Udemy - AI Browser Agents with Python and Playwright torrent

AI Browser Agents with Python & Playwright
https://WebToolTip.com
Published 6/2026

Created by Arjun Vaid

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All Levels | Genre: eLearning | Language: English | Duration: 16 Lectures ( 4h 1m ) | Size: 3.4 GB
Build agentic AI browser automation projects from scratch using Python, Playwright, LLMs, Streamlit, Docker, and AWS.
What you'll learn

⚡ Build agentic AI browser agents that can browse websites, click buttons, type into forms, extract information, and complete multi-step web tasks.

⚡ Use Python and Playwright to control a real browser and automate common web workflows.

⚡ Connect LLMs to browser automation so an AI agent can understand user instructions, plan actions, and make decisions during a workflow.

⚡ Extract structured data from websites and save results into clean formats such as tables and CSV files.

⚡ Build practical approval-based workflows where AI assists with form filling but keeps a human in the loop before final submission.

⚡ Create a Streamlit user interface for uploading files, running browser agents, reviewing results, and tracking status.

⚡ Understand safety, ethics, and limitations of browser AI agents, including CAPTCHA handling, prompt injection, and responsible automation.

⚡ Deploy an agentic browser automation project using Docker and AWS services such as S3, SQS, Lambda, DynamoDB, and Lightsail Containers.
Requirements

❗ No prior experience with browser automation is required

❗ No prior experience with Playwright is required

❗ No prior experience with AI agents is required

❗ No advanced AI or machine learning background is required

❗ Basic Python knowledge is helpful, but we will explain the code step by step

❗ Basic understanding of websites, buttons, forms, and web pages is helpful

❗ A code editor such as Visual Studio Code is recommended

❗ An AWS account is optional and only needed for the deployment section

❗ Everything will be built from scratch, step by step, including Python setup, Playwright basics, AI agent logic, UI, Docker, and deployment

❗ An OpenAI API key or access to another LLM provider is recommended for the AI agent examples