Relational to Document Model

Banish this ghost, which traps your data in rigid tables, by mastering conversion to MongoDB's document model, flexible relationships, and schema vali…

Schema Design Patterns and Anti-patterns

Banish this ghost, which tangles your queries in JOINs, by mastering key schema design patterns and avoiding the antipatterns that summon it.

RAG with MongoDB

Banish this ghost, which tricks your LLM into hallucinating answers, by mastering vector search, retrieval optimization, and grounding your LLM apps i…

Cluster Reliability

Banish this ghost, which strikes at the worst moment and drags your cluster into the dark, by mastering cluster diagnostics to keep your database heal…

Query Optimization

Banish this ghost, which slows queries and drains your cluster's resources, by hunting it with tools like Query Profiler and explain(), then fixing it…

AI Data Strategy

Banish this ghost, which scatters your data across disconnected tools and formats, by learning how MongoDB unifies data across tools and formats to st…

Vector Search Fundamentals

Learn how to leverage MongoDB Atlas Vector Search to build intelligent, AI-powered search experiences for applications. Explore indexing, embeddings, …

AI Agents with MongoDB

Learn how to build and deploy AI agents using MongoDB. Understand orchestration, data storage strategies, and how to integrate AI models with real-ti…

Evaluating an Agentic Platform

Discover how to evaluate agentic AI platforms for secure, reliable production use. Learn to assess governance, security, observability, scalability, d…

Voyage AI with MongoDB

Learn what vector embeddings are, how they’re created, and why they’re essential for powering modern AI applications and semantic search.

Memory for AI Applications

Learn to design and implement memory systems for AI applications that combine short term and long term memory using MongoDB, LangGraph, and vector sea…

Building an App with Code Agents and MongoDB

Learn to build and improve an application using MongoDB Agent Skills, the MongoDB MCP Server, and Atlas Vector Search.

Retrieval Evaluation

Learn to evaluate retrieval systems objectively using a three-part framework (corpus, queries, and relevance judgments) that underlies every benchmark…

Governance for AI Agents

Learn how AI agents have reshaped software by creating new areas that must be controlled, audited, and updated, along with new openings for failures a…

Observability for AI Agents

This badge is for experienced AI engineers, platform engineers, SREs, and developers who already build or run agents and want to go beyond basic monit…

Vector Search Performance

Learn how MongoDB Vector Search works under the hood and what to do when it slows down in production.

MongoDB Overview

Discover the core concepts and architectural strengths of MongoDB.

Agility and Velocity

Learn how to identify and eliminate the architectural friction that slows growing applications by examining the Schema Disconnect, the Growth Paradox,…

MongoDB Basics for Students

Learn database fundamentals, the document model, distributed database architecture, and how to deploy a MongoDB Atlas cluster.

Reliability and Availability

Learn how MongoDB is designed to keep critical applications running when failures occur.

Advanced Schema Patterns & Antipatterns

Learn advanced schema design patterns like approximation and schema versioning and how to manage schema lifecycle changes.

Schema Design Optimization

Optimize performance with schema design patterns like single collection and bucket and learn how to refine data models.

CRUD Operations

Learn to perform Create, Read, Update, and Delete (CRUD) operations using MongoDB.

Fundamentals of Data Transformation

Learn how to build aggregation pipelines to process, transform, and analyze data efficiently in MongoDB.

Indexing Design Fundamentals

Learn how to design efficient indexes to speed up queries, and reduce resource consumption in MongoDB.

Search Fundamentals

Learn how to apply the fundamentals of MongoDB Search, including lexical search, indexing strategies, and query optimization. Build efficient, full-te…

Sharding Strategies

Learn how to design, implement, and manage sharded clusters to scale MongoDB horizontally and optimize performance

MongoDB Monitoring Tooling

Learn how to monitor MongoDB deployments effectively using built-in tools like MongoDB Atlas Monitoring and third-party solutions. Gain insights into …

Performance Tools and Techniques

Learn how to apply performance tuning techniques in MongoDB through profiling, slow query analysis, and system monitoring.

Secure MongoDB Self-Managed: AuthN and AuthZ

Learn how to secure MongoDB in self-managed environments through authentication and authorization techniques.

Secure MongoDB Atlas: AuthN and AuthZ

Learn how to configure authentication and authorization in MongoDB Atlas to secure access to your database.

Networking Security: Atlas

Learn how to configure network security settings to protect cloud-based deployments.

Networking Security: Self-Managed

Learn how to apply best practices for securing MongoDB deployments in self-managed environments.

Encryption at Rest

Learn how to encrypt MongoDB data at rest using customer-managed encryption keys (BYOK). Understand how to integrate key management systems (KMS) and …

Data Resilience: Self-Managed

Learn MongoDB's data resilience strategies to ensure high availability, disaster recovery, and cybersecurity preparedness.

Data Resilience: Atlas

Learn how to implement data resilience strategies in MongoDB Atlas to protect against downtime and data loss.

Scale and Adapt

Learn how business growth puts pressure on data architectures in more ways than just increased traffic.