A self-hosted ChatGPT alternative gives you everything cloud AI does not — complete data privacy, zero subscription cost, and full control over your AI infrastructure. This live workshop shows you how to build one from scratch in 4 hours.
By Packt Publishing · Refunds up to 10 days before
Privacy, cost, and control are the three reasons developers build self-hosted ChatGPT alternatives. OpenClaw and Docker Model Runner in 2026 make achieving all three straightforward — this workshop shows you the complete path.
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. A complete self-hosted ChatGPT alternative from scratch.
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.
A fully self-hosted ChatGPT alternative ready for daily 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
Rami Krispin has production experience building self-hosted AI systems with Docker.
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.
Developers who want a self-hosted private AI system they fully control.
Everything you need to know before building your self-hosted alternative.
Ollama and similar tools give you a model running locally but no assistant layer — just API access to the model. This workshop builds a complete self-hosted ChatGPT alternative using OpenClaw as the assistant layer on top of Docker Model Runner. You get conversations in WhatsApp or Telegram, skills, automation, multi-user access, and a production-ready deployment.
The architecture covered in this workshop is: Docker Model Runner for local LLM inference, OpenClaw as the assistant and messaging layer, and a VPS for always-on deployment. This combination gives you a production-grade self-hosted ChatGPT alternative with proper security, extensibility, and reliability.
Minimal maintenance is required. You may want to update to newer models periodically as they become available. OpenClaw and Docker updates are infrequent and straightforward. The instructor covers the maintenance considerations during the live session.
Yes. OpenClaw's allowlist system lets you authorise multiple users to interact with your self-hosted assistant through WhatsApp or Telegram. The instructor covers multi-user configuration and how to manage access during the workshop.
A VPS is not required to get started — you can run the complete self-hosted setup on your laptop during this workshop. The final module covers VPS deployment for always-on availability. A VPS gives you 24/7 access without needing your laptop to remain on.
A VPS with 16GB RAM and 4 CPU cores is recommended for a comfortable self-hosted experience. The instructor covers VPS provider selection and configuration during the production deployment module of this workshop.
4 hours. Live instructor. Self-hosted alternative working by the end. Seats are limited.
Register Now →Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing