Join us on May 6th and May 7th for a hands-on experience at our exclusive event in Chicago! Throughout the two-day event, our instructors will guide you through sessions on data modeling, advanced querying, AI-powered search, and more. Choose between the two days below, or register to attend both.
We hope to see you there!
*Developer Day is for business professionals only, this event is not open to students.
Join us to learn the principles of document-based data modeling and how to migrate a relational database to a MongoDB document model. In this session, you’ll learn the key similarities and differences between relational and document data models and how to translate core relational concepts into a MongoDB document schema. You'll also discover how MongoDB simplifies data management and software development and gain the skills to effectively design and implement document-oriented solutions.
Skill badge opportunity: Relational to Document Model
Do you have relational data that you want to move to MongoDB? If so, this is the lab for you! Bring your laptop and learn how to move your workloads from a relational database to MongoDB Atlas, beginning with your database schema and data. You'll use the MongoDB Relational Migrator to connect to a relational database, get a proposed schema for MongoDB, migrate stored procedures, views, and data, and generate code to access newly migrated data. By the end of the session, you'll have the practical knowledge you need to move your relational data to MongoDB.
Through a series of hands-on exercises, you will learn how to translate your existing RDBMS querying knowledge into new MongoDB Query API skills. You’ll learn basic CRUD operation equivalents, how to create new queries adapted to the document-model patterns used in MongoDB, and how to build complex aggregation pipelines to leverage MongoDB server-side data analytic capabilities.
Skill badge opportunity: CRUD Operations
Join us to discover how to enrich your application and power AI capabilities with semantic search using MongoDB Atlas Vector Search. In this workshop, you will learn the core concepts of vector search and how it works in MongoDB. You will gain hands-on experience in performing vector search queries against MongoDB collections and also learn how to tune and optimize these queries to improve query performance.
Skill badge opportunity: Vector Search Fundamentals
Want to learn how to build a RAG-based AI chatbot? You are in the right place! In this workshop, you will learn foundational concepts of RAG systems, including chunking, embedding, and semantic search. You will also test your learning by building an end-to-end, RAG-based chatbot using MongoDB Atlas and open-source LLMs.
Skill badge opportunity: RAG with MongoDB
2025 is the year of agents, and you don’t want to miss out! In this workshop, you will learn the core concepts of AI agents, including reasoning, tools, and memory. You will also learn about different agent architectures. Finally, you will build a MongoDB learning agent that uses MongoDB as the agent's memory and knowledge store, Azure Open AI as the agent’s “brain,” and LangGraph to orchestrate the end-to-end agentic workflow.
If your team is interested in having a MongoDB expert review your application and provide guidance, sign up for a 45-minute design review session.
What should you expect?
Discussions are focused on driving efficiency at the database layer. Logical data models will be discussed using generic entity relationship diagrams—no customer data will be reviewed.
Design a data model in real time and leave the session with enough knowledge to iterate and optimize the design on your own.
How can you book a design review?
When you register for this event, please indicate that you are interested in a design review and fill out the following prompts.
