Cloud Engineer’s AI Toolkit: Sign up Now for a Developer Workshop Near You!

The world of AI is rapidly shifting from experimental Large Language Models to an era of Agentic AI. In the agentic era, autonomous software agents act on behalf of employees and consumers—driving a fundamental change in commerce and business operations. This transition presents a critical new challenge: how to securely build, deploy, and govern agents at enterprise scale.

That’s why we’re hitting the road across North America for a series of hands-on workshops designed to move you past the theory and into production. This isn’t a sit-and-listen lecture; it’s a “bring your laptop and build” session. You will gain hands-on experience for the exact skills required to transition your organization into this new agentic era. Whether you’re looking to harden your Kubernetes clusters for AI or transform your data warehouse into a powerful engine for autonomous agents, this program will equip you with the practical toolkit used by leading enterprises.

Who should attend

This program is designed for Platform and Security Engineers, as well as Data Practitioners.  

For Platform and Security Engineers

If you’re a Platform, Security, or DevOps Engineer, this is your toolkit for securing and scaling the next generation of workloads.

• What you need: Foundational knowledge of GKE and containerization.

• What you’ll do: Master defense-in-depth strategies, secure inference endpoints, and automate cluster operations using natural language.

For the Data Practitioners

Calling all Data Engineers, Analysts, and Scientists. If you’re ready to bridge the gap between traditional analytics and Agentic AI, this track is for you.

• What you need: Some cloud experience and basic SQL. A little Python knowledge goes a long way, but we’ll guide you through the rest!

• What you’ll do: Build governed pipelines, unlock multimodal insights from unstructured data, and deploy autonomous agents that turn dashboards into action.

What you’ll build

The labs are designed to take you from raw infrastructure to a full-stack agentic application.

Track 1: GKE + Data

• AI-Augmented Ops: Use Gemini and MCP servers to manage clusters with natural language instead of manual slogging.

• Secure Sandboxing: Deploy AI agents in hardware-isolated environments to safely execute AI-generated code.

• Massive Scale: Use GKE to process massive datasets and create complex knowledge graphs.

Track 2: Data Engineering & Analytics

• Governed Ingestion: Use Spark and Knowledge Catalog to build a unified, governed data layer for business-ready insights.

• Conversational Analytics: Integrate vector search and multimodal data (images/logs) to create a “talk to your data” experience.

• Graph-Powered Agents: Use BigQuery Graph, Knowledge Catalog and the Agent Development Kit (ADK) to build agents that understand complex relationships.

Note: These sessions are interactive. You must bring your own laptop and power cable to participate.

Ready to build?

While theoretical knowledge is valuable, nothing beats hands-on experience guided by Google experts. Registration is officially open for the upcoming sessions listed below. Come build with us! Note that different dates host different tracks.