OpenClaw Telegram Bot Tutorial · Live · April 26

The OpenClaw Telegram Bot Tutorial That Ends With a Working Private AI Bot

This OpenClaw Telegram bot tutorial does not stop at configuration. You leave with a fully working private AI bot responding in your Telegram — built live, from scratch, in 4 hours with an expert 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 OpenClaw Telegram Bot Tutorial

Why This OpenClaw Telegram Bot Tutorial Is Different

Most bot tutorials show you how to echo messages. This live OpenClaw Telegram bot tutorial shows you how to build a private AI assistant that understands context, remembers conversations, and responds intelligently — all running on your own 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.

OpenClaw Telegram Bot Tutorial Curriculum

What This OpenClaw Telegram Bot Tutorial Covers

Six modules. From OpenClaw setup to a fully deployed private Telegram AI bot.

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 OpenClaw Telegram Bot Tutorial You Will Have

A working private AI bot in Telegram — not just a hello world response.

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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 OpenClaw Telegram Bot Development From a Real Expert

A practitioner who has built and deployed this in production environments.

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 This OpenClaw Telegram Bot Tutorial

Everything you need to know before attending this live tutorial session.

What kind of Telegram bot will I build in this OpenClaw Telegram bot tutorial? +

You will build a fully private AI bot in Telegram powered by OpenClaw and Docker Model Runner. The bot processes messages through a locally running open weight LLM — meaning all conversation data stays on your machine with no cloud AI dependency.

Do I need to know the Telegram Bot API before taking this tutorial? +

No. This OpenClaw Telegram bot tutorial covers the Telegram Bot API setup from scratch including creating your bot with BotFather, getting your bot token, and configuring the Telegram channel within OpenClaw. No prior Telegram bot experience is required.

How is this OpenClaw Telegram bot different from a standard Telegram bot? +

A standard Telegram bot typically calls an external API like OpenAI. The OpenClaw Telegram bot built in this tutorial uses Docker Model Runner to run an LLM entirely on your own machine — giving you complete data privacy, no API costs, and full control over the AI model.

Can I restrict who can use my OpenClaw Telegram bot? +

Yes. This tutorial covers configuring allowlists within OpenClaw so only specific Telegram users can interact with your private AI bot. The instructor covers the complete access control and security configuration during the live session.

Will my OpenClaw Telegram bot run 24/7? +

The final module of this tutorial covers deploying your OpenClaw Telegram bot to a VPS server for always-on availability. Your private AI bot will respond in Telegram even when your laptop is switched off.

Is a recording of this OpenClaw Telegram bot tutorial available? +

Yes. All registered participants receive a full recording after the live session on April 26 so you can rewatch any step of the Telegram bot build at your own pace.