Demystifying generative AI web application development
summary
Shows how to build an end-to-end generative AI web app using CodeCatalyst, Streamlit, and the AWS Cloud Development Kit (CDK), all in 100% Python. Covers development, deployment, and securing production on AWS so data scientists can take a model-driven web app from prototype to production.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 1:10Use case overview
- 7:30Demo setup
- 15:18Streamlit deployment
- 20:16CodeCatalyst environment
- 23:03Bedrock vision integration
- 31:33Deployment pipeline automation
- 36:59Demo recap
related talks
27mGenerative AI for technology leaders
42mEffortlessly Build, Run, Secure, and Manage Traffic for a Generative AI Application From...
38mDemystifying Generative AI on Amazon SageMaker
35mReinventing with generative AI on AWS
41mKeynote
36mNavigate the future of AI: Deploy generative models on Amazon EKS
01h 01mBuilding Generative AI Applications in Go- Gari Singh, Google (Part 1)
29mGenerative AI: Path to Value in practice