
Explore OpenClaw, an open-source autonomous AI agent that acts across messaging platforms to execute tasks. Learn server setup, platform connections, and workflows to build a listening, remembering, and action-taking agent.
OpenCLO is open source ai agent embedded in messaging apps that runs on machine or vps. It uses memory to proactively execute tasks like emails, book flights, and web browsing.
Explore real-world OpenClaw use cases—from multi-agent Android setups and Mac mini hosting to automating emails, calendars, texts, and DevOps tasks.
Deploy OpenCLO to a free EC2 AWS instance using Ubuntu, powered by the KimiK 2.5 model. Configure API keys and skills to enable WhatsApp integration.
Configure the OpenClaw bot persona by naming it Jimmy, defining it as a personal assistant, and outlining day-to-day tasks and context to automate workflows via WhatsApp.
Learn to automate AI news aggregation with OpenClaw by setting up a cron job that fetches AI news daily and delivers it at a chosen time.
Automate a daily 8 a.m. email summary with OpenCloud, connecting Gmail via IMAP and an app password to read your inbox and summarize the most recent emails.
Learn to automate Notion page creation with OpenClaw, using the Notion api and integration token to draft a page that describes OpenClaw and its core features.
Automate end-to-end website creation by sending prompts to OpenFlow and OpenCloud, building and deploying a React to-do app with search and authentication in minutes.
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.