This course will teach you how to work with Amazon Bedrock using Python and related IDEs, manage costs, and explore Bedrock API, inference parameters, embeddings, and Jupyter Notebooks.
Amazon Bedrock simplifies the integration and scaling of generative AI models by providing managed infrastructure, flexible APIs, and tools to build applications without requiring deep machine learning expertise. In this course, Working with Amazon Bedrock Using Python, you'll use Python to work with Bedrock, enabling seamless interaction with foundation models for inference tasks. First, you'll explore the cost implications of Bedrock and how it is charged. Next, you'll discover how to set up the development environment with tools such as AWS CloudShell and the AWS Toolkit. Finally, you'll get an

Overview

of key API endpoints for model inference. When you're finished with this course, you'll have the skills and knowledge of Bedrock and Python tools needed to begin to authenticate, configure inference parameters, process text embeddings, and analyze results programmatically.
Homepage:

https://app.pluralsight.com/library/courses/amazon-bedrock-using-python/table-of-contents