Self-Hosted AI Assistant Course · Live · April 26

The Self-Hosted AI Assistant Course That Ends With a Working Deployment

Most self-hosted AI assistant courses end when the software is installed. This live course ends when your private AI assistant is deployed, secured, and responding in WhatsApp or Telegram — built hands-on in 4 hours with a live instructor.

Sunday, April 26   9am to 1pm EDT
4 Hours   Hands-on coding
Live Online   Interactive
Register Now → See what you will build ↓

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
Register on Eventbrite →

By Packt Publishing · Refunds up to 10 days before

✦ 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 will master
100%
Hands-on — every session involves real code and live building
About This Workshop

Why This Self-Hosted AI Assistant Course Goes All the Way to Production

Installation is easy. Deployment is where most people get stuck. This course covers the complete journey — from first install to a production-ready self-hosted AI assistant with messaging integration, security configuration, and VPS 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.

Workshop Curriculum

What This Self-Hosted AI Assistant Course Covers

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.

02

Docker Model Runner Setup

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

03

Security and Privacy

Configure DM pairing, allowlists, sandbox mode, and proper access controls for your local AI deployment.

04

Connect to WhatsApp or Telegram

Deploy your AI assistant to real messaging platforms without sending data to any third party cloud service.

05

Scalable Architecture

Design an extensible assistant architecture. Add skills, configure personality, and set up proactive automation.

06

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 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 Self-Hosted AI From a Docker Captain Who Deploys in Production

Rami Krispin deploys self-hosted AI systems in production — not just for demos.

Rami Krispin

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.

Prerequisites

Who Is This Self-Hosted AI Assistant Course For?

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

Frequently Asked Questions

Common Questions About This Self-Hosted AI Assistant Course

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

How is this self-hosted AI assistant course different from watching YouTube tutorials? +

YouTube tutorials cover isolated steps without context. This live course gives you the complete self-hosted AI assistant setup in the correct sequence with a live instructor who answers your specific questions, troubleshoots your specific errors, and ensures you finish with a working deployment — not just knowledge of individual steps.

What self-hosting infrastructure does this course use? +

The course starts with your laptop as the hosting environment and finishes with optional VPS deployment for always-on availability. You learn to self-host using Docker Model Runner for AI inference and OpenClaw as the assistant framework — a stack that works on any hardware you control.

Will I have a production-ready self-hosted AI assistant by the end of this course? +

Yes. By the end of this 4-hour live course you will have a self-hosted AI assistant that is configured, secured, connected to WhatsApp or Telegram, and optionally deployed to a VPS for always-on availability. This is a production-ready setup, not a development prototype.

What self-hosted AI assistant maintenance does this course cover? +

The course covers how to update OpenClaw and Docker Model Runner, how to monitor your self-hosted assistant, how to handle messaging platform reconnection issues, and how to upgrade your AI model when better versions become available. You leave with a complete maintenance plan.

Can I take this self-hosted AI assistant course if I have tried before and got stuck? +

Yes. The most common places developers get stuck when self-hosting an AI assistant are Docker Model Runner configuration, OpenClaw Gateway setup, and messaging platform authentication. This course addresses all of these with live instructor support — making it ideal for anyone who has attempted the setup before without success.

Is a certificate provided for completing this self-hosted AI assistant course? +

Yes. All participants receive a certificate of completion from Packt Publishing — one of the most trusted names in developer education with over 20 years of experience and 7,500+ published courses and books.

Self-Hosted AI Assistant Course · April 26, 2026

Ready to Take the Most Practical Self-Hosted AI Assistant Course?

4 hours. Live instructor. Production-ready self-hosted AI assistant by the end. Seats are limited.

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Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing