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OpenClaw: Agentic AI for Developers

Learn OpenClaw from start to finish. Learn how to deploy a self-hosted AI assistant, connect your messaging apps, automate workflows with cron jobs, and keep everything secure.

4.6
10 Lessons
1h
Updated 1 month ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • A clear understanding of what OpenClaw is and how an open-source agentic AI assistant differs from browser-based chat tools
  • Hands-on experience with OpenClaw’s five-layer architecture
  • Strong skills in deploying OpenClaw responsibly
  • The ability to connect OpenClaw to real workflows by integrating Slack and GitHub
  • Working knowledge of scheduling autonomous work through cron jobs and heartbeats

Learning Roadmap

10 Lessons

1.

Understanding OpenClaw

Understanding OpenClaw

Discover OpenClaw, an AI assistant enhancing developer workflows with automation and security.

2.

Making it Useful

Making it Useful

Master installation, integration, and automation with OpenClaw for enhanced productivity.

3.

The Road Ahead

The Road Ahead

2 Lessons

2 Lessons

Master security practices and enhance your OpenClaw automation layer for optimal performance.
Certificate of Completion
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Author NameOpenClaw: Agentic AI forDevelopers
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
ABOUT THIS COURSE
This OpenClaw course begins with the fundamentals, teaching you how to deploy a proactive AI assistant that executes tasks rather than just generating text. You’ll explore the five layers of the OpenClaw architecture, the Gateway, the plugin system, the channel layer, the LLM layer, and the memory system, while learning how skills extend your agent’s capabilities without bloating every conversation. Next, the course covers a practical setup. You’ll install OpenClaw, connect Slack and GitHub so your agent can participate in real team workflows, and schedule tasks through cron jobs and heartbeats to ensure your assistant is acting while you sleep. Finally, you will apply these concepts through a security-first lens, learning how to control Gateway exposure, restrict who can message your agent, and manage credentials safely. Upon completion, you’ll have a fully functional OpenClaw instance running securely, connected to your apps, and automated to handle complex engineering tasks with confidence.

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