Hands-on lab session continuing Part 1, containerizing and deploying the AI agent and validating GPU-accelerated deployment on Cloud Run.

Hands-On Lab (Part 2): Containerize and deploy your agent to Cloud Run with GPU acceleration, focusing on production configurations and live testing.

Hands-on lab session focusing on building and securing production-ready services on Cloud Run, including setting up an MCP server and authentication.

Hands-On Lab (Part 1): Secure and deploy a Model Context Protocol (MCP) server and start integrating the Agent Development Kit (ADK) to empower an intelligent agent.

A deep dive into building a cost-optimized, multi-tenant platform for generating diverse multimedia content, including text, images, 2D/3D models, and audio. Explore Intelligent GPU Allocation, Decoupled Workloads and Granular Resource Sharing.

Overview of infrastructure as code fundamentals, introduction to Pulumi programming model, provisioning and managing Google Cloud resources, and serverless containers on Cloud Run. Date: 2024-01-31.

A hands-on workshop introducing infrastructure as code with Pulumi, using programming languages to provision modern cloud infrastructure on Google Cloud. Covers fundamentals of the Pulumi programming model, provisioning, updating, and destroying GCP resources, and serverless containers on Cloud Run.