Docker Model Runner lets you run powerful open weight LLMs locally. OpenClaw connects them to the apps you already use. This workshop teaches you to combine both into a private AI assistant you fully own.
By Packt Publishing · Refunds up to 10 days before
Most tutorials show you isolated steps. This openclaw docker model runner workshop gives you a complete guided build with a live expert answering your specific 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 openclaw docker model runner 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. Four hours. One working private AI assistant by the time you finish.
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, 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, set up proactive automation.
Deploy your OpenClaw and Docker setup to a VPS for always-on availability running 24 hours a day.
Concrete working deliverables — not just theory.
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
This OpenClaw Docker Model Runner Workshop is taught by a practitioner, not a YouTuber.
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. In this OpenClaw Docker Model Runner Workshop 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.
You do not need to be an expert. You do need the basics.
Common questions about the workshop, what to expect, and how to prepare.
Docker Model Runner is Docker's native feature for running large language models locally on your machine. It gives you an OpenAI-compatible API so OpenClaw can use it as its AI brain. This OpenClaw Docker Model Runner workshop teaches you to set up and connect both tools from scratch.
No. This OpenClaw Docker Model Runner workshop is designed for Python developers without prior Docker experience. The instructor will guide you through everything step by step during the live session.
In this OpenClaw Docker Model Runner workshop you will learn to pull and run open weight models such as Llama, Mistral, Phi and others. The instructor will guide you through selecting the right model for your machine's specs.
OpenClaw connects to Docker Model Runner through an OpenAI-compatible local API. In this workshop you will configure this connection step by step so your OpenClaw assistant uses your locally running LLM as its brain — with no data ever leaving your machine.
Yes. The workshop includes a module on deploying your OpenClaw and Docker Model Runner setup to a VPS server for always-on availability — so your AI assistant runs 24/7 without needing your laptop to be on.
Yes. All registered participants receive access to the full recording after the live session on April 26, 2026.
4 hours. Live instructor. Working deployment by the end. Seats are limited.
Register Now →Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing