Course OverviewA comprehensive introduction to Amazon Bedrock, focusing on practical implementation of foundation models, prompt engineering, and real-world applications. This course covers both theoretical concepts and hands-on implementation using AWS Bedrock's console, CLI, and programmatic interfaces.
Module 1: Introduction to AWS Bedrock- Understanding foundation models and AWS Bedrock architecture
- Key terminology and core concepts
- Model inference and prompt engineering basics
- Embeddings and knowledge bases overview
Module 2: Working with the Bedrock Console- Navigating the AWS Bedrock interface
- Using the model playground and chat features
- Comparing different model providers and capabilities
- Implementation of system prompts and model parameters
Module 3: Advanced Patterns and Optimization- The Dracula Pattern for knowledge transfer
- Cost optimization strategies
- Model comparison and evaluation
- Cloud vs. local deployment considerations
Module 4: Implementation and Integration- Building CLI tools with Bash
- Developing Rust applications for Bedrock
- API integration patterns
- Production deployment strategies
Key Technologies Covered- AWS Bedrock
- Claude Foundation Models
- Bash Scripting
- Rust Programming
- AWS CLI
- RAG (Retrieval Augmented Generation)