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Artificial Intelligence
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DeepLearning.AI

Building AI Browser Agents

  • up to 1 hour
  • Intermediate

Learn to build AI agents that interact with websites in this comprehensive course. Gain hands-on experience in creating autonomous web agents capable of performing tasks like web scraping and form filling, while exploring advanced frameworks like AgentQ.

  • AI browser agents
  • Web automation
  • AgentQ framework
  • Reinforcement learning
  • Web scraping

Overview

In this course, you'll delve into the world of AI browser agents, learning how they automate online tasks and the decision-making strategies they employ. You'll build agents that can scrape websites, fill out forms, and more, using the AgentQ framework to enhance their capabilities. By the end, you'll have a solid understanding of AI agents' current state and future directions.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Python Developers

Ideal for developers with basic Python skills who want to explore building autonomous agents that interact with the web.

AI Enthusiasts

Suitable for those interested in learning about AI browser agents and their applications.

Tech Professionals

Great for professionals looking to enhance their skills in AI and web automation.

This course offers a unique opportunity to learn about AI browser agents and their applications. You'll gain practical skills in building autonomous agents, enhancing your understanding of AI and web automation, making it ideal for Python developers and tech professionals.

Pre-Requisites

1 / 3

  • Basic Python skills

  • Understanding of web technologies

  • Interest in AI and automation

What will you learn?

Introduction
An overview of the course and its objectives.
Intro to Web Agents
Learn about web agents, their architecture, and key components.
Building a Simple Web Agent
Hands-on experience in creating a basic web agent with code examples.
Building an Autonomous Web Agent
Develop an autonomous web agent capable of executing multiple tasks.
Agent Q
Explore the AgentQ framework and its self-correction capabilities.
Deep Dive into AgentQ and MCTS
In-depth exploration of Monte Carlo Tree Search and its application in AgentQ.
Future of AI Agents
Understand the current state and future directions of AI agents.
Conclusion
Wrap up the course with key takeaways and next steps.
Quiz
Test your knowledge with a short quiz.
Appendix – Tips and Help
Additional resources and tips for building web agents.

Upcoming cohorts

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