Role
Topic
Skill Level
Duration
- Architect
- Decision Maker
- Developer
- Security & Ops
- Architecture
- Data Modeling
- Gen AI
- Performance at Scale
- Query
- Aggregation
- Security
- Indexes
- Sharding
- Monitoring, Tuning, and Automation
- Search
- Foundational
- Intermediate
- Advanced
- < 60 minutes
- 60 minutes
- 75 minutes
- 90 minutes
AI Data Strategy with MongoDB
How to leverage MongoDB to provide scalable, secure, and unified processing on a single platform, improving developer velocity and reducing infrastructure complexity for AI applications.
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.
Vector Search Fundamentals
How to use MongoDB Atlas Vector Search for AI-powered search experiences.
AI Agents with MongoDB
How to build and deploy AI agents using MongoDB. Understand orchestration, data storage strategies, and how to integrate AI models with real-time databases.
Memory for AI Applications with MongoDB
How to design and implement short- and long-term memory for AI applications using MongoDB, LangGraph, and Atlas Vector Search.
Voyage AI with MongoDB
How to use Voyage AI embeddings with MongoDB to power semantic search, including storing and querying embeddings, using auto-embedding, and building a two-step vector search and reranking pipeline.