Building Autonomous Web Agents with the Agent Development Kit (ADK)

As AI transitions from static chat interfaces to active assistants, the ability to build agents that can interact directly with the web is becoming an essential skill. This course introduces you to the fundamentals of creating autonomous web agents that can navigate websites, interact with page elements, and complete tasks on your behalf. Through clear, written explanations and structured code walkthroughs, you will learn how to leverage the Agent Development Kit (ADK) to build agents capable of managing browser state and executing multi-step workflows. You will understand how to translate visual layouts into actionable steps for your AI, giving you the foundation to automate repetitive web-based tasks. What you'll learn: 1. Understand the core architecture of autonomous web agents and the ADK framework. 2. Manage browser states and handle dynamic page changes systematically. 3. Apply visual grounding concepts to help your agent identify and interact with on-screen elements. 4. Configure multi-agent orchestration to break down complex web tasks into coordinated sub-tasks. 5. Implement modern prompt engineering patterns specifically designed for web navigation. 6. Debug agent workflows and handle common navigation errors gracefully. The course begins with foundational terminology and agent design principles before guiding you through step-by-step code implementations for browser control and multi-agent coordination. You will study practical scenarios, analyzing how agents interpret web pages and make decisions in real time. This course is designed for beginners, developers, and AI enthusiasts who want to understand agentic workflows; no prior experience with web agents or ADK is required, though a basic familiarity with programming concepts is helpful. Start reading today to build your first autonomous web assistant.