New Course for Building AI Applications with MongoDB on AWS

Developers everywhere want to expand the limits of what they can build with new generative AI technologies. But the AI market and its offerings have evolved so quickly that for many developers, keeping up can feel overwhelming.

As we've entered the AI era, MongoDB and Amazon Web Services (AWS) have built upon our eight year partnership to deliver technology integrations-like MongoDB Atlas's integrations with Amazon Bedrock and Amazon Q Developer (formerly CodeWhisperer)-that simplify the process of building and deploying gen AI applications. By combining MongoDB's integrated operational and vector database capabilities with AWS's AI infrastructure solutions, our goal is to make it easier for our developer community to innovate with AI.

So, to help developers get started, we're launching a new, free MongoDB Learning Badge focused on Building AI Applications with MongoDB on AWS.

Building AI with MongoDB on AWS

This is MongoDB University's first AWS Learning Badge, and with it, we've focused on teaching developers how Amazon Bedrock and Atlas work together-including how to create a knowledge base in Amazon Bedrock, configure a knowledge base to use Atlas, inspect how a query is answered, create an Agent to answer questions based on data in Atlas, and configure guardrails that support responsible agentic behavior. In short, developers will learn how to remove the heavy lifting of infrastructure configuration and integration so they can get up and running with innovative new semantic search and RAG applications faster.

Amazon Bedrock is a fully managed service from AWS that offers a choice of high-performing foundation models from leading AI companies via a single API, along with a broad set of capabilities organizations need to build secure, high-performing AI applications. Developers can connect Bedrock to MongoDB Atlas for blazing-fast vector searches and secure vector storage with minimal coding.

With the integration, developers' can use their proprietary data alongside industry-leading foundation models to launch AI applications that deliver hyper-intelligent and hyper-relevant results.

Tens of thousands of customers are running MongoDB Atlas on AWS, and many have already embarked successfully on cutting-edge AI journeys. Take Scalestack for example, which used MongoDB Atlas Vector Search to build a RAG-powered AI copilot, named Spotlight, and is now using Bedrock's customizable models to enhance Spotlight's relevance and performance. Meanwhile, Base39-a Brazilian fintech provider-used MongoDB Atlas and Amazon Bedrock to automate loan analysis, decreasing decision time from three days to one hour and reducing cost per loan analysis by 96%.

Badge up with MongoDB

MongoDB Learning Badges are a powerful way to demonstrate your dedication to continuous learning. These digital credentials not only validate your educational accomplishments but also stand as a testament to your expertise and skill.

Whether you're a seasoned developer, an aspiring data scientist, or an enthusiastic student, earning a MongoDB badge can elevate your professional profile and unlock new opportunities in your field.

Learn, prepare, and earn

Complete the Learning Badge Path and pass a brief assessment to earn your badge. Upon completion, you'll receive an email with your official Credly badge and digital certificate, ready to share on social media, in email signatures, or on your resume. Additionally, you'll gain inclusion in the Credly Talent Directory, where you will be visible to recruiters from top employers.

Millions of builders have been trained through MongoDB University courses-join them and get started building your AI future with MongoDB Atlas and AWS. And if you're attending AWS re:Invent 2024, come find MongoDB at Booth #824. The first 100 people to receive their learning badge will receive a special gift!