Skip to content
WorkshopOnlinePast event

Build, Run and Deploy AI Agents with OpenClaw & Docker Model Runner

Event artwork for Build, Run and Deploy AI Agents with OpenClaw & Docker Model Runner

This event has ended

This listing is kept as an archive. Explore upcoming events to find your next one.

See upcoming events
About this event

What to expect

Build a production-ready, privacy-focused AI assistant that runs entirely on your own infrastructure. This intensive 4-hour online workshop from Packt Publishing will teach you how to deploy a fully functional AI agent using OpenClaw and Docker Model Runner—no cloud APIs, no external dependencies, complete control over your data.

Why This Workshop Matters

Most AI assistants today rely on external APIs, creating concerns around privacy, cost, and data control. This workshop takes a different approach: you'll learn to build and deploy a private AI assistant that runs entirely on your local machine, giving you full ownership of your infrastructure and data. Whether you're building a personal productivity tool or planning to deploy AI interfaces to messaging platforms like WhatsApp or Telegram, this hands-on session provides the foundation.

What You'll Build

You'll create a fully functional local AI assistant from the ground up. Starting with OpenClaw configuration, you'll learn how to run and manage local large language models using Docker Model Runner. The workshop covers the complete deployment pipeline—from initial setup through security hardening to real-world integration with messaging platforms. By the end of the session, you'll have a working assistant running on your machine and a reusable architecture for future AI projects.

Key Learning Outcomes

  • Understanding how OpenClaw enables personal AI assistants and its architecture
  • Setting up and configuring OpenClaw for local deployment
  • Running and managing local LLMs via Docker containers
  • Implementing security best practices for local AI deployments
  • Connecting your assistant to WhatsApp or Telegram
  • Designing scalable and extensible assistant architectures
  • Managing privacy and data control in AI systems

Hands-On Deliverables

This is a practical, implementation-focused workshop. You'll leave with a fully functional local AI assistant, configured local LLMs running via Docker, and a deployed assistant integrated with your choice of messaging platform. You'll also gain understanding of security and privacy implications and a proven architecture you can adapt for future projects.

Prerequisites

You'll need basic familiarity with Python and APIs. Your laptop should have Docker installed with minimum 16GB RAM recommended for smooth local inference. Optional but helpful: prior experience with LLMs or agent frameworks.

T

Running an AI event?

List it here, free.

Meetups, workshops and conferences go in front of thousands of builders after a quick review.

List your event