OpenClaw Docker Course — Build a Private AI Assistant Live April 26, 2026

openclaw docker course · Live · April 26

The OpenClaw Docker Course Built Around Actually Shipping Something

Most AI courses end with theory. This OpenClaw Docker course ends with a working private AI assistant deployed to WhatsApp or Telegram — built live, from scratch, 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 Docker Course

Why This OpenClaw Docker Course is Different From Everything Else

Most tutorials show you isolated steps. This openclaw docker course gives you a complete guided build with a live expert answering your specific questions throughout.

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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 this as a live workshop?

Setting this up from scattered documentation takes days of debugging. This openclaw docker course gives you a complete guided build in 4 hours with a live instructor answering your questions. Packt has delivered 108 workshops worldwide.

Workshop Curriculum

What You Will Build in This OpenClaw Docker Course

Six modules. Four hours. One working private AI 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, 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, 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 Docker Course You Will Have

Concrete working deliverables — not just theory.

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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 from someone who has actually shipped this

This OpenClaw Docker Course 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. In this OpenClaw Docker Course 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.

Prerequisites

Who is This OpenClaw Docker Course For?

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

→ Basic familiarity with Python and APIs
→ A laptop with Docker installed (or willing to install before the session)
→ Minimum 16GB RAM recommended for smooth local AI inference
→ Optional: prior experience with LLMs or agent frameworks — helpful but not required

Frequently Asked Questions

Everything You Need to Know About This OpenClaw Docker Course

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

What does this OpenClaw Docker course cover? +

This OpenClaw Docker course covers how OpenClaw works, setting it up locally, running LLMs with Docker Model Runner, security and privacy configuration, connecting to WhatsApp and Telegram, and deploying to a VPS for 24/7 availability.

Is this OpenClaw Docker course a recorded course or live? +

This is a fully live OpenClaw Docker course delivered on April 26, 2026. You interact with the instructor in real time, ask questions, and build alongside other developers. A recording is also shared with all participants after the session.

How long is this OpenClaw Docker course? +

This OpenClaw Docker course runs for 4 hours on Sunday April 26, 2026 from 9am to 1pm EDT. It is intensive and hands-on throughout — you will be writing code and running commands the entire time.

What do I need before taking this OpenClaw Docker course? +

Basic Python and API familiarity, Docker installed on your laptop, and a minimum of 16GB RAM. No prior OpenClaw or Docker AI experience is required to take this course.

Will I get a certificate for this OpenClaw Docker course? +

Yes. All participants who attend this OpenClaw Docker course receive a certificate of completion from Packt Publishing — one of the most trusted names in developer education.

Can I get a refund if I cannot attend the OpenClaw Docker course? +

Yes. Refunds are available up to 10 days before the event through Eventbrite.