Employing Generative AI for Development With Amazon Bedrock
Amazon Bedrock is generative AI as a service. It makes many large language models (LLMs) available, each with a different focus and specialty. As well as allowing you to directly use models as a chatbot, it also enables you to integrate AI chatbots into your workflows and applications.
Learning how to use the Amazon Bedrock service will benefit anyone interested in using generative AI in the public AWS cloud.
In this hands-on lab, you will tour the Amazon Bedrock service and use Amazon Bedrock to summarize text and generate code.
Learning objectives
Upon completion of this beginner-level lab, you will be able to:
- Navigate the Amazon Bedrock console
- Summarize application requirements from long-form text
- Use Amazon Bedrock to generate code
- Generate testing code
Intended audience
- Anyone looking to learn how to use generative AI in the public AWS cloud
- Cloud Architects
- Data Engineers
- DevOps Engineers
- Machine Learning Engineers
- Software Engineers
Prerequisites
Familiarity with the following will be beneficial but is not required:
- Generative AI and Large Language Models
- Amazon Bedrock
- The Python coding language
The following content can be used to fulfill the prerequisites:
Updates
February 21st, 2024 - Updated screenshots to reflect the latest user interface changes
Environment before
Environment after
Andrew is a Labs Developer with previous experience in the Internet Service Provider, Audio Streaming, and CryptoCurrency industries. He has also been a DevOps Engineer and enjoys working with CI/CD and Kubernetes.
He holds multiple AWS certifications including Solutions Architect Associate and Professional.