Developers & Practitioners

Google Cloud content and resources for its technical communities.

Your First AI Application is Easier Than You Think

Learn how to build your first AI-powered application with Google's Gemini model. This codelab guides developers with no prior AI experience through creating an interactive travel chatbot, covering connection, system instructions, and real-world data integration.

By Mollie Pettit • 5-minute read

Developers & Practitioners

Your First AI Application is Easier Than You Think

Your epic quest awaits: Conquer the Agentverse

Accelerate AI with Cloud Run: Sign up now for a developer workshop near you!

Accelerate AI with Agents: Event Series for Developers in EMEA

News in short

Agent Factory Recap: Build AI Apps in Minutes with Google's Logan Kilpatrick

Agent Factory Recap: AI Agents for Data Engineering and Data Science

Agent Factory Recap: Securing AI Agents in Production

ADK architecture: When to use sub-agents versus agents as tools

Easy AI workflow automation: Deploy n8n on Cloud Run

Boosting LLM Performance with Tiered KV Cache on Google Kubernetes Engine

Build Your First ADK Agent Workforce

Building Collaborative AI: A Developer's Guide to Multi-Agent Systems with ADK

7 ways networking powers your AI workloads on Google Cloud

Master multi-tasking with the Jules extension for Gemini CLI

Announcing docs.cloud.google.com: The new home for Google Cloud documentation

Introducing Google Gen AI .NET SDK

Design Cross-Cloud Network VPC Network Peering with NVAs and Regional Affinity