Curso de intro a Amazon Bedrock con Raul Lapeira y Paint

Discover the Power of Amazon Bedrock: A Quick Overview

This course offers a fast-paced and engaging introduction to Amazon Bedrock, exploring its key features and providing a comprehensive overview of what it offers. It's particularly valuable for those already familiar with Machine Learning (ML), allowing you to easily understand the distinctions compared to services like Amazon SageMaker or local Python-based ML development.

This isn't a deep dive into code or visual workflow creation. Instead, we'll focus on a high-level understanding of Amazon Bedrock using the AWS web console. This approach is ideal for both business professionals and programmers with experience in traditional ML (whether local or in other cloud environments) or modern ML practices.

We briefly touch upon classification and clustering – as these are mentioned within the Distillation section of the web console – but remember, this course isn't a statistics or traditional ML course.

The core concept of Amazon Bedrock revolves around model management and model training. For building custom neural networks, you might consider Amazon SageMaker first, and then exporting those models to Bedrock.

If you'd like a deeper exploration of any specific aspect, please let us know! We're open to expanding the course to provide a more comprehensive learning experience.