OpenClaw Docker Tutorial · Live Workshop · April 26

The OpenClaw Docker Tutorial That Actually Builds Something Real

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.

Sunday, April 26  ·  9am to 1pm EDT
4 Hours  ·  Hands-on coding
Live Online  ·  Interactive

Workshop Details

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Date & Time
Sunday, April 26, 2026
9:00am – 1:00pm EDT
⏱️
Duration
4 Hours · Hands-on
💻
Format
Live Online · Interactive
🎓
Includes
Certificate of Completion
🔒
Privacy
100% Local · No Cloud Required
Register for the Workshop →

By Packt Publishing · Refunds up to 10 days before event

OpenClaw — 200K+ GitHub Stars
4 Hours Live Hands-On Coding
✦ By Packt Publishing
No Cloud Dependency Required
Certificate of Completion
Why Trust Packt

Over 20 years of helping developers build real skills

7,500+
Books and video courses published for developers worldwide
108
Live workshops and events hosted on Eventbrite
200K+
GitHub stars for OpenClaw — the tool you'll master in this workshop
100%
Hands-on — every session involves real code and live building
About This OpenClaw Docker Tutorial

Why this OpenClaw Docker course is different

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.

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What is OpenClaw?

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.

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What is Docker Model Runner?

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.

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Why combine OpenClaw + 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 — which is exactly what this OpenClaw Docker workshop teaches you to build.

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Why take this as a workshop?

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.

OpenClaw Docker Workshop Curriculum

What you'll learn in this OpenClaw Docker tutorial

Six modules. Four hours. One working private AI assistant by the time you finish.

01

How OpenClaw Works

Understand the Gateway, channels, and skills architecture. Set up and configure OpenClaw locally from scratch in this first module of the OpenClaw Docker tutorial.

02

Docker Model Runner Setup

Run and manage local LLMs using Docker Model Runner. Pull models, configure memory limits, and understand the OpenAI-compatible API that OpenClaw connects to.

03

Security & Privacy Best Practices

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.

04

Connect to WhatsApp or Telegram

Deploy your private AI assistant to real messaging platforms — without sending a single byte of data to any third party cloud service.

05

Scalable Architecture Design

Design an extensible assistant architecture. Add skills, configure personality with SOUL.md, set up proactive automation and scheduled tasks for your OpenClaw instance.

06

Production Deployment

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.

What You Walk Away With

By the end of this OpenClaw Docker workshop you will have

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

Your Instructor

Learn from someone who has actually shipped this

This OpenClaw Docker tutorial is taught by a practitioner, not a YouTuber.

Rami Krispin

Rami Krispin

Workshop Instructor, April 26, 2026

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.

Prerequisites

Who is this OpenClaw Docker course for?

You do not need to be an expert. You do need the basics.

Frequently Asked Questions

Everything you need to know about this OpenClaw Docker workshop

Common questions about the OpenClaw Docker tutorial, Docker Model Runner setup, and what to expect on the day.

What is OpenClaw and how does it work with Docker? +

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.

Do I need prior Docker experience for this OpenClaw Docker course? +

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.

What is Docker Model Runner and why use it with OpenClaw? +

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.

Will I be able to run everything live during the OpenClaw Docker workshop? +

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.

What messaging platforms can I connect my AI assistant to? +

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.

Will the OpenClaw Docker workshop be recorded? +

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.

How is this OpenClaw Docker course different from free YouTube tutorials? +

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.

OpenClaw Docker Workshop · April 26, 2026

Ready to build your own private AI assistant?

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