Enabling agent autonomy · Intermediate
Implement Browser Automation for AI Agents
Give agents the ability to use the web. Learn how browsers are automated, how to show a page to a model, how to design the agent loop, and how to make runs reliable, safe and respectful.
7 lessons · 15 hr 15 min · Free
You will learn to
- ▸Decide when a browser agent is justified, and at which level of control
- ▸Automate a browser with Playwright using locators, contexts and auto-waiting
- ▸Choose between accessibility snapshots, screenshots and hybrid page views
- ▸Design the observe, think and act loop with a small, reliable action set
- ▸Defend against page-borne prompt injection and automate respectfully
Before you start
- ·Comfortable with Python or TypeScript
- ·Basic HTML and how web pages work
- ·You have built a tool-calling agent, or read the Production Agents course
Syllabus
- 01Why give agents a browser?When to use one, when not to, and three levels of control.45 min
- 02Browser automation fundamentalsProtocols, Playwright, contexts, locators and auto-waiting.2 hr
- 03How agents see pagesHTML, accessibility trees, screenshots and hybrids.1 hr 30 min
- 04The agent loop and action designTools, failure modes, and mixing scripts with AI.2 hr 30 min
- 05Making runs reliableWaits, obstacles, isolation, traces and scaling out.2 hr
- 06Safety, ethics and respectful automationPrompt injection, isolation, approvals, robots.txt and terms.1 hr 30 min
- 07Capstone projectShip a reliable, safe browser agent for a real task.5 hr