OpenClaw Masterclass: Install, Build & Deploy Real AI Agents

Learn OpenClaw installation, tools, skills, cloud deployment, and build powerful AI agent automation workflows

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

Requirements
● Basic computer usage skills
● A Windows computer (Windows 10 or Windows 11 recommended)
● Internet connection
● Ability to install software on your machine
● OpenAI API key (we will create it step-by-step in the course)
● Basic understanding of terminal or command line
● Basic knowledge of cloud platforms

Description
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.

Who this course is for
■ Developers interested in AI agents and automation
■ Engineers who want to experiment with OpenClaw
■ AI enthusiasts exploring next-generation AI assistants
■ Students who want to learn AI agent architecture
■ Professionals interested in AI automation workflows
■ Anyone who wants to deploy and run OpenClaw locally or in the cloud

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