OpenClaw Setup Tutorial · Live · April 26

The OpenClaw Setup Tutorial That Actually Gets You to a Working Assistant

Most OpenClaw setup tutorials stop at installation. This live workshop goes all the way — from zero to a fully configured private AI assistant connected to WhatsApp or Telegram, running on your own machine, 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 OpenClaw Setup Tutorial

Why This OpenClaw Setup Tutorial Goes Further Than the Docs

The OpenClaw documentation covers the basics. This live tutorial covers the complete setup — Gateway configuration, Docker Model Runner connection, messaging platform integration, security, and production deployment.

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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.

OpenClaw Setup Tutorial Curriculum

What This OpenClaw Setup Tutorial Covers Step by Step

Six modules. Four hours. A fully configured OpenClaw 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, and 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, and 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 OpenClaw Setup Tutorial You Will Have

A fully working setup — not just OpenClaw installed.

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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 the OpenClaw Setup From Someone Who Has Done It

This OpenClaw setup tutorial 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 This OpenClaw Setup Tutorial

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

What does this OpenClaw setup tutorial cover? +

This OpenClaw setup tutorial covers the full setup from scratch — installing OpenClaw, configuring the Gateway, connecting Docker Model Runner as the AI backend, setting up security and allowlists, integrating with WhatsApp or Telegram, and deploying to a VPS for always-on availability.

How long does a complete OpenClaw setup take? +

Following this live OpenClaw setup tutorial, you will have a fully working OpenClaw assistant configured and connected to a messaging platform within 4 hours. Without a guided tutorial, the same setup can take days of debugging scattered documentation.

What are the most common problems in the OpenClaw setup process? +

The most common OpenClaw setup issues are misconfigured Gateway settings, incorrect Docker Model Runner API endpoint configuration, insufficient RAM for the chosen model, and messaging platform authentication errors. This tutorial covers how to avoid and fix all of these.

Do I need Docker experience for this OpenClaw setup tutorial? +

No. This OpenClaw setup tutorial is designed for Python developers without prior Docker experience. The instructor covers Docker Model Runner setup from scratch as part of the complete OpenClaw configuration process.

Will this OpenClaw setup tutorial cover Windows and Mac? +

Yes. The instructor covers OpenClaw setup on both Mac and Windows during the live session and helps troubleshoot any platform-specific issues that come up during the tutorial.

Is the OpenClaw setup tutorial recorded? +

Yes. All registered participants receive a full recording of the OpenClaw setup tutorial after the live session on April 26 so you can rewatch any step at your own pace.