Unleashing the Power of AWS: A Workshop on Bedrock Assistant
summary
Hands-on tutorial that builds a working Bedrock pipeline: Python Lambda invokes Bedrock models (AI21 Jurassic, Anthropic Claude, Cohere embeds, Meta Llama 2, Stable Diffusion, Amazon Titan), fixes IAM and timeout limits, and exposes the Lambda via Lambda + API Gateway integration to return model completions and images. Covers fine-tuning input format, required S3 roles, provisioning vs on‑demand pricing, token billing, and CloudWatch logs. Demo completes queries (e.g., Harry Potter) and generates images, so the setup demonstrably works and is deployable. Bedrock model list
AI-written summary · about
chapters (11)
- 0:00Workshop introduction
- 1:44ML and generative AI evolution
- 12:40AWS AI/ML services
- 15:29Introducing Bedrock Assistant
- 18:04Demo setup and console walkthrough
- 28:59Bedrock pricing and customization
- 31:49Lambda function for Bedrock
- 41:12Bedrock with API Gateway
- 55:20Q&A on deployment
- 1:13:50Final demo and API integration
- 1:24:26Closing and takeaways
related talks
24mBuilding GenAI applications with Amazon Bedrock
41mServerless LLM with AWS Lambda and LangChain: A Revolution in Application Development
39mGenerative AI Solution with AWS Serverless and Bedrock
27mStreamline your machine learning model deployment lifecycle with Terraform
38mGenerative AI - Architectures and applications in depth
28mMeasuring Serverless Apps in Amazon Bedrock
43mBuilding an AI-Ready Data Foundation
23mBuilding Agentic AI Systems with AWS Serverless