Most AI workshops are 80% slides and 20% code. This hands-on AI assistant workshop is the opposite — you are writing code and configuring your own private AI assistant from the first minute to the last. A working deployment by the end. Guaranteed.
By Packt Publishing · Refunds up to 10 days before
Hands-on means different things to different workshops. In this session it means you spend the entire 4 hours building — OpenClaw setup, Docker Model Runner configuration, messaging integration, security, and deployment. No slide decks. No recorded demos.
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 hands-on modules. Every minute of every module involves real code and real configuration.
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 working private AI assistant — built entirely by your own hands.
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 codes alongside you — demonstrating every step live and answering questions in real time.
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 are tired of passive learning and want to build something real.
Everything you need to know before attending this live hands-on session.
This workshop is 100% hands-on from start to finish. You open your terminal in the first minute and close it with a deployed private AI assistant in the last. There are no pre-recorded demos, no lengthy slide presentations, and no passive listening sections. The instructor builds alongside you demonstrating every command and configuration in real time.
You need a laptop with Docker installed, a minimum of 16GB RAM, and basic Python familiarity. The instructor will cover the rest live during the session. Having a text editor and terminal ready before the session starts means you can begin building immediately.
The instructor paces the session to ensure everyone can follow. If you fall behind, you can catch up during brief consolidation points between modules. All participants also receive a full recording after the session so you can rewatch and complete any steps you missed.
This workshop requires basic Python and API familiarity. Complete beginners to programming will likely struggle to keep up. Developers who have built at least one Python project — even a simple one — will find the workshop accessible and the instructor supportive.
Packt keeps workshop sizes small enough for the instructor to answer individual questions in real time. This is not a lecture to hundreds of people — it is a practical session where your specific questions get answered and your specific setup issues get resolved.
Yes. All participants who attend this hands-on AI assistant workshop receive a certificate of completion from Packt Publishing — one of the most trusted names in developer education with over 20 years of experience.
4 hours. Live instructor. Working AI assistant built entirely by you. Seats are limited.
Register Now →Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing