Building AI Apps on AWS Learning Badge Path

Learn how to build AI apps by leveraging Amazon Bedrock and Atlas Vector Search in this MongoDB learning path! Explore the AI ecosystem and how RAG systems work, and then create your own.

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This learning path guides you through building a retrieval augmented generation (RAG) app by leveraging the combined power of MongoDB Atlas Vector Search and Amazon Bedrock via AWS. First, we’ll introduce you to how Atlas Vector Search and Amazon Bedrock work together so that you can easily build AI powered applications. Next, you’ll get an overview of the AI space and dive deeper into how vector search works. Finally, you’ll put all the pieces together by building a RAG application using Atlas Vector Search and Bedrock.

To earn your badge, complete the content in this learning path and then pass the short assessment at the end. You will receive an email with your official Credly badge and digital certificate within 24 hours.


Milestones
  • Learning Badge Content


    Overview of Building AI Apps on AWS

    Required
    Unit
    | Fred Favelin, Igor Alekseev, Parker Faucher, Sarah Evans, Manuel Fontan Garcia, Colleen Day, Emily Pope

    7 Minutes

    Get an overview of how Atlas Vector Search and Amazon Bedrock integrate to help you build AI powered applications.
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    Introduction to AI and Vector Search

    Required
    Unit
    | Parker Faucher, Katie Redmiles, Emily Pope, Vick Mena

    30 Minutes

    Learn about the foundations of AI and how Atlas Vector Search fits in.
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    Semantic Search for AWS Users

    Required
    Unit
    | Parker Faucher, Sarah Evans, Vick Mena, John McCambridge, Emily Pope, Harshad Dhavale

    1.5 Hours

    Learn all about Atlas Vector Search as you build a semantic search feature. Leverage both Atlas Search and Atlas Vector Search to identify the most relevant search results.
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    Building RAG Applications with Atlas Vector Search and Amazon Bedrock

    Required
    Unit
    | Parker Faucher, Sarah Evans, Manuel Fontan Garcia, Colleen Day, Emily Pope, Fred Favelin

    1.5 Hours

    Leverage the power of Atlas Vector Search and Amazon Bedrock to create AI-powered apps. Learn how to set up an Atlas cluster, configure a Bedrock knowledge base, and create a Bedrock agent in order to orchestrate a retrieval augmented generation, or RAG, system.
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  • Learning Badge Assessment


    Building AI Apps on AWS Learning Badge Assessment

    Required
    Assessment
    | MongoDB University

    30 Minutes

    Building AI Apps on AWS Assessment
    View Details