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Installing OpenClaw (formerly Clawdbot) On Azure Linux VM
Rating: 4.4 out of 5(229 ratings)
1,643 students

Installing OpenClaw (formerly Clawdbot) On Azure Linux VM

Deploy OpenClaw on Azure Linux VM and run your autonomous AI assistant securely
Created byScott Duffy • 1.500.000+ Students
Last updated 2/2026
English
English [Auto],

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

Course content

1 section • 19 lectures • 1h 52m total length

  • What is OpenClaw?5:58

    Learn how to install OpenClaw on an Azure Linux VM and explore its role as a personal AI assistant wrapper with memory, a persistent session, and cron-driven automations.

  • Security Warning5:42

    Run OpenClaw in an Azure Linux VM to limit risk, and restrict keys with read-only access while treating it as an experimental hobby.

  • Creating a Linux VM for OpenClaw7:27

    launch a linux virtual machine in azure for open claw by selecting a b2s size, enabling ssh key login, and configuring a resource group and region.

  • Installing Prerequisites6:49

    Install prerequisites for OpenClaw on an Azure Linux VM by updating packages, installing build tools, curl, git, Node.js, and Homebrew, and adding a sudo user.

  • Installing OpenClaw1:26

    Install OpenClaw on Linux using npm with sudo for global install, verify with OpenClaw --version, ignore deprecated warnings, and prepare for onboarding.

  • Onboarding and Basic Setup of OpenClaw6:32

    Onboard OpenClaw by completing the quick-start wizard, connect a back-end model with an API key, and link WhatsApp to enable autonomous messaging via a local gateway.

  • OpenClaw First Demo5:38

    OpenClaw first demo walks through starting a session via SSH, launching the TUI, and configuring a WhatsApp-enabled bot with a memory file and a 9am Lisbon weather greeting.

  • Adding Basic Skills9:20

    Install skills to enable your OpenCLAW agent to perform tasks by downloading and using skills from CLAW Hub, such as 1Password, Apple Notes, GitHub, Google Workspace, and YouTube watcher.

  • Adding Brave Search API for Web Search4:08

    Configure OpenClaw to use Brave Search API for web search and paste an API key. Track costs as queries accrue, noting a free limit and half a cent per query.

  • Updating OpenClaw / Clawdbot0:14
  • UPDATE: Using OpenClaw for Free using Kimi K2.56:56

    Analyze cost implications of tokens and model choice, switching from Sonnet 3.5 to GPT 5.2, and enabling free or cheaper options via OpenCode/OpenRouter, including updating OpenClaw settings.

  • UPDATE: What is a Prompt Injection Attack?8:39

    explain prompt injection, a security flaw where untrusted text is treated as trusted by ai agents. the lecture covers how system prompts, context tokens, and data become instructions, mitigation challenges.

  • UPDATE: Harden SSH on Ubuntu3:42

    OpenCLAW helps secure an Ubuntu SSH setup by recommending disabling passwords, disabling root login, and disabling X11 forwarding, while restricting access to two known users and validating changes.

  • UPDATE: Backup Your Claw to Github9:17

    Back up your OpenClaw data by using Azure VM backups or a private GitHub repository, safeguarding the .OpenClaw files, agents, credentials, memory, and skills.

  • UPDATE: Create Your Own Skills6:55

    Create skills to empower your ai agent with a skill.md, automate backups via cron, and enforce a gitignore protecting credentials and session logs in GitHub.

  • UPDATE: Running a Multi-Agent Setup5:38

    Learn to set up and manage multiple OpenClaw agents on Azure Linux VM by creating identity.md files, profiles, and workspaces, and switching between main and work sessions.

  • UPDATE: Spawning Subagents4:13

    Explore how OpenClaw uses sub-agents to run long tasks in parallel, spawning, steering, and monitoring sub-threads while the main thread remains responsive.

  • UPDATE: How Skills Use Command Line Tools - With GOG7:03

    Install the GOG CLI on an Azure Linux VM and create an OpenClaw gogcli skill to access Google Calendar and email via the command line.

  • OpenClaw Alternatives: TinyClaw, Nanobot, ZeroClaw, IronClaw, PicoClaw, etc.6:52

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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