**What if your AI agent could decide for itself when call a tool, or ask another agent? ** Welcome to **Sprint #3 of the Agentic AI Engineering Lab**, where we level up from building protocols to building *decision-making agents*. In this hands-on lab, you’ll create an autonomous agent that: * speaks the **A2A protocol** to collaborate with other agents * registers to an agent hub for discovery * connects to an **MCP server** when tools are needed * intelligently chooses *when to delegate vs when to execute* No lectures. Just systems thinking + real building. *** ### What We’ll Do * **09:30** \- Quick round of introductions * **09:45** \- Recap: AI Agents\, MCP Protocol and A2A Protocol * **10:00** \- Build your decision\-making agent * **11:30** \- Live demos \+ technical teardown * **12:15** \- Wrap\-up \+ takeaways *** ### What to Expect * Hands-on building, not passive listening * Real agent-to-agent experiments * Collaboration with fellow builders * Fast ideas, quick tests, lots of learning * Unexpected behavior (the fun part) ### What Not to Expect * Long lectures * Step-by-step tutorials * Sales pitches * Perfect code This is a **lab**; we learn by building, breaking, and iterating. *** ### ‍ Who Should Join Curious developers, tinkerers, and engineers, with basic knowledge of AI Agents. **Bring:** * Laptop with dev setup * Access to an LLM (Claude / OpenAI / Ollama) * Comfort building small things in any language *** ### Location The venue will be announced soon. Stayed tuned!