Building AI-Powered Browser Agents with Playwright and Large Language Models

People creating AI agents often want to streamline complex web tasks, but can get stuck working through site navigation and interaction quirks. This course teaches how to combine Playwright with large language models (LLMs) to create intelligent agents capable of navigating websites, filling out forms, and executing multi-step workflows. Unlike basic automation tutorials, this course emphasizes hands-on practice in building a model-agnostic agent architecture so you can swap LLM providers easily, crafting prompts, and scaling from simple form automation to multi-step workflows, crafting prompts, and scaling from simple form automation to multi‑step workflows. Developers, QA engineers, and AI enthusiasts alike can benefit from gaining these practical skills.

Learning objectives
Integrate large language models (LLMs) into browser automation workflows.
Craft effective prompts for intelligent agent behavior.
Build and execute multi-step workflows using AI-powered agents.
Scale from simple automation to advanced, adaptive agents.
Set up and manage environments for AI-powered automation.
Follow best practices for security, error handling, and maintainability.