AWS Intelligent Applications with Amazon Bedrock
By External Provider
About this course
Learn to build intelligent applications with Amazon Bedrock through hands-on console exploration, API development, and autonomous agent construction. You will navigate the Bedrock model catalog, compare foundation models like Claude and Haiku side by side, and implement the Dracula pattern for cloud-to-local model portability using Ollama as a fallback. The course progresses from console-based prototyping to programmatic API development, where you build Bedrock clients in both Bash with curl and Rust with the AWS SDK. You will create and query knowledge bases backed by S3 data sources and Titan embedding models, using both the console and AWS CloudShell for programmatic management. The final module covers Bedrock agents — autonomous systems that plan and execute multi-step tasks using action groups, Lambda integration, and knowledge-base-backed RAG for grounded responses. By completing this course, you will be able to evaluate trade-offs between managed cloud models and local inference, build production Bedrock APIs, and construct agent workflows that combine reasoning with retrieval.
What you will learn
- Navigate the Bedrock console, compare models like Claude and Haiku, and implement patterns for cloud-to-local model portability with Ollama
- Build Bedrock APIs in Bash and Rust, and create programmatic knowledge bases with S3 data sources via the console and CloudShell
- Construct autonomous Bedrock agents with action groups, Lambda integration, and knowledge-base-backed RAG for grounded multi-step task execution