Always-On AI Assistant — No Cloud · Live · April 26

Build an Always-On AI Assistant With No Cloud — Private, 24/7, Yours

Always-on and no cloud are not contradictory — they are the combination that defines the best private AI assistant setup in 2026. This live workshop shows you how to build an AI assistant that runs 24/7 on your own infrastructure with zero cloud AI dependency.

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 Workshop

How to Achieve Always-On Availability Without Any Cloud Dependency

Always-on without cloud means running your AI assistant on hardware you control — a VPS, homelab server, or dedicated mini PC. OpenClaw and Docker Model Runner make this practical and reliable. This workshop shows you the complete no-cloud always-on architecture.

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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

Building an Always-On AI Assistant With No Cloud Dependency

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, and 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, and 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 Workshop 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 Always-On No-Cloud AI From a Docker Captain

Rami Krispin deploys always-on AI assistants with zero cloud dependency in production.

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.

Frequently Asked Questions

Common Questions About Always-On AI Assistants With No Cloud

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

Can an AI assistant really be always-on with no cloud dependency? +

Yes. Always-on with no cloud dependency means deploying your OpenClaw and Docker Model Runner setup on hardware you own or rent (VPS) rather than a cloud AI service. Your AI model runs on your infrastructure continuously — available 24/7 with no data ever going to an external AI provider.

What is the difference between always-on and a cloud AI service? +

Always-on means your AI assistant responds 24/7. A cloud AI service also responds 24/7. The critical difference is where the AI inference happens. Cloud AI services process your data on their servers. Your always-on no-cloud setup processes everything on your VPS or homelab — keeping all conversation data on infrastructure you control.

How reliable is an always-on AI assistant with no cloud for messaging? +

WhatsApp and Telegram connections can occasionally drop and require reconnection. The workshop covers configuring OpenClaw for automatic reconnection handling so your always-on assistant recovers from connection drops without manual intervention. With proper configuration, uptime is typically above 98%.

What is the cost comparison between always-on no-cloud and cloud AI subscriptions? +

An always-on no-cloud AI assistant on a $20 to $40 per month VPS costs about the same as a single ChatGPT Plus subscription — but gives you unlimited usage, complete privacy, native WhatsApp integration, and no data sent to any AI provider.

Can I have multiple always-on AI assistants with no cloud on the same VPS? +

Yes, with adequate RAM. Running two OpenClaw instances with different model configurations on a 32GB RAM VPS is feasible. The instructor covers multi-instance configuration for developers who want separate always-on AI assistants for different purposes.

What happens to my always-on AI assistant if my VPS provider has an outage? +

VPS outages are typically brief and rare. The instructor covers provider selection and how to configure automatic restart so your always-on AI assistant recovers immediately when the VPS comes back online.