Installing Openclaw (formerly Clawdbot) On Azure Linux Vm
Published 2/2026
Created by Scott Duffy • 1.000.000+ Students
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 10 Lectures ( 53m ) | Size: 545 MB
What you'll learn
✓ Deploy an Azure Linux Virtual Machine
✓ Install and Configure OpenClaw
✓ Secure Your OpenClaw Deployment
✓ Connect and Use OpenClaw with Real Tools
Requirements
● Basic familiarity with command-line tools
● An active Azure subscription
● Fundamental understanding of Linux systems
Description
Welcome to Installing OpenClaw (formerly Clawdbot) on Azure Linux VM - a practical, hands-on course that takes you from zero to a fully functional autonomous AI agent hosted in the cloud. In this course, you'll learn how to deploy OpenClaw, the open-source personal AI assistant that goes far beyond traditional chatbots. OpenClaw can execute tasks on your behalf, interact with your messaging apps, manage files and calendars, and automate workflows - all from your own infrastructure rather than relying on a third-party hosted service.
OpenClaw has quickly become one of the most talked-about AI projects in the developer community because it bridges cutting-edge AI models with real-world automation capabilities. It links popular messaging platforms like WhatsApp, Telegram, Slack, and Discord with powerful AI models so that you can give natural language instructions and let the agent take action - whether that's sorting emails, interacting with web pages, organizing data, or triggering scripts on a schedule.
In this course, you'll get a step-by-step walkthrough of how to set up an Azure Linux Virtual Machine (VM) - a reliable, always-on environment perfect for running a personal AI agent 24/7. You'll configure your VM, install necessary dependencies including Node.js, and then deploy OpenClaw so it can serve as your own cloud-hosted AI assistant. We'll walk through best practices for securing your instance, connecting it to your favorite chat platforms, and verifying that everything runs smoothly in production.
This course isn't just about clicking buttons - it's about understanding why each step matters. You'll learn how cloud environments differ from local setups, how to balance automation power with safety, and how to troubleshoot common issues so your AI agent stays robust and reliable. Whether you're an Azure enthusiast, a developer looking to innovate with AI agents, or a productivity hacker wanting to automate workflows, this course gives you the skills to take control of your AI and tailor it to your life or business.
By the end of this course, you'll have
• A working OpenClaw installation on an Azure Linux VM.
• Confidence in configuring and securing your AI agent.
• The knowledge to connect it to chat channels for real-world use.
• A foundation for building your own autonomous AI workflows.
Let's build your AI assistant - the future of automation starts here.
Who this course is for
■ Developers and tinkerers interested in AI agents, automation, and self-hosted systems
■ DevOps engineers looking to understand how to deploy and maintain AI services in a secure cloud environment
■ Tech entrepreneurs or productivity enthusiasts who want to experiment with running their own AI assistant 24/7
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