Bring a laptop but AWS Accounts will be provided by AWS. You will use Jupyter notebooks within the provided AWS Account but no prior technical knowledge is required to complete the workshop and the labs.
This workshop gives you hands-on experience leveraging foundation models (FMs) through Amazon Bedrock. Amazon Bedrock is a fully managed service that provides access to FMs from third-party providers and Amazon; available via an API. With Bedrock, you can choose from a variety of models to find the one that’s best suited for your use case.
Zoom link: https://uwmadison.zoom.us/j/92828716646?pwd=LytwQUp2eXB3M0l5WnhvZ0ZtblhzQT09&from=addon
Agenda:
8:00 to 8:30 Light breakfast, networking
8:30 to 8:45 Introductions and setup
8:45 to 9:00 Presentation: Introduction to Amazon Bedrock
9:00 to 9:05 Presentation: Prompt Engineering
9:05 to 9:25 Hands on lab: Prompt Engineering
9:25 to 9:30 Presentation: Text generation use cases
9:30 to 10:00 Hands on Lab: Text Generation
10:00 to 10:15 Break
10:15 to 10:20 Presentation: Knowledge Bases and RAG
10:20 to 10:50 Hands on Lab: Knowledge Bases and RAG
10:50 to 11:00 Presentation: Model Customization
11:00 to 11:45 Hands on Lab: Model Customization
11:45 to Noon Feedback and closing remarks
The AWS accounts will be available for use until the evening of Tuesday, May 21st. You can use them to complete these labs on your own or experiment with the above labs.
• Images and Multimodal [Estimated time to complete - 45 mins]
• Agents [Estimated time to complete - 30 mins]
• Open Source [Estimated time to complete - 30 mins]
You may view the contents of the workshop here: https://shorturl.at/fxFLS
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