Master OpenClaw (ClawdBot) with Kimi K2.5: A Hands-On Guide

Deploy OpenClaw(MoltBot/ClawBot) on AWS EC2 Instance and run your autonomous AI assistant

What you’ll learn
✓ What is OpenClaw
✓ Deploy an AWS Ubuntu Virtual Machine
✓ Install and Configure OpenClaw
✓ Connect and Use OpenClaw with Real Tools

Requirements
● Basic familiarity with command-line tools
● An active Aws subscription

Description
Want to build powerful AI agents that can browse the web, reason through tasks, and act autonomously—without getting lost in theory?

This hands-on course is your practical, step-by-step guide to OpenClaw (ClawdBot) powered by Kimi K2.5. You’ll go from zero to confidently running and deploying OpenClaw on AWS EC2, while understanding how it works behind the scenes and how to apply it to real-world scenarios.

Instead of abstract explanations, this course focuses on doing—setting up, configuring, running, and experimenting with OpenClaw in realistic workflows.

If you’ve been curious about AI agents but felt overwhelmed by scattered docs and repos, this course is designed for you.

What You’ll Learn

By the end of this course, you’ll be able to

• Understand the core concepts behind OpenClaw and ClawdBot(MoltBot)

• Learn how Kimi K2.5 integrates with OpenClaw for reasoning and task execution

• Set up OpenClaw from scratch on an AWS EC2 instance

• Configure environments, dependencies, and credentials correctly

• Run OpenClaw agents locally and on the cloud

• Explore practical, real-world use cases for AI agents

• Understand how OpenClaw workflows execute tasks step by step

• Avoid common setup and deployment mistakes beginners face

What Makes This Course Different

• Beginner-friendly, no fluff explanations

• Strong focus on hands-on demos and real usage

• Clear breakdown of what OpenClaw does vs how it does it

• Production-style deployment on AWS EC2, not just local runs

• Designed for learners who want working skills, not just concepts

Who This Course Is For

This course is perfect for

• Developers curious about AI agents and autonomous systems

• Engineers who want to use OpenClaw without building it from scratch

• Backend, full-stack, or DevOps developers exploring AI tooling

• Students and professionals experimenting with LLM-powered agents

• Anyone who wants a practical entry into OpenClaw + Kimi K2.5

No prior experience with OpenClaw is required.

Prerequisites

To get the most out of this course, you should have

• Basic programming knowledge (any language is fine)

• Familiarity with the command line

• Basic understanding of cloud concepts (helpful, not mandatory)

• An AWS account (we’ll walk through the EC2 setup step by step)

Key Takeaways

• Confidently run and deploy OpenClaw agents

• Understand how Kimi K2.5 powers reasoning inside ClawdBot

• Apply OpenClaw to real-world automation and research tasks

• Gain a strong foundation to explore advanced AI agent systems

• Walk away with practical skills you can reuse immediately

If you’re looking for a clear, hands-on, and no-nonsense way to master OpenClaw with Kimi K2.5—this course will get you there.

Who this course is for
■ Developers and engineers curious about AI agents
■ Builders who want to use OpenClaw, not build it from scratch
■ Tech enthusiasts who want a cloud-deployed, real-world AI workflow
■ Anyone looking to integrate AI agents with messaging platforms