Onboarding with Customer Success

Learn how to leverage MongoDB Atlas, the modern, multi-cloud data platform, and deploy your first cluster. Plus, learn the foundations of MongoDB and get an overview of its architecture.

Learn how to connect to MongoDB databases by using connection strings. Connection strings allow you to connect your cluster with the mongo shell, with Compass (our GUI that enables querying, optimizing and analyzing MongoDB data), and to an application.

Learn how to import CSV data into MongoDB using four different tools available.

Learn how to migrate data from a MongoDB deployment on any environment to an Atlas deployment using the Live Migration feature.

Learn to convert SQL or relational models to MongoDB's document model, design data relationships, and enforce schema validation. Enhance your ability to create efficient, well-structured applications with robust data models using MongoDB.

Learn essential schema design patterns like inheritance and computed patterns. Learn to identify and avoid common anti-patterns, such as unbounded arrays and bloated documents, to optimize your MongoDB database for performance and efficiency.

Power up your MongoDB skills by learning advanced schema design patterns like approximation and schema versioning. Learn to manage schema lifecycle changes without downtime and identify performance-impacting anti-patterns, ensuring efficient and scalable database solutions.

Optimize MongoDB performance by applying schema design patterns like single collection and bucket. Learn to refine data models and effectively scale them in sharded clusters, ensuring high efficiency and performance at any scale.

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

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

Learn how to fine-tune MongoDB queries for maximum efficiency, minimize execution time, and avoid slow queries.

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

This digital credential validates your knowledge of monitoring MongoDB deployments. It recognizes your understanding of MongoDB's monitoring tools, ability to interpret key performance metrics such as CPU usage and query execution times, and ability to configure alerting mechanisms to capture critical events.

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.

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

Discover how to build Retrieval-Augmented Generation (RAG) applications with MongoDB. Learn to integrate vector search, optimize retrieval workflows, and enhance LLM-powered apps.

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