Managing Data for GenAI with Bedrock Knowledge Bases

Software Engineering

Build the data foundation that powers intelligent AI applications! Learn to create and configure Bedrock Knowledge Bases, efficiently upload and process documents, implement vector storage solutions with S3, and build robust retrieval systems. Discover how to structure, store, and access your organization's knowledge to fuel more accurate and contextual AI responses.

Amazon Bedrock Models

AWS

Python

See path

4 lessons

17 practices

3 hours

RAG Systems and Vector Databases

Course details

Setting Up Vector Storage

Preview

Create Your First Vector Storage

Creating Your Vector Index Foundation

Discovering Your Vector Indexes

Debug Vector Storage Workflow

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Next Course: Putting Bedrock Models to Action with Strands Agents

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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11