MongoDB and AI Fundamentals - ICT Academy Learnathon 2025

In this introduction to MongoDB and AI, you'll learn how to:

  • Use the document model and deploy a MongoDB Atlas cluster.
  • Model for workloads, design relationships, and validate schema.
  • Perform CRUD operations in MongoDB.
  • Use MongoDB Atlas Vector Search for AI-powered search experiences.
  • How to build and optimize RAG applications using MongoDB.

Along the way you’ll earn 5 MongoDB Skill Badges to validate your expertise. These digital Credly badges can be easily shared on social media. Throughout the learning path you’ll watch videos and practice with hands-on labs.

To complete this learning path, you must do the following for each Skill Badge:

  • Watch at least 50% of each video
  • View at least 50% of all content
  • Pass the Skill Check

Milestone
  • Content


    MongoDB Basics for Students

    Required
    Skill
    | 1 Hour
    Learn database fundamentals, the document model, distributed database architecture, and how to deploy a MongoDB Atlas cluster.
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    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.
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    CRUD Operations in MongoDB

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

    Required
    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.
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