Stop watching videos. In this 4-hour live OpenClaw Docker workshop, you will build a fully working private AI assistant — deployed to WhatsApp or Telegram — with zero cloud dependency.
By Packt Publishing · Refunds up to 10 days before event
Most OpenClaw tutorials show you how to install it. This OpenClaw Docker workshop shows you how to actually use it — to build something you can deploy and use every day.
OpenClaw is the open-source personal AI assistant that went viral in early 2026 — 200K+ GitHub stars in weeks. It runs on your own devices and connects to WhatsApp, Telegram, Slack and more. No subscription. No data leaving your machine. This OpenClaw Docker tutorial teaches you how to configure and deploy it properly.
Docker Model Runner is Docker's native feature for running large language models locally. It downloads and runs AI models as containers — giving you full control over which model runs and complete data privacy. In this OpenClaw Docker course you'll learn to connect it as the AI brain powering your assistant.
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 — which is exactly what this OpenClaw Docker workshop teaches you to build.
Setting this up yourself from scattered documentation takes days of debugging. This OpenClaw Docker course gives you a guided build in 4 hours — with a live expert instructor answering your specific questions in real time. Packt has delivered 108+ workshops to thousands of developers 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 in this first module of the OpenClaw Docker tutorial.
Run and manage local LLMs using Docker Model Runner. Pull models, configure memory limits, and understand the OpenAI-compatible API that OpenClaw connects to.
Configure DM pairing, allowlists, sandbox mode, and proper access controls. Learn why running AI locally matters for data privacy and how to secure your setup.
Deploy your private AI assistant to real messaging platforms — without sending a single byte of data to any third party cloud service.
Design an extensible assistant architecture. Add skills, configure personality with SOUL.md, set up proactive automation and scheduled tasks for your OpenClaw instance.
Move beyond local dev. Deploy your OpenClaw and Docker setup to a VPS for always on availability — your private AI assistant running 24/7 with no cloud dependency.
Concrete, working deliverables — not just theory. Everything built live during the session.
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 tutorial is taught by a practitioner, not a YouTuber.
Rami is an experienced AI and data engineering practitioner with deep expertise in building and deploying production AI systems. In this OpenClaw Docker workshop he will guide you step by step — from a blank terminal to a fully deployed private AI assistant — answering your questions live throughout the 4-hour session. Packt Publishing has worked with Rami to deliver hands-on developer education to thousands of engineers worldwide.
You do not need to be an expert. You do need the basics.
Common questions about the OpenClaw Docker tutorial, Docker Model Runner setup, and what to expect on the day.
OpenClaw is an open-source personal AI assistant that went viral in 2026 with 200K+ GitHub stars. It runs on your own devices and connects to messaging apps like WhatsApp and Telegram. When combined with Docker Model Runner, OpenClaw gets a locally running AI brain — meaning all your data stays on your machine with no cloud dependency. This OpenClaw Docker tutorial teaches you how to set up and connect both tools completely from scratch.
No. This OpenClaw Docker workshop is designed for Python developers with basic familiarity with APIs. You do not need prior Docker experience — everything is explained step by step. You will need Docker installed on your laptop and a minimum of 16GB RAM for smooth local AI inference during the session.
Docker Model Runner is Docker's native feature for running large language models locally on your machine. It exposes an OpenAI-compatible API which OpenClaw connects to as its AI brain. Together they let you run a fully private AI assistant with no subscriptions, no cloud costs, and complete control over your data — which is the core skill this OpenClaw Docker course teaches.
Yes. The OpenClaw Docker workshop is fully hands-on. You will write code and run everything live during the 4-hour session. By the end you will have a working private AI assistant deployed to WhatsApp or Telegram. The instructor will guide you through every step and answer questions in real time.
In this OpenClaw Docker tutorial you will specifically learn to connect your private AI assistant to WhatsApp and Telegram. OpenClaw also natively supports Slack, Discord, iMessage, Signal, Google Chat and more — giving you full flexibility to deploy your local AI assistant wherever you already spend your time.
Yes. All sessions are recorded and made available to registered participants. You can rewatch any part of the OpenClaw Docker tutorial at your own pace after the live session ends on April 26.
Free tutorials show isolated steps in isolation. This OpenClaw Docker workshop gives you a complete guided build in 4 hours with a live expert instructor answering your specific questions in real time. You also get a certificate of completion from Packt Publishing — one of the most trusted names in developer education, with over 20 years of helping developers build real skills with 7,500+ books and 108+ workshops delivered worldwide.
4 hours. Live instructor. Working deployment by the end. Seats are limited.
Register for the OpenClaw Docker Workshop →Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing