aws-samples/amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
What it solves
This repository provides a structured, hands-on learning path for developers to understand how to build applications using Amazon Bedrock. It bridges the gap between theoretical AI concepts and practical implementation on AWS.
How it works
The project is organized into numbered modules containing Jupyter notebooks. These notebooks combine descriptive text with interactive code cells that run against a live Python environment, allowing you to experiment with Bedrock's features directly. You can follow the guided instructions on the official workshop website to complete labs covering inference, RAG (Retrieval-Augmented Generation), and AI agents.
Who it’s for
This workshop is designed for developers and solution builders who want to learn how to leverage foundation models through Amazon Bedrock. It is suitable for those using their own AWS accounts or participating in AWS-hosted events.
Highlights
- Guided, modular curriculum covering core Bedrock features.
- Interactive Jupyter notebook format for hands-on learning.
- Covers advanced topics like RAG and AI agents.
- Includes setup instructions for local development environments using Python and tools like uv.
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