AI browser agents are one of the most practical use cases of agentic AI. Instead of only chatting with an AI model, you will learn how to build agents that can open a browser, read web pages, click buttons, type into forms, extract data, and complete multi-step workflows.
In this course, we will build everything from scratch using Python, Playwright, LLMs, Streamlit, Docker, and AWS. You will begin with the fundamentals of browser automation, including how web pages are structured, how DOM selectors work, how to interact with buttons and forms, and how to extract useful information from websites.
Then we will add LLM intelligence so the agent can understand user instructions, plan browser actions, make decisions, and continue working through an automation flow. You will build practical projects including an AI shopping research agent, a fully autonomous browser agent loop, and a human-in-the-loop approval workflow.
