AI Assistant Connected to WhatsApp · Live · April 26

Build Your Own AI Assistant Connected to WhatsApp — Private and Local

An AI assistant connected to WhatsApp that runs locally on your own machine is one of the most practically useful things you can build in 2026. This live workshop shows you how — using OpenClaw and Docker Model Runner — with a working connection by the end.

Sunday, April 26   9am to 1pm EDT
4 Hours   Hands-on coding
Live Online   Interactive
Register Now → See what you will build ↓

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
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

Over 20 Years of Helping Developers Build Real Skills

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GitHub stars for OpenClaw — the tool you will master
100%
Hands-on — every session involves real code and live building
About This Workshop

Why Connecting Your Own AI Assistant to WhatsApp Makes So Much Sense

WhatsApp is where you already communicate. Connecting your own AI assistant to WhatsApp means your private AI is always available through the interface you already use — with no new apps to learn, no subscriptions to pay, and no data leaving your machine.

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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 and Connect Your Own AI Assistant to WhatsApp

Six modules. From building your AI assistant to connecting it to WhatsApp.

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

Your own AI assistant connected to WhatsApp — private, local, and working.

✓

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

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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 WhatsApp AI Assistant Connection From a Real Expert

Rami Krispin has built and deployed private AI assistants connected to WhatsApp 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 their own private AI assistant connected to WhatsApp.

Frequently Asked Questions

Common Questions About AI Assistants Connected to WhatsApp

Everything you need to know about connecting your own AI assistant to WhatsApp.

How do I connect my own AI assistant to WhatsApp using OpenClaw? +

OpenClaw connects your AI assistant to WhatsApp through its WhatsApp channel integration. You configure the channel with your WhatsApp credentials, complete the QR code pairing process, and configure security settings like allowlists. From that point your AI assistant receives and responds to WhatsApp messages automatically — with all AI processing happening on your local Docker Model Runner.

What can my WhatsApp-connected AI assistant do out of the box? +

Out of the box your WhatsApp-connected AI assistant can hold conversations, answer questions, help with writing tasks, summarise content, and assist with any task the underlying open weight model supports. The skills system lets you extend it with additional capabilities like reminders, data lookups, and automations.

How secure is my own AI assistant when connected to WhatsApp? +

Security is covered in module three of this workshop. Your AI assistant is secured through allowlists (only authorised contacts can interact), DM pairing authentication, and sandbox mode for testing. The AI processing itself is completely private — happening on your own machine with no cloud AI provider involvement.

Can I have multiple AI assistants connected to different WhatsApp accounts? +

You can run multiple OpenClaw instances connected to different WhatsApp accounts on the same machine, with appropriate resource allocation. The instructor covers multi-instance configuration for developers who want separate assistants for different use cases during the workshop.

What if I want to change the AI model my WhatsApp assistant uses? +

Switching the AI model your WhatsApp assistant uses is straightforward — pull the new model through Docker Model Runner and update the model configuration in OpenClaw. Your WhatsApp connection remains intact. The instructor covers model switching without disrupting the WhatsApp connection during the workshop.

Can my WhatsApp-connected AI assistant remember things across different days? +

OpenClaw's default context window covers the current conversation session. For longer-term memory across multiple conversations, OpenClaw supports memory configuration options. The instructor covers memory architecture and how to configure it for your specific use case during the workshop.

AI Assistant Connected to WhatsApp · April 26, 2026

Ready to Connect Your Own AI Assistant to WhatsApp?

4 hours. Live instructor. Own AI assistant connected to WhatsApp by the end. Seats are limited.

Register Now →

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