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Library / Artificial Intelligence

Hands-On Introduction to Generative AI with AWS Bedrock

On Udemy

About this course

This hands-on course provides a practical introduction to generative AI using Amazon Bedrock, AWS's fully managed service for building applications with foundation models.

If you've ever wanted to explore generative AI on AWS, compare foundation models, build applications grounded in your own documents, or create AI agents, this course is for you.

We focus on learning by doing. There are no theory-heavy slides or endless explanations. Instead, you'll work directly with Amazon Bedrock, primarily through the AWS Management Console, using the same tools and workflows available to developers and cloud engineers.

You'll start by understanding what Amazon Bedrock is and how foundation models fit into modern generative AI applications.

Then we'll move straight into practice.

You'll explore foundation models available through Bedrock, including Anthropic Claude and Amazon Nova models, and compare their behavior directly using the Bedrock playgrounds.

Throughout the course, you'll learn how to work with:

  • Foundation models and model playgrounds
  • Anthropic Claude and Amazon Nova models
  • Cross-region inference profiles

Amazon Bedrock API keysAWS CLI for interacting with BedrockKnowledge Bases for Amazon BedrockRetrieval-Augmented Generation (RAG)Document retrieval and citations

Guardrails for generative AI applications

Prompt management

Agents for Amazon BedrockPython and boto3 integration

You'll build a real Knowledge Base using your own or mocked documents, test retrieval directly in the AWS console, and then connect it to a Python application.

Everything is explained through practical examples designed to help you understand not only how Amazon Bedrock works, but also how its different services and features fit together when building real generative AI applications.

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