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Installing OpenClaw (formerly Clawdbot) On Azure Linux VM (Udemy.com)

Deploy OpenClaw on Azure Linux VM and run your autonomous AI assistant securely

4.3

230 reviews

Created by: Scott Duffy

Last updated February 2026

What you will learn

Deploy an Azure Linux Virtual Machine
Install and Configure OpenClaw
Secure Your OpenClaw Deployment
Connect and Use OpenClaw with Real Tools

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

Rating4.3 out of 5higher than 20% of them
Reviews230#789 of 1,183 by number of reviews
Length1.9 hoursshorter than 85% of them
Last updatedFebruary 2026more recently than 68% of them

Course 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.

All Levels

Time: 1.9h

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Instructor Details

Scott Duffy

4.3 Rating
230 Reviews

Hi there, my name is Scott Duffy. And I love making complex technical topics easy to understand.

This has been the basis of my entire career – as a developer, as a development manager, as a software architect – over the past 20 years. I spend half my time in the world of business, explaining complex technical topics to business owners and stakeholders so that they can understand and agree with my approach to solving their business problems with technical solutions. And the other half with developers, explaining the business reasons behind decisions and ensuring that any decisions made on the technical side don't restrict the business in unexpected ways.

And I'm here on Udemy to teach what I know in an approachable way. I started teaching courses in 2014, and have taught over 1,600,000 students. I am grateful every day for being able to connect with so many students in almost every country around the world.

I'm a certified Enterprise Architect and certified cloud architect. I have been developing with Microsoft technologies for 20 years, starting with Classic ASP, and all the versions of .NET. We now live in the cloud era, with Microsoft Azure being prevalent in most large enterprises. I'm certified as an Azure Architect and Developer too. As well as AWS Solution Architect Associate (SAA).

Microsoft MVP Award winner for 2022-2025.