OpenClaw Docker setup is where most developers get stuck. This live workshop removes all the friction — you follow a complete guided setup with a live instructor and leave with a working private AI assistant deployed to WhatsApp or Telegram.
By Packt Publishing · Refunds up to 10 days before
Debugging OpenClaw Docker setup issues from documentation alone takes days. This live workshop covers the correct setup sequence, common errors, and how to fix them — with a live expert answering your questions throughout.
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.
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.
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.
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.
Six modules covering the full OpenClaw Docker setup from installation to production.
Understand the Gateway, channels, and skills architecture. Set up and configure OpenClaw locally from scratch.
Run and manage local LLMs using Docker Model Runner. Pull models, configure memory, and understand the OpenAI-compatible API.
Configure DM pairing, allowlists, sandbox mode, and proper access controls for your local AI deployment.
Deploy your AI assistant to real messaging platforms without sending data to any third party cloud service.
Design an extensible assistant architecture. Add skills, configure personality, and set up proactive automation.
Deploy your OpenClaw and Docker setup to a VPS for always-on availability running 24 hours a day.
A complete working OpenClaw Docker setup — not just the containers running.
A fully functional local AI assistant running on your machine
Docker Model Runner configured with your chosen LLM model
OpenClaw connected to WhatsApp or Telegram
Security and privacy configuration you can trust
A reusable architecture for future AI assistant projects
Certificate of completion from Packt Publishing
A Docker Captain with real production experience — not a documentation reader.
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.
Python developers who want to set up OpenClaw with Docker properly.
Everything you need to know about the setup process and what to expect.
The correct OpenClaw Docker setup sequence is: install Docker Desktop, enable Docker Model Runner, pull your chosen open weight model, configure the local API endpoint, install OpenClaw, configure the Gateway and channels, connect OpenClaw to Docker Model Runner, then integrate with your chosen messaging platform. This workshop walks through every step in the correct order.
This OpenClaw Docker setup requires Docker Desktop with Docker Model Runner support. The instructor covers which version to install and how to enable the Model Runner feature during the live setup session.
The most common OpenClaw Docker setup issues are incorrect API endpoint configuration, Docker network isolation preventing OpenClaw from reaching Model Runner, insufficient RAM allocation, and port conflicts. This workshop covers all of these and how to fix them during the live session.
The workshop covers the recommended OpenClaw Docker setup approach using Docker Model Runner directly. The instructor also discusses Docker Compose options for more complex setups and production deployment configurations.
A minimum of 16GB RAM is recommended for a smooth OpenClaw Docker setup with an open weight model. The instructor guides you through selecting the right model size for your specific hardware during the live session.
Yes. The workshop is specifically designed for laptop setups. You do not need a server or powerful desktop machine to complete the OpenClaw Docker setup. The instructor covers model selection appropriate for laptop hardware.
4 hours. Live instructor. Complete Docker setup by the end. Seats are limited.
Register Now →Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing