[IN-PERSON WORKSHOP] - Google Cloud Labs: AI Toolkit (Free with registration)

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 below to express interest in joining the event! Capacity is limited and registration is required. PLEASE MAKE SURE TO REGISTER USING THE LINK BELOW. REGISTRATIONS VIA THE GDG AUSTIN COMMUNITY PLATFORM WILL NOT SECURE YOUR SPOT. YOU MUST USE THE LINK BELOW!

Registration: https://rsvp.withgoogle.com/events/google-cloud-labs-ai-toolkit-austin

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:

9:15 AM – Check-in, Networking, Coffee, and Breakfast Bites

10:00 AM – Keynote

10:30 AM – Presentation & Lab 1: AI-Augmented Ops (Gemini and MCP Servers)

11:45 AM – Lunch

12:45 PM – Presentation & Lab 2: Secure Sandboxing (GKE Agent Sandbox)

2:00 PM – Presentation & Lab 3: Massive Scale (GKE Knowledge Graphs)

3:30 PM – Closing: Looking Back to Looking Forward

4:00 PM – Q&A, Networking, and Happy Hour

See you there!

Agenda

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Hosted By

Leopoldo Hernandez, Software Engineer

I am an avid and focused individual. I strive for daily self-enrichment of the ever-growing CS field. After teaching English as a Second Language to adults for 10+ years, I came to the realization that my passion for problem solving, patience and dedication needed a change of pace, and so, a career-change took place.

I studied computer science at 42 Silicon Valley where the pedagogy is peer-to-peer, based learning. I was able to learn about what inspired me and motivated me while coding away projects for 14+ hours a day. I was a lot of fun.

I'm currently a Full-Stack Developer at Wayfair based in Austin TX. :D

Ryan Francis, CEO & Founder

👋 I’m Ryan and as the CEO/Founder of Whisler, I partner with companies across the US to find top-tier mobile engineering talent within Flutter, iOS, Android, React Native, and Xamarin. I can do a bit of everything outside of mobile (FE, BE, DevOps/Cloud, QA, ML, Marketing, Product), but mobile is my true specialization (particularly Flutter) 📲.

Chad Pavliska, Fractional CTO & Indie Developer

As a seasoned software engineer and entrepreneur, I bring a wealth of experience in engineering, leadership, and entrepreneurship to the Google Developer Group. Specializing in mobile app development, I extensively use Flutter, Android, and Firebase across multiple projects to deliver innovative solutions.

My journey includes leading development teams, fostering innovation, and driving projects from conception to market. I am passionate about leveraging technology to solve real-world problems and am excited to collaborate with fellow developers to push the boundaries of what’s possible in the tech world.

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-austin-presents-in-person-workshop-google-cloud-labs-ai-toolkit-free-with-registration/.