The goal of this workshop is to provide participants with a comprehensive understanding of the principles and practices of building AI agents using Temporal, including prompt engineering, retrieval-augmented generation (RAG), tool calling, and agent workflows.
| Topic | Timing |
|---|---|
| Intros | 9:45 - 10 |
| Local Environment Setup | 10 - 10:30 |
| What are we building | 10:30 - 10:45 |
| Why Temporal | 10:45 - 11 |
| Building Blocks Intro | 11:10 |
| Prompt Engineering | 11:10 - 12 |
| Lunch | 12 - 1 |
| RAG | 1 - 2:15 |
| Break | 2:15 - 2:30 |
| Tool Calling | 2:30 - 3:15 |
| Topic | Timing |
|---|---|
| MCP | 9:30 - 11 |
| Architecture Comparison (agentic vs workflow) | 11 - 12 |
| Lunch | 12 - 1 |
| Agent Building | 1 - 3:30 |
The goal of this workshop is to provide participants with a comprehensive understanding how AI Agents make decisions, manage memory, and interact with each other using the Agent2Agent (A2A) protocol.
- Introductions
- Local Environment Setup
- Local Environment Setup Exercise
- Agent Decision Making & Reasoning
- Agent Decision Making & Reasoning Exercise
- AI Agent Memory Systems
- AI Agent Memory Systems Exercises
- Agent2Agent (A2A) Protocol
- Agent2Agent (A2A) Protocol Exercise