Private AI Assistant — No Cloud · Live · April 26

Build a Private AI Assistant With No Cloud — Your Data Never Leaves Your Machine

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.

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

Workshop Details

📅
Date and Time
Sunday, April 26, 2026
9:00am to 1:00pm EDT
Duration
4 Hours · Hands-on
💻
Format
Live Online · Interactive
🎓
Includes
Certificate of Completion
🔒
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

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Hands-on — every session involves real code and live building
About This Workshop

Why No-Cloud Is the Only Truly Private AI Assistant

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.

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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

How to Build a Private AI Assistant With No Cloud Dependency

Six modules covering the complete no-cloud private AI assistant stack.

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 Workshop You Will Have

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

Your Instructor

Learn No-Cloud AI From a Docker Captain

Rami Krispin builds and deploys AI systems with no cloud dependency in production.

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 Workshop For?

Developers who want a genuinely private AI assistant with no cloud data exposure.

Frequently Asked Questions

Common Questions About Building a Private AI Assistant With No Cloud

Everything you need to know about private no-cloud AI assistant deployment.

What does no-cloud mean for my AI assistant? +

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.

Is a no-cloud private AI assistant more private than encrypted cloud AI? +

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.

Can my no-cloud private AI assistant work completely offline? +

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.

What happens to my private AI conversations when I delete them? +

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.

Does a no-cloud AI assistant comply with data protection regulations? +

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.

Can I share my no-cloud private AI assistant with my team? +

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.

Private AI Assistant — No Cloud · April 26, 2026

Ready to Build a Private AI Assistant With No Cloud?

4 hours. Live instructor. Fully private no-cloud AI assistant by the end. Seats are limited.

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