Gemini

In this codelab, we are going to build GlowUp, a photo restoration tool. GlowUp uses AI to restore old, damaged, or black-and-white photos, creating high-quality 4K color images. You can use this tool to give a new life to your family photos, or even adapt it to restore damaged illustrations, drawings, paintings or other forms of images.

This talk provides supporting material for a workshop focused on "vibe coding" a 2D game. It demonstrates how to build such a game using the Go programming language and the Gemini AI.

Hands-on session demonstrating how to design and build interactive, multimodal agentic user interfaces with Google's ADK and A2UI framework.

This talk explores how to leverage ADK (Assistant Development Kit) and Gemini to create a personalized executive assistant. Attendees will learn the practical steps and tools involved in developing an AI-powered assistant to streamline their workflow.

Agent Development Kit (ADK) is an open source agent development framework built by Google. In this talk we are going to see how to leverage Vertex AI to make production-ready agents that include features like memory, session management, artifact management, RAG and others. The session will walk you through the development of an “Executive Assistant” agent that will learn not only about your tasks, but your preferences. Even if you have never built an agent before, in this talk you will learn how to quickly ramp up using Gemini CLI, the developer knowledge MCP and codewiki, for a truly modern agent development experience.

Inspired by the "computer" in Star Trek, in this talk we are going to create a natural language diagnostic agent that can answer questions about your computer, from asking the number of cores and amount of memory installed to running a "Level 1 Diagnostic Procedure". This AI agent will be built step by step using Python, Vertex AI, Gemini and OSQuery.

Inspired by the "computer" in Star Trek, in this talk we are going to create a natural language diagnostic agent that can answer questions about your computer, from asking the number of cores and amount of memory installed to running a "Level 1 Diagnostic Procedure".

Inspired by the "computer" in Star Trek, in this talk we are going to create a natural language diagnostic agent that can answer questions about your computer, from asking the number of cores and amount of memory installed to running a "Level 1 Diagnostic Procedure".

This talk demonstrates how to build an AI agent step-by-step using Python, Vertex AI, Gemini, and Osquery. It explores how Osquery, a tool for exposing OS information via SQL, can be leveraged by large language models to enable advanced diagnostics through natural language queries, eliminating the need to memorize complex command lines.

Hands-on workshop on building and deploying applications with the latest Gemini 2.x models, covering multimodal capabilities, tool use, and best practices for developer workflows.