Every cloud AI service sends your conversations to external servers. This live workshop shows you how to build a private AI assistant with no cloud dependency whatsoever — using OpenClaw and Docker Model Runner, running entirely on your own hardware.
By Packt Publishing · Refunds up to 10 days before
Cloud-based AI assistants are convenient but fundamentally insecure for private conversations. A no-cloud setup using OpenClaw and Docker Model Runner means your AI model, your conversations, and your data never leave your device.
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 covering the complete no-cloud private AI assistant stack.
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 private AI assistant with zero cloud dependency — fully yours, fully private.
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 builds and deploys AI systems with no cloud dependency in production.
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 genuinely private AI assistant with no cloud data exposure.
Everything you need to know about private no-cloud AI assistant deployment.
No-cloud means every component of your AI assistant runs on hardware you own or control. The LLM inference happens on your machine via Docker Model Runner. OpenClaw runs locally. Your conversations never travel to any external AI provider's servers. The only network usage is for messaging delivery through WhatsApp or Telegram — the AI processing itself is entirely local.
Yes. Even encrypted cloud AI means your plaintext conversations are processed on someone else's servers before encryption applies. With a no-cloud setup, your conversations are never decrypted on any external server — they are processed entirely on your own machine. This is a fundamentally stronger privacy model.
The AI inference works completely offline — Docker Model Runner processes your messages locally with no internet connection needed. Messaging integrations like WhatsApp and Telegram require internet for message delivery, but the AI processing that generates responses is entirely offline and local.
Because your private AI assistant runs locally with no cloud dependency, your conversations exist only on your own machine. Deleting them means they are gone — there is no cloud backup, no server-side storage, and no third party who retains your conversation history. This is a significant privacy advantage over cloud AI services.
A no-cloud AI assistant where all processing happens on your own hardware typically has simpler data protection compliance than cloud AI — since data never leaves your infrastructure. The instructor can discuss the general considerations during the workshop, though specific regulatory guidance should come from a legal professional familiar with your jurisdiction.
Yes. Your OpenClaw setup supports multiple authorised users through its allowlist system. If deployed to a VPS, multiple team members can use the private AI assistant through WhatsApp or Telegram while all AI processing still happens on your controlled infrastructure with no external cloud AI dependency.
4 hours. Live instructor. Fully private no-cloud AI assistant by the end. Seats are limited.
Register Now →Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing