Google Cloud Labs: AI Toolkit

RSVP on https://rsvp.withgoogle.com/events/google-cloud-labs-ai-toolkit-toronto .

Join Google Cloud Labs for an immersive, hands-on workshop designed to provide you with the practical skills and architectural patterns needed to deploy secure and scalable AI on GKE  and integrate applied AI solutions across Google’s Data Cloud.

Please fill out the registration form on Google's event page to express interest in joining the event! Capacity is limited and registration is required. 

Welcome to The Cloud Engineer's AI Toolkit workshop! 

This hands-on workshop will provide you with the practical skills and architectural patterns needed to deploy secure and scalable AI on GKE  and integrate applied AI solutions across Google’s Data Cloud.

This is an interactive session, not a lecture. Get ready for a series of live labs where you will use GKE OneMCP and the Gemini CLI to accelerate operations, and implement the GKE Agent Sandbox for secure code execution. In our data lab, we’ll guide you through building multimodal pipelines to power BigQuery Graph analytics and agentic workflows in ADK. You will leave with the practical expertise to deploy, secure, and scale production-grade AI workloads.

Note: To participate, you must bring your own laptop and power cable. The activities require a laptop and cannot be completed on a tablet or phone. 

 
Who Should Attend?
This program is designed for Platform and Security Engineers, as well as Data Practitioners.  Whether your focus is implementing defense-in-depth strategies, such as securing inference endpoints and enforcing security policies via Workload Identity and Policy Controller, or building multimodal data platforms that power agentic workflows, this session is for you. To get the most out of the labs, you should have foundational knowledge of GKE, and containerization, and basic SQL, alongside a commitment to maintaining auditable, scalable security for AI workloads.

What You Will Learn:
Master AI-Augmented Operations: Dive into the next generation of infrastructure management by utilizing the GKE MCP server, Gemini CLI, and kubectl-ai to replace manual slogging with seamless, natural-language-driven cluster operations.

Architect Secure Agentic Ecosystems: Build and deploy AI agents using the GKE Agent Sandbox, implementing hardware-isolated environments that safely execute untrusted, AI-generated code without compromising your cluster's security posture.

Engineer Autonomous Remediation: Transition from reactive troubleshooting to proactive platform skills, creating custom AI agents that autonomously detect, diagnose, and resolve complex configuration drifts and cascading failures in real-time.

Unify & Govern AI Data Pipelines: Learn to establish governed pathways for ingesting, cleaning, and managing multi-format data across structured and unstructured sources, ensuring your AI is always grounded in accurate, secure information.

Unlock Multimodal Insights: Discover how to leverage built-in AI across your data ecosystem to analyze complex datasets, compare vector embeddings, and integrate your agents with data  to uncover patterns that human eyes might miss.

Agenda

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Hosted By

Solomon Hsu, GDG Organizer

I believe in one mandate in the digital space: Crafting Authentic Digital Experiences for All People.

With that vision, I value digital accessibility and user centric design as the core foundation for all my projects. It is within the users' insights and needs that allow us to build great apps.

Hiral Thaker, Co-organizer

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-toronto-presents-google-cloud-labs-ai-toolkit/.