What you'll learn:
- Understand what OpenClaw is and how AI agent systems work
- Learn the architecture of OpenClaw and how its components interact
- Explore OpenClaw vs other AI assistants and agent frameworks
- Understand the 25 built-in tools available in OpenClaw
- Learn how 53 bundled skills enable automation and AI capabilities
- Install OpenClaw using multiple setup methods
- Deploy OpenClaw with one-click cloud deployment
- Install and run OpenClaw locally on Windows
- Install OpenClaw on Ubuntu using Windows WSL
- Create and configure your OpenAI API key for OpenClaw
- Learn the OpenClaw onboarding workflow
- Navigate and use the OpenClaw graphical interface
- Work with the OpenClaw Terminal User Interface (TUI)
- Understand and modify openclaw.json configuration
- Use OpenClaw documentation effectively
- Troubleshoot common installation issues
- Deploy OpenClaw on a Google Cloud Linux VM
- Connect securely to servers using SSH
- Set up OpenClaw server environments
- Run automation workflows like file creation, scheduling jobs, and web summarization
AI agents are transforming how we build automation, intelligent assistants, and developer tools.
OpenClaw is one of the most powerful open-source AI agent frameworks that allows you to build intelligent systems capable of performing real tasks using tools, skills, and automation workflows.
In this course, you will learn how OpenClaw works, how to install it, and how to run your own AI agent environment.
We start with the fundamentals of OpenClaw, including its architecture, built-in tools, and bundled skills that power AI automation.
You will then learn multiple ways to install OpenClaw, so you can choose the setup that works best for your environment.
The course covers:
One-click OpenClaw cloud deployment
Local installation on Windows
Ubuntu installation using Windows WSL
Optional Google Cloud VM deployment
Once OpenClaw is installed, we explore the platform in depth, including:
OpenClaw onboarding
User interface exploration
Terminal User Interface (TUI)
Configuration using openclaw.json
Documentation walkthrough
Troubleshooting installation issues
You will also learn how to run AI agents, automate tasks, and perform real operations like file creation, scheduling jobs, and web summarization.
By the end of this course, you will be able to:
Install OpenClaw in different environments
Configure OpenClaw with API keys and settings
Understand OpenClaw tools and skills
Run and interact with AI agents
Deploy OpenClaw in local or cloud environments
If you want to learn how modern AI agents work and start building with OpenClaw, this course will give you the complete foundation.
