This is the OpenClaw setup guide that goes beyond documentation. A live workshop where you configure OpenClaw from scratch, connect it to Docker Model Runner, and deploy a working private AI assistant to WhatsApp or Telegram in 4 hours.
By Packt Publishing · Refunds up to 10 days before
Documentation tells you what to do. This live OpenClaw setup guide shows you how — with a real instructor answering your specific questions and helping you troubleshoot in real time.
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. Four hours. A fully working OpenClaw assistant by the end.
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.
Everything set up, configured, and deployed — ready to use.
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
Not a YouTuber. Not a documentation writer. A developer who has built and deployed this.
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.
You do not need to be an expert. You do need the basics.
Everything you need to know before attending this live OpenClaw setup guide session.
The official OpenClaw documentation covers installation steps. This live OpenClaw setup guide covers the complete end-to-end journey — from installation through Docker Model Runner configuration, messaging platform integration, security setup, and production deployment — with a live instructor answering your specific questions.
Yes. Docker Model Runner configuration is a core part of this OpenClaw setup guide. You will learn to pull models, set memory limits, configure the OpenAI-compatible API endpoint, and connect it to OpenClaw as the local AI backend.
Yes. Unlike a written guide, this live session lets you ask the instructor questions in real time when you get stuck. The instructor has seen the most common OpenClaw setup issues and will help you troubleshoot and resolve them during the live session.
Install Docker Desktop on your laptop before the session. Everything else in this OpenClaw setup guide is covered live by the instructor starting from the OpenClaw installation itself.
Yes. Security is module three of this OpenClaw setup guide. You will configure DM pairing, allowlists, sandbox mode, and proper access controls to ensure your private AI assistant is secure before you connect it to any messaging platform.
Yes. All registered participants receive a full recording of the OpenClaw setup guide session after April 26 so you can rewatch any part of the configuration process at your own pace.
4 hours. Live instructor. Fully configured OpenClaw assistant by the end. Seats are limited.
Register Now →Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing