OpenClaw and Docker Model Runner Setup · Live · April 26

How to Set Up OpenClaw with Docker Model Runner — the Right Way

The OpenClaw documentation can take days to navigate. This live workshop gives you the complete setup — OpenClaw configured, Docker Model Runner running, and your private AI assistant connected to WhatsApp or Telegram — 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 Set Up OpenClaw with Docker Model Runner

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 Set Up and Build Step by Step

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 Setting Up OpenClaw with Docker Model Runner

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

What is the correct order to set up OpenClaw with Docker Model Runner? +

The correct setup order is: install Docker Desktop, pull your chosen open weight model using Docker Model Runner, configure the OpenAI-compatible API endpoint, install and configure OpenClaw, connect OpenClaw to Docker Model Runner, then configure your messaging platform integration. This workshop walks through each step in the correct order.

What are the most common errors when setting up OpenClaw with Docker Model Runner? +

The most common setup errors are misconfigured API endpoints, insufficient RAM allocation for the model, incorrect Docker network settings, and OpenClaw gateway configuration issues. This workshop covers how to avoid and fix all of these during the live session.

How much RAM do I need to set up OpenClaw with Docker Model Runner? +

A minimum of 16GB RAM is recommended. The instructor will guide you through selecting a model appropriate for your specific hardware during the live workshop.

Can I set up OpenClaw with Docker Model Runner without prior Docker experience? +

Yes. This workshop is designed for Python developers without prior Docker experience. The instructor covers everything from installing Docker to configuring Docker Model Runner and connecting it to OpenClaw step by step.

How do I connect OpenClaw to WhatsApp after setting up Docker Model Runner? +

After the setup you configure a WhatsApp channel integration within OpenClaw. This workshop includes a dedicated module on connecting your assistant to WhatsApp and Telegram with proper security and privacy settings.

Will the complete setup be covered in 4 hours? +

Yes. This workshop is specifically designed to take you from zero to a fully deployed OpenClaw and Docker Model Runner setup in 4 hours — including full setup, messaging platform connection, security configuration, and production deployment.