Not every problem needs an AI agent. Join us for a deep dive into building AI agents that actually make sense—going beyond the hype to understand when, why, and how to deploy intelligent systems effectively.

What You'll Learn:

• 🎯 When to use agents (spoiler: not for 2+2)—understanding the right problems for agentic AI

• 🏗️ Agent Design Kit (ADK): patterns and architectures for building robust agents

• 🔧 Agent types: from simple task automation to complex multi-agent orchestration

• 🐋 Local models with Ollama: integrating open-source LLMs into your agent workflows

• 🌐 Open-source stack: building production-ready agents without vendor lock-in

Format:

• 📊 Conceptual overview with slides

• 💻 Live demos and code walkthroughs

• 🛠️ Hands-on patterns you can apply immediately

Who Should Attend: Developers, ML engineers, and tech enthusiasts interested in practical AI development. Whether you're building your first agent or optimizing existing systems, you'll leave with concrete strategies for purposeful AI deployment.

Prerequisites: Basic programming knowledge. Familiarity with Python and LLMs is helpful but not required.

Once the talk is over you can stay a bit longer for a networking session where you can chat, meet new people, and just have a good time. ✌️