Prototype to Production with ADK

Description

Learn more about the Agent Development Kit → https://google.github.io/adk-docs/ You've seen impressive AI agent demos, but what is the playbook for taking a simple proof-of-concept to an enterprise-grade agent that your business can actually rely on? In this video, we'll show you how to build, deploy, and monitor a robust, scalable, and secure multi-agent application from scratch using Google's Agent Development Kit (ADK). Join Sita and Ayo as they walk you through building a complete AI Code Review Assistant. You will learn how to orchestrate specialized multi-agent systems, manage shared context with session states and persistent memory, deploy your agent as a scalable service to Vertex AI Agent Engine, and debug execution using Cloud Trace. Chapters: 0:00 - Introduction 1:38 - Code Review Assistant Architecture 3:12 - ADK Concepts: Sessions, Memory, & Artifacts 4:56 - Agent Deployment Options 5:49 - Observability with Cloud Trace 6:29 - Chapter 1: Intro & Learning Objectives 6:49 - Chapter 2: Your First Agent Deployment 11:18 - Chapter 3: Preparing Your Workspace 14:26 - Chapter 4: Building Your First Agent 18:38 - Chapter 5: Sequential Agent Pipeline (Review) 28:36 - Chapter 6: Loop Agent Pipeline (Fix) 37:24 - Chapter 7: Deploying to Production 41:49 - Chapter 8: Observability 42:55 - Eng Talk: Community questions 44:46 - Outro & next steps Resources: Codelab → https://goo.gle/adk-code-reviewer-assistant-lab ADK Samples GitHub repo → https://goo.gle/4uVtmSR More videos on ADK → https://goo.gle/4uUiEfp #AIAgents #ADK #GoogleCloud #VertexAI #MultiAgentSystems #ProductionAI #observability Subscribe to Google For Developers → https://goo.gle/developers Products Mentioned: ADK, Agent Development Kit, Google AI