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Classroom Contents
Build and Orchestrate Serverless Generative AI Applications
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- 1 intro
- 2 preamble
- 3 genai is the answer. what was the question?
- 4 accelerate drug discovery
- 5 tailor investment strategies
- 6 enhance medical images
- 7 create product listings
- 8 genai stack
- 9 amazon bedrock
- 10 how do i access foundation models?
- 11 integrating with amazon bedrock
- 12 sequencing is hard
- 13 aws step functions
- 14 directly compose apps from over 220 aws services and 10k api actions
- 15 control service integrations with call patterns
- 16 why direct integration is powerful
- 17 machine learning and genai
- 18 building a genai application
- 19 optimized integration for amazon bedrock
- 20 demo
- 21 requirement 1: generate title and description
- 22 amazon states language asl for amazon bedrock
- 23 building a genai application
- 24 how do i access foundation models outside aws?
- 25 accessing a public api
- 26 public https api integration
- 27 asl for https endpoint
- 28 requirement 1: generate multiple titles
- 29 what if something goes wrong...
- 30 how do you handle hard failures?
- 31 redrive
- 32 execution event history for easy observability
- 33 building a genai application
- 34 wait for callback - human / external process
- 35 requirement 2: human feedback loop
- 36 building a genai application
- 37 requirement 3: generate avatar
- 38 prompt chaining
- 39 architecture
- 40 demo
- 41 resources
- 42 thank you
