AI agents are everywhere, but most demos fall apart the moment something goes wrong
— a tool call fails, an API times out, or a long-running workflow loses its state.
In this hands-on workshop, you'll learn how to build AI agents that actually work
in the real world.

We'll start from scratch using AWS Strands Agents SDK to build an AI agent, then
connect it to external tools and data sources using the Model Context Protocol
(MCP). Finally, we'll tackle the hardest part of production AI — reliability — by
integrating Temporal to make our agent workflows durable, resumable, and
fault-tolerant.

What you'll learn:
- How to build AI agents using the Strands Agents SDK
- Connecting agents to external tools with MCP servers
- Why AI agent workflows fail in production and how to fix it
- Using Temporal to add durability, retries, and state management to agent
workflows

Who should attend: Developers curious about AI agents, whether you're just getting
started or looking to move beyond basic chatbot demos. No prior experience with
Strands, MCP, or Temporal required — just bring your laptop and a sense of
curiosity.

Prerequisites: Basic Python knowledge and a laptop with Python 3.10+ installed.