Personal AI Assistant Online Course · Live · April 26

The Online Course to Build a Personal AI Assistant That Actually Works

Most online courses give you theory and pre-recorded videos. This live course ends with a working private AI assistant deployed to WhatsApp or Telegram — built from scratch in 4 hours with a real instructor.

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

Why This Live Course Is Better Than Any Pre-Recorded Course

Most resources show isolated steps. This live workshop gives you a complete guided build from zero to deployed — with a live expert answering your specific questions throughout.

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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 You Will Build in This Personal AI Assistant Course

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, 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, 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 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 From Someone Who Has Actually Shipped This

This workshop is taught by a practitioner, not a YouTuber.

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

Everything You Need to Know About This Course

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

Is this an online course I can take at my own pace? +

This is a live online course running on April 26, 2026 from 9am to 1pm EDT. You build alongside the instructor in real time. A full recording is shared with all registered participants after the session so you can rewatch at your own pace.

What will I build in this personal AI assistant online course? +

You will build a fully private personal AI assistant using OpenClaw and Docker Model Runner. By the end of this online course your assistant will be running locally on your machine, connected to WhatsApp or Telegram, with no cloud dependency and no ongoing subscription costs.

How is this live course different from a pre-recorded personal AI assistant course? +

Pre-recorded courses cannot answer your specific questions. In this live course you interact with the instructor in real time, get help with your specific setup, and troubleshoot issues as they come up — making the learning significantly more effective.

Do I need to pay for any AI APIs to take this personal AI assistant course? +

No. This course uses OpenClaw with Docker Model Runner which runs open weight LLMs entirely on your own machine. There are no API costs, no cloud subscriptions, and no ongoing fees after the course.

What technical level is this personal AI assistant online course aimed at? +

This course is designed for developers with basic Python and API familiarity. You do not need prior experience with Docker, OpenClaw, or LLMs. The instructor builds everything from scratch during the live session.

Will I get a certificate when I complete this personal 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 helping developers build real skills.