Earn a MongoDB Skill Badge in Data Modeling with content on relational to document models, schema design antipatterns, and design optimization tips.

Duration: 75 mins

Understand how SQL terminology and concepts correspond to MongoDB terminology.

Follow step-by-step instructions for getting set up on MongoDB Atlas. Learn how to create an Atlas cluster, connect to it, and load sample data.

Learn the difference between MongoDB Query Language and Structured Query Language (SQL) and how to translate CRUD statements from one to the other.

Duration: 2 hours

Earn an Indexing Design Fundamentals Skill Badge and learn how to design efficient indexes to speed up queries and reduce resource consumption in MongoDB.

Duration: 60 mins

Earn a Query Optimization Skill Badge and learn how to fine-tune MongoDB queries for maximum efficiency by minimizing execution time and avoiding slow queries.

Duration: 1.5 hours

Learn how to go from spotting performance issues to fixing them by writing better queries that work fast, scale well, and keep your systems speedy even when your data grows.

Learn how indexes support efficient execution of queries in MongoDB and how to get started in Atlas, driver method, or with the MongoDB Shell.

Learn the fundamentals of MongoDB Search, including lexical search, indexing strategies, and query optimization to build efficient, full-text search experiences in MongoDB applications.

Duration: 60 mins

Earn a Vector Search Fundamentals MongoDB Skill Badge with content on understanding semantic search, storing embeddings for your data, and performing vector search.

Duration: 60 mins

Read how to power Atlas Search in MongoDB Atlas to give you a seamless, scalable experience for building relevance-based app features.

Learn how to use Atlas Vector Search to enable semantic querying of data in Atlas, supporting AI-powered use cases like semantic, hybrid, and generative search while integrating with AI frameworks.

Earn a Fundamentals of Data Transformation Skill Badge and learn how to define the MongoDB aggregation framework, understand pipeline stage ordering, and build optimized aggregation pipelines.

Duration: 50 mins

Get an overview of common SQL aggregation terms, functions, and concepts and the corresponding MongoDB aggregation operators.

Learn how aggregation operations process multiple documents to compute results, allowing you to group values, perform operations on grouped data, and analyze data changes over time.

Learn how to create aggregation pipelines that enable you to analyze and summarize data by stringing together stages that filter, sort, group, and/or transform data.

Duration: 1.75 hours

Earn a MongoDB Skill Badge in Data Modeling with content on relational to document models, schema design antipatterns, and design optimization tips.

Duration: 60 to 90 mins

Learn more about a flexible schema model and why data modeling is important on MongoDB.

Learn how to use Atlas monitoring tools to find common schema design issues and get suggestions for modifications.

Examine the most important considerations when deciding on your data model and create the best model for your application.

Duration: 1 hour

Learn to monitor MongoDB deployments by interpreting key metrics and configuring alerts for critical events.

Duration: 60 mins

Explore key performance tuning techniques in MongoDB using profiling, slow query analysis, and system monitoring. Learn how to optimize indexes, cache utilization, and hardware configurations to improve database efficiency at scale.

Duration: 60 mins

Gain hands-on experience in diagnosing and resolving issues in MongoDB clusters. Learn how to troubleshoot replication, sharding, and performance issues to maintain database health and availability.

Duration: 1.5 hours

Check out the built-in tools, alerts, charts, integrations, and logs in Atlas that help you monitor your clusters.