to Autonomous Action In this session, we move beyond the "chatbot" and build a system that senses, reasons, and acts on data the moment it arrives. Watch as we live-build a fleet management solution that operates entirely without human intervention through a structured, three-step framework: Sense: Confluent Cloud and Flink SQL detect demand anomalies in real-time streams. Reason: MongoDB Atlas Vector Search instantly retrieves the critical context the agent needs to understand the "why." Act: An autonomous agent dispatches vehicles dynamically based on live ground truths. What You’ll Gain By attending this webinar, you’ll gain a deep understanding of a deployable reference architecture that bridges the gap between streaming pipelines and operational data to build agents that thrive on the "now." Stop querying the past. Start building the future.

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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 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 Watch #2 on-demand now Workshop #3: The A to Z of Building AI Agents 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 Watch #3 on-demand now 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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