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Course
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Working with Amazon Bedrock Using Python
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.
What you'll learn
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.
Table of contents
About the author
Craig has over 20 years of experience in IT in areas ranging from Systems and Network Engineering, Software Development, Technical Project Management, and Amazon Web Services. He has been creating content in Amazon Web Services for over 5 years. Areas of expertise include AWS Certified DevOps Professional, CloudFormation, and the AWS Developer Tools Suite. Craig holds 6 AWS Certifications as well as a Project Management Professional certification.
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