Udemy - AI Browser Agents with Python and Playwright

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size3.4 GB
  • Uploaded Byfreecoursewb
  • Downloads93
  • Last checkedJun. 12th '26
  • Date uploadedJun. 12th '26
  • Seeders 0
  • Leechers47

Infohash : 1D44D14342C98CF9FF7334F7E196CA3CC302747E

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

Files:

[ WebToolTip.com ] Udemy - AI Browser Agents with Python and Playwright
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1. Introduction.mp4 (133.0 MB)
    2 - Foundations of AI Browser Agents
    • 2. How AI Browser Agents Actually Work (Description).html (1.0 KB)
    • 2. How AI Browser Agents Actually Work.mp4 (61.5 MB)
    • 3. Tools of the Trade for Building AI Browser Agents (Description).html (0.9 KB)
    • 3. Tools of the Trade for Building AI Browser Agents.mp4 (11.0 MB)
    • 4. Why Browser AI Agents Matter (Description).html (0.9 KB)
    • 4. Why Browser AI Agents Matter.mp4 (6.3 MB)
    3 - Browser Automation Basics with Playwright
    • 5. DOM API and Selectors 101 (Description).html (0.9 KB)
    • 5. DOM API and Selectors 101.mp4 (131.4 MB)
    • 6. Project Setup and First Browser Launch (Description).html (0.9 KB)
    • 6. Project Setup and First Browser Launch.mp4 (185.0 MB)
    • 7. Reading and Extracting Data from Web Pages (Description).html (0.9 KB)
    • 7. Reading and Extracting Data from Web Pages.mp4 (191.2 MB)
    4 - Building Practical AI Browser Agents
    • 10. Building a Fully Autonomous Browser Agent Loop (Description).html (0.9 KB)
    • 10. Building a Fully Autonomous Browser Agent Loop.mp4 (415.6 MB)
    • 8. Three Levels of Browser Agents (Description).html (0.9 KB)
    • 8. Three Levels of Browser Agents.mp4 (116.9 MB)
    • 9. Build an AI Shopping Research Agent (Description).html (0.9 KB)
    • 9. Build an AI Shopping Research Agent.mp4 (515.3 MB)
    5 - Human-in-the-Loop Agent Workflows
    • 11. Building the Human-in-the-Loop Browser Agent (Description).html (0.9 KB)
    • 11. Building the Human-in-the-Loop Browser Agent.mp4 (554.0 MB)
    • 12. Uploading Files into the Agent System (Description).html (0.9 KB)
    • 12. Uploading Files into the Agent System.mp4 (228.1 MB)
    • 13. Processing Uploaded Files into Approval Requests (Description).html (0.9 KB)
    • 13. Processing Uploaded Files into Approval Requests.mp4 (328.0 MB)
    6 - Cloud Deployment
    • 14. Deploying the Backend to AWS (Description).html (0.9 KB)
    • 14. Deploying the Backend to AWS.mp4 (318.9 MB)
    • 15. Deploying the Streamlit UI to AWS (Description).html (0.9 KB)
    • 15. Deploying the Streamlit UI to AWS.mp4 (208.5 MB)
    7 - Ethics, Safety, and Responsible Automation
    • 16. Ethics, Safety, and Responsible Browser Automation (Description).html (1.0 KB)
    • 16. Ethics, Safety, and Responsible Browser Automation.mp4 (64.7 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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