Running OpenClaw with Docker · Live · April 26

How to Run OpenClaw with Docker — the Complete Step by Step Guide

Running OpenClaw with Docker is the fastest way to get a fully private AI assistant working on your own machine. This live workshop shows you exactly how — step by step, with a live instructor, in 4 hours.

Sunday, April 26 9am to 1pm EDT

4 Hours Hands-on coding

Live Online Interactive

Workshop Details

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Date and Time

Sunday, April 26, 2026

9:00am to 1:00pm EDT

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Duration

4 Hours · Hands-on

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Format

Live Online · Interactive

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Includes

Certificate of Completion

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Privacy

100% Local · No Cloud Required

By Packt Publishing · Refunds up to 10 days before

About This Workshop

Why This Workshop Is the Fastest Way to Run OpenClaw with Docker

Most resources show isolated steps. This live workshop gives you a complete guided build from zero to deployed — with a live expert answering your specific questions throughout.

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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.

Workshop Curriculum

What You Will Learn Running OpenClaw with Docker

Six modules. Four hours. One working private AI assistant by the time you finish.

How OpenClaw Works

Understand the Gateway, channels, and skills architecture. Set up and configure OpenClaw locally from scratch.

Docker Model Runner Setup

Run and manage local LLMs using Docker Model Runner. Pull models, configure memory, understand the OpenAI-compatible API.

Security and Privacy

Configure DM pairing, allowlists, sandbox mode, and proper access controls for your local AI deployment.

Connect to WhatsApp or Telegram

Deploy your AI assistant to real messaging platforms without sending data to any third party cloud service.

Scalable Architecture

Design an extensible assistant architecture. Add skills, configure personality, set up proactive automation.

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 Workshop You Will Have

Concrete working deliverables — not just theory.

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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 From Someone Who Has Actually Shipped This

This workshop is taught by a practitioner, not a YouTuber.

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.

Frequently Asked Questions

Common Questions About Running OpenClaw with Docker

Common questions about the workshop, what to expect, and how to prepare.

What do I need to run OpenClaw with Docker? +

To run OpenClaw with Docker you need Docker Desktop installed, a minimum of 16GB RAM, and basic Python familiarity. This workshop walks you through every other step — including pulling models, configuring OpenClaw, and connecting it to messaging platforms.

How does OpenClaw connect to Docker Model Runner? +

OpenClaw connects to Docker Model Runner through a local OpenAI-compatible API endpoint. In this workshop you will configure this connection step by step so OpenClaw uses your locally running model as its AI brain with no data ever leaving your machine.

Can I run OpenClaw with Docker on Mac or Windows? +

Yes. OpenClaw and Docker Model Runner work on both Mac and Windows. This workshop covers setup for both environments and the instructor helps troubleshoot any platform-specific issues during the live session on April 26.

How long does it take to get OpenClaw running with Docker? +

Following this workshop, you will have OpenClaw running with Docker within the first hour of the 4-hour session. The remaining time covers connecting to WhatsApp or Telegram, security configuration, and production deployment.

Which Docker Model Runner models work best with OpenClaw? +

In this workshop you will learn to pull and test multiple open weight models and select the best one for your hardware. The instructor covers Llama, Mistral, Phi and other popular open weight models during the live session.

Is there a free way to try OpenClaw before the workshop? +

OpenClaw is fully open source and available on GitHub. However, properly connecting OpenClaw with Docker Model Runner and deploying a working assistant is much faster with the guided step by step approach this live workshop provides.