| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Introduction.mp4 | 133 MB | ||
| 2 - Foundations of AI Browser Agents | |||
| 2. How AI Browser Agents Actually Work (Description).html | 1 KB | ||
| 2. How AI Browser Agents Actually Work.mp4 | 61.5 MB | ||
| 3 - Browser Automation Basics with Playwright | |||
| 4 - Building Practical AI Browser Agents | |||
| 10. Building a Fully Autonomous Browser Agent Loop (Description).html | 921.6 B | ||
| 10. Building a Fully Autonomous Browser Agent Loop.mp4 | 415.6 MB | ||
| 5 - Human-in-the-Loop Agent Workflows | |||
| 11. Building the Human-in-the-Loop Browser Agent (Description).html | 921.6 B | ||
| 11. Building the Human-in-the-Loop Browser Agent.mp4 | 554 MB | ||
| 12. Uploading Files into the Agent System (Description).html | 921.6 B | ||
| 12. Uploading Files into the Agent System.mp4 | 228.1 MB | ||
| 13. Processing Uploaded Files into Approval Requests (Description).html | 921.6 B | ||
| 13. Processing Uploaded Files into Approval Requests.mp4 | 328 MB | ||
| 6 - Cloud Deployment | |||
| 14. Deploying the Backend to AWS (Description).html | 921.6 B | ||
| 14. Deploying the Backend to AWS.mp4 | 318.9 MB | ||
| 15. Deploying the Streamlit UI to AWS (Description).html | 921.6 B | ||
| 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 KB | ||
| 16. Ethics, Safety, and Responsible Browser Automation.mp4 | 64.7 MB | ||
| 8. Three Levels of Browser Agents (Description).html | 921.6 B | ||
| 8. Three Levels of Browser Agents.mp4 | 116.9 MB | ||
| 9. Build an AI Shopping Research Agent (Description).html | 921.6 B | ||
| 9. Build an AI Shopping Research Agent.mp4 | 515.3 MB | ||
| 5. DOM API and Selectors 101 (Description).html | 921.6 B | ||
| 5. DOM API and Selectors 101.mp4 | 131.4 MB | ||
| 6. Project Setup and First Browser Launch (Description).html | 921.6 B | ||
| 6. Project Setup and First Browser Launch.mp4 | 185 MB | ||
| 7. Reading and Extracting Data from Web Pages (Description).html | 921.6 B | ||
| 7. Reading and Extracting Data from Web Pages.mp4 | 191.2 MB | ||
| 3. Tools of the Trade for Building AI Browser Agents (Description).html | 921.6 B | ||
| 3. Tools of the Trade for Building AI Browser Agents.mp4 | 11 MB | ||
| 4. Why Browser AI Agents Matter (Description).html | 921.6 B | ||
| 4. Why Browser AI Agents Matter.mp4 | 6.3 MB |
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
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