AI Browser Agents with Python & Playwright
Create intelligent web automation workflows and deploy practical agent systems
AVCreated by Vivian Aranha, Arjun Vaid
Learn how to build intelligent browser agents that automate web tasks, interpret instructions, and support human approvals using Python and Playwright. Move from browser basics to advanced workflows, integrating LLMs, user interfaces, and cloud deployment. Gain practical skills for real-world automation projects.
Packt | Aug 2026 | 228 min
What You Will Learn
You will start by exploring browser and DOM fundamentals, then build up your skills with hands-on Python and Playwright projects. As you progress, you will integrate LLMs for smarter automation, add human-in-the-loop controls, and develop a user interface. The final sections guide you through containerizing and deploying your system on AWS.
Key Features
- Automate web browsing and data extraction with Python, Playwright, and LLMs
- Design workflows that combine AI decision-making with human approval steps
- Deploy your agent system to the cloud using Docker and AWS services
Target Audience
This course is ideal for beginner Python developers, automation engineers, students, and anyone interested in AI-powered web automation. If you have basic Python skills and want to build practical agent systems for business or personal projects, you'll find step-by-step guidance here. No prior experience with Playwright, Streamlit, Docker, or AWS is needed.
