by aws-samples · MCP Server · ★ 83
Getting Started with Strands Agents - Complete Learning Path 🎯 Learning Journey: Course 1 (Fundamentals) → Course 2 (Advanced MCP, Hooks, Session Management) → Course 3 (Multi-Agent Systems) → Course 4 (Production Deployment) A comprehensive hands-on learning path for AI agent development using the Strands Agents framework. Build intelligent, multi-agent systems from basic concepts to production-ready implementations with advanced capabilities. All of these courses have free video courses to follow along available at Analytics Vidhya.
| Stars | 83 |
| Forks | 31 |
| Language | Jupyter Notebook |
| Category | MCP Server |
| License | MIT-0 |
| Quality Score | 63.1533367508496/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-05 |
| Created | 2025-08-05 |
| Platforms | aws, mcp |
| Est. Tokens | ~638k |
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sample-getting-started-with-strands-agents-course is Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using La. It is categorized as a MCP Server with 83 GitHub stars.
sample-getting-started-with-strands-agents-course is primarily written in Jupyter Notebook. It covers topics such as a2a, anthropic, aws.
You can find installation instructions and usage details in the sample-getting-started-with-strands-agents-course GitHub repository at github.com/aws-samples/sample-getting-started-with-strands-agents-course. The project has 83 stars and 31 forks, indicating an active community.
sample-getting-started-with-strands-agents-course is released under the MIT-0 license, making it free to use and modify according to the license terms.