The OpenClaw Installation Tutorial That Ends With a Working Assistant
Most OpenClaw installation tutorials end when the software is running. This one ends when your private AI assistant is live in WhatsApp or Telegram — fully installed, configured, and deployed in 4 hours.
By Packt Publishing · Refunds up to 10 days before
✖ OpenClaw — 200K+ GitHub Stars
✖ 4 Hours Live Hands-On Coding
✖ By Packt Publishing
✖ No Cloud Dependency Required
✖ Certificate of Completion
Why Trust Packt
Over 20 Years of Helping Developers Build Real Skills
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Live workshops and events hosted on Eventbrite
200K+
GitHub stars for OpenClaw — the tool you will master in this workshop
100%
Hands-on — every session involves real code and live building
About This OpenClaw Installation Tutorial
Why This OpenClaw Installation Tutorial Goes Beyond Just Installing
Installing OpenClaw is only the first step. This live tutorial covers the full journey — installation, Docker Model Runner setup, security configuration, messaging platform integration, and production deployment.
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What is OpenClaw?
OpenClaw is the open-source personal AI assistant that went viral in early 2026 with 200K+ GitHub stars. It runs on your own devices and connects to WhatsApp, Telegram, Slack and more. No subscription. No data leaving your machine.
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What is Docker Model Runner?
Docker Model Runner is Docker's native feature for running large language models locally on your machine. It gives you an OpenAI-compatible API that OpenClaw uses as its AI brain — complete data privacy, no cloud costs.
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Why Combine OpenClaw and Docker?
OpenClaw gives you the assistant interface and messaging integrations. Docker Model Runner gives you the AI brain running privately on your machine. Together they create a production grade private AI assistant you fully own.
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Why Attend as a Live Workshop?
Setting this up from scattered documentation takes days of debugging. This live workshop gives you a complete guided build in 4 hours with a live instructor answering your questions. Packt has delivered 108 workshops worldwide.
OpenClaw Installation Tutorial Curriculum
What This OpenClaw Installation Tutorial Covers
Six modules. From first install to fully deployed private AI assistant.
01
How OpenClaw Works
Understand the Gateway, channels, and skills architecture. Set up and configure OpenClaw locally from scratch.
02
Docker Model Runner Setup
Run and manage local LLMs using Docker Model Runner. Pull models, configure memory, and understand the OpenAI-compatible API.
03
Security and Privacy
Configure DM pairing, allowlists, sandbox mode, and proper access controls for your local AI deployment.
04
Connect to WhatsApp or Telegram
Deploy your AI assistant to real messaging platforms without sending data to any third party cloud service.
05
Scalable Architecture
Design an extensible assistant architecture. Add skills, configure personality, and set up proactive automation.
06
Production Deployment
Deploy your OpenClaw and Docker setup to a VPS for always-on availability running 24 hours a day.
What You Walk Away With
By the End of This OpenClaw Installation Tutorial You Will Have
A fully installed, configured, and deployed private AI assistant.
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A fully functional local AI assistant running on your machine
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Docker Model Runner configured with your chosen LLM model
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OpenClaw connected to WhatsApp or Telegram
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Security and privacy configuration you can trust
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A reusable architecture for future AI assistant projects
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Certificate of completion from Packt Publishing
Your Instructor
Learn the OpenClaw Installation From a Real Practitioner
Not documentation. Not YouTube. A live expert who has done this in production.
Rami Krispin
Workshop Instructor · April 26, 2026
Rami is a Senior Manager of Data Science and Engineering, Docker Captain, and LinkedIn Learning Instructor with deep expertise in building and deploying production AI systems. He guides you step by step from a blank terminal to a fully deployed private AI assistant — answering your questions live throughout the 4-hour session.
Prerequisites
Who Is This OpenClaw Installation Tutorial For?
You do not need to be an expert. You do need the basics.
→ Basic familiarity with Python and APIs
→ A laptop with Docker installed (or willing to install before the session)
→ Minimum 16GB RAM recommended for smooth local AI inference
→ Optional: prior experience with LLMs or agent frameworks — helpful but not required
Frequently Asked Questions
Common Questions About This OpenClaw Installation Tutorial
Everything you need to know about the installation process and what to expect.
What are the steps in this OpenClaw installation tutorial? +
This OpenClaw installation tutorial covers: cloning the OpenClaw repository, installing dependencies, configuring the Gateway, setting up Docker Model Runner as the AI backend, configuring security and allowlists, connecting to WhatsApp or Telegram, and deploying to a VPS for always-on availability.
What operating systems does this OpenClaw installation tutorial support? +
This tutorial covers OpenClaw installation on Mac and Windows. The instructor helps troubleshoot any operating system-specific issues that come up during the live session on April 26.
What are the most common OpenClaw installation errors? +
The most common installation errors are dependency conflicts, misconfigured Gateway ports, Docker networking issues when connecting to Docker Model Runner, and messaging platform authentication failures. This tutorial covers how to avoid and fix all of these during the live session.
Do I need a paid API key to complete this OpenClaw installation tutorial? +
No. This installation tutorial uses Docker Model Runner to run an open weight LLM locally on your machine. There are no paid API keys required, no cloud subscriptions, and no ongoing costs after you complete the installation.
How long does the OpenClaw installation itself take in this tutorial? +
The OpenClaw installation is covered in the first module of this tutorial — typically taking around 30 minutes. The remaining 3 and a half hours cover Docker Model Runner setup, security configuration, messaging platform connection, and production deployment.
Is this OpenClaw installation tutorial recorded? +
Yes. All registered participants receive a full recording of the OpenClaw installation tutorial after the live session so you can rewatch any step of the installation and configuration process at your own pace.
OpenClaw Installation Tutorial · April 26, 2026
Ready to Install OpenClaw and Deploy a Private AI Assistant?
4 hours. Live instructor. Fully installed and deployed by the end. Seats are limited.
