💎 Key Takeaways
| Course Name | Claude with Amazon Bedrock |
|---|---|
| Platform | Claude Academy |
| Price | Free |
| Duration | 8 hours, self-paced |
| Level | Intermediate |
| Prerequisites | Python proficiency, basic JSON knowledge, AWS account with Bedrock access |
| Skills | AWS Bedrock API integration, RAG pipeline development, tool use with JSON Schema, MCP server/client implementation, prompt engineering, structured data extraction, agent automation |
About
This course teaches you how to integrate and deploy Claude through Amazon Bedrock, from making your first API call to building production-ready AI applications on AWS. You work through 65 lessons covering multi-turn conversations, RAG pipelines, function calling, MCP, and agentic features like Claude Code and Computer Use. The course is structured around practical implementation, with 8 quizzes and a final assessment to reinforce each section.
Claude Academy is Anthropic’s official learning platform, so the course content reflects first-party knowledge of how Claude’s APIs and features are designed to work.
Who’s Teaching
N/A
What’s Covered
- API authentication, basic requests, and conversation management via Amazon Bedrock
- Prompt engineering techniques including XML structuring, specificity, and few-shot examples
- Prompt evaluation workflows using model-based and code-based grading
- Custom tool design using JSON Schema, multi-turn tool interactions, and batch tool calling
- RAG pipeline construction covering text chunking, embeddings, BM25 search, reranking, and contextual retrieval
- Claude features including extended thinking, vision, PDF support, citations, and prompt caching
- Model Context Protocol (MCP) server and client implementation, resource and prompt definition
- Agent workflows with Claude Code for debugging and task automation, and Computer Use for UI interaction
Skills You’ll Develop
- Building and deploying Claude-powered applications on AWS via the Bedrock API
- Designing custom tools and function-calling flows using JSON Schema
- Constructing production RAG pipelines with hybrid search and reranking
- Implementing MCP servers and clients for modular AI application architecture
- Writing and evaluating prompts systematically using grading frameworks
- Automating development and UI workflows with Claude Code and Computer Use
Level
Intermediate. Best suited for Python developers who already have AWS experience and want to build AI features into real applications. Beginners to AI development can join if they meet the Python and JSON prerequisites, but no AWS or Bedrock onboarding is provided within the course.
