Onboarding with Customer Success

This learning path contains a series of content curated by your Customer Success team to guide you through the essentials you need to learn as you plan, build and launch on MongoDB. In this path, you will find tips, tools and resources to ensure you are set up for success.


Milestones
  • MongoDB Basics


    Getting Started with MongoDB Atlas

    Required
    Unit
    | Katie Redmiles, Camden Kirkland, Emily Pope, Manuel Fontan Garcia, Sequoyha Pelletier, Colleen Day, Julianna Chen, John McCambridge, Davenson Lombard

    1.25 Hours

    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.

    Connecting to a MongoDB Database

    Required
    Unit
    | Sarah Evans, Parker Faucher, Daniel Curran

    1.75 Hours

    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.

    Importing CSV Data into MongoDB

    Elective
    Learning Byte
    | 15 Minutes
    Learn how to import CSV data into MongoDB using four different tools available.

    Live Migration with MongoDB Atlas

    Elective
    Learning Byte
    | Scott Amerman

    10 Minutes

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

  • Design & Prep


    Relational to Document Model

    Required
    Skill
    | MongoDB University

    1.25 Hours

    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.

    Schema Design Patterns and Anti-patterns

    Elective
    Skill
    | 1 Hour
    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.

    Advanced Schema Design Patterns and Anti-patterns

    Elective
    Skill
    | 1 Hour
    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.

    Schema Design Optimization

    Elective
    Skill
    | 1 Hour
    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.

    Indexing Design Fundamentals

    Elective
    Skill
    | 1 Hour
    Learn how to design efficient indexes to speed up queries, and reduce resource consumption in MongoDB.

  • Working with Support


    Logging a support case and utilizing best practices

    Elective
    Microcourse

  • Queries & Aggregations


    Fundamentals of Data Transformation

    Elective
    Skill
    | 50 Minutes
    Learn how to build aggregation pipelines to process, transform, and analyze data efficiently in MongoDB.

    Query Optimization

    Elective
    Skill
    | 1.5 Hours
    Learn how to fine-tune MongoDB queries for maximum efficiency, minimize execution time, and avoid slow queries.

    CRUD Operations in MongoDB

    Elective
    Skill
    | 1.5 Hours
    Learn to perform Create, Read, Update, and Delete (CRUD) operations using MongoDB.

  • Monitoring Performance & Health


    MongoDB Database Metrics & Monitoring

    Elective
    Unit
    | Sarah Evans, Luke Phillippi, Vick Mena

    1 Hour

    Learn the basics of monitoring MongoDB Atlas and self-managed deployments.

    Atlas Performance Monitoring And Metrics (Webinar)

    Elective
    Microcourse
    Monitoring the health and performance of MongoDB Atlas is crucial for effective database administration and capacity planning. In this 60-minute webinar, MongoDB experts will share key strategies for monitoring your cluster's health and performance. Even with the robust features of Atlas, it's vital for users, including advanced ones, to understand how to monitor clusters effectively to prevent problems.

  • Vector Search and Gen AI


    Vector Search Fundamentals

    Required
    Skill
    | 1 Hour
    Learn how to leverage MongoDB Atlas Vector Search to build intelligent, AI-powered search experiences for applications. Explore indexing, embeddings, and retrieval strategies.

    RAG with MongoDB

    Elective
    Skill
    | 1 Hour
    Discover how to build Retrieval-Augmented Generation (RAG) applications with MongoDB. Learn to integrate vector search, optimize retrieval workflows, and enhance LLM-powered apps.

    AI Agents with MongoDB

    Elective
    Skill
    | 1.25 Hours
    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.