Introduction to AWS and Production MCP Architectures
Explore how to apply MCP in production environments using AWS. Understand multi-server architectures, secure service communication, data persistence with DynamoDB, and integration with managed AI agents. Gain practical skills for building scalable and maintainable AI systems beyond local tutorials.
We'll cover the following...
Up to this point in the course, we’ve learned how the Model Context Protocol (MCP) enables clients to discover and use tools, prompts, and resources exposed by MCP servers through a standardized protocol. Most examples so far are intentionally simple and run locally, so we can focus on MCP behavior without adding deployment and infrastructure complexity.
This lab shifts the focus from learning core MCP concepts to applying them in a production-oriented environment similar to those teams use to build and deploy agentic AI systems.
Why we are using AWS
Enterprise AI agents rarely run entirely on a developer’s laptop. Instead, they operate within cloud platforms ...