🦞 OpenClaw on AWS for Beginners 🦞
🦞 OpenClaw on AWS for Beginners 🦞
Deploy Your AI Agent with Amazon Lightsail & Bedrock
Ready to launch your own AI agent in the cloud?
Join this intensive one-day hands-on workshop where you will learn how to deploy OpenClaw on AWS using Amazon Lightsail and Amazon Bedrock. Instead of running your AI agent on local hardware, you will build a secure, always-on cloud deployment that gives you professional-grade access, flexibility, and scalability.
This course is designed for beginners who want a practical, guided path to setting up their own AI agent infrastructure without needing to manage servers at home. By the end of the workshop, you will have a working OpenClaw environment connected to Telegram, integrated with useful skills, configured with your own AI personality, and secured using production-ready best practices.
You will leave with more than knowledge. You will leave with a fully functional deployment you can continue using after class.
📅 Event Details
Date: Tuesday, 14 April 2026
Time: 9:00 AM to 5:00 PM
Venue: Tanjong Pagar area, Singapore
Class Size: Maximum 20 pax for intensive support
What you’ll take home
A running OpenClaw Gateway as your personal AI infrastructure
A Telegram-connected AI agent you can access from anywhere
3+ integrated skills for practical day-to-day use
A custom AI personality tuned to your preferences
Automated workflows for reminders, monitoring, and briefings
A secure production-ready setup
Access to AWS Free Tier with up to US$200 credits
A Digital Certificate of Achievement
Who this is for
Business owners and founders exploring practical AI adoption
Professionals who want their own private AI agent in the cloud
Developers and tech enthusiasts who want to learn OpenClaw on AWS
Teams looking to understand how AI agents can support productivity and automation
Why join
Beginner-friendly and guided hands-on
No need to keep a laptop or Raspberry Pi running 24/7
Learn cloud deployment with real-world guidance
Small class size for close support
Leave with a usable working setup, not just theory