Toronto AI Developers Group

Important note: Register on AICamp event website (or on luma) is REQUIRED for admission.

Join Neo4j and Google Cloud for an hands-on workshop where you’ll learn how to build AI agents powered by knowledge graphs. Limited to 50 qualified builders.

This session goes beyond theory—you’ll actively work with real-world datasets and deploy Neo4j alongside Google Cloud Gemini Enterprise in a live cloud environment. Designed for data scientists and data engineers, this workshop walks you through the complete workflow—from parsing and loading data using both traditional and AI-driven techniques, to constructing intelligent agents that query and reason over connected data.

What You Will Learn:
✅ Build AI agents that leverage knowledge graphs
✅ Integrate Neo4j with Google Cloud Gemini Enterprise in a production-ready environment
✅ Traditional vs. AI-driven data parsing and loading
✅ Practical approaches to graph-based AI using real-world datasets

Who should attend:
Developers, Builders, Data engineers, Data scientists, and Tech leaders.

Featured Speakers:

• Ben Lackey, Neo4j
• Ezra Uzosike, Google

Important Notes: Register on the AICamp is required for admission. RSVP on meetup is turned off.

Building Next Gen Autonomous Agentic Systems with Google - Toronto

Join Google and AICamp for an intensive, in-person build lab where theory translates directly into functional software. Most AI tutorials stop at simple single-turn prompts, but scalable systems require autonomous agents that reason over live data, manage persistent context, and execute complex multi-step tasks. In this hands-on workshop, you will step beyond conversational interfaces to architect, configure, and deploy next-generation autonomous agentic systems using Google Cloud.

Bring your laptop! This is an active engineering session with zero local setup required. You will leave with a fully functioning system running in your cloud environment.

What We'll Do:

• Autonomous Task Orchestration: Configure multi-step agent workflows that plan, reason, and act across complex task flows.
• State & Tool Integration: Connect agent architectures to cloud tools, execution environments, and live datasets.
• Resilient System Design: Implement robust patterns built to manage complex runtime inputs, long-running processes, and error recovery.

Agenda:
- 5:00pm~5:30pm: Checkin, food and networking
- 5:30pm~7:30pm: Hands-on workshop/Code labs
- 7:30pm~8:00pm: Build your own projects
- 8:00pm~8:30pm: Demo, Open discussion and Mixer

Hands-on Workshop: Building Resilient Asynchronous Agents
Moving beyond conversational chatbots requires systems that do more than predict the next token. Real-world autonomous architectures must plan multi-step operations, interface with external tools, maintain state across asynchronous operations, and recover cleanly from runtime failures.
In this intensive 90-minute, in-person masterclass, you will move directly into active engineering. Working entirely inside Google Cloud Shell, you will build and deploy a next-generation autonomous agentic system from the ground up—wiring dynamic tool calling, state management, and resilient multi-step orchestration into a cohesive, runnable architecture.
No slides, no abstract theory, and zero local setup required. Bring your laptop, build alongside Google engineers, and leave with a fully functional autonomous system running live in the cloud.

Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Toronto or 500K+ worldwide.