課程資料
課程簡介
Deploy OpenClaw(MoltBot/ClawBot) on AWS EC2 Instance and run your autonomous AI assistant
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.
課程章節
- 3 個章節
- 9 堂課
- 第 1 章 Introduction
- 第 2 章 Installation & Setup
- 第 3 章 Automating Tasks Using OpenClaw
課程內容
- What is OpenClaw, Deploy an AWS Ubuntu Virtual Machine, Install and Configure OpenClaw, Connect and Use OpenClaw with Real Tools
此課程所涵蓋的技能
評價
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TTeodoru Contu
Yes, it helps me to know about OpenClaw and how to use it.
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SSimon Garner
Quick reference on how to set things up. No fine-tuning, skills, advanced workflows etc.
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SSidharth S
Cool. This is interesting!