beginner
OpenClaw: Your First AI Agent
Deploy OpenClaw locally or on a small VPS, add real tools, create one reusable automation, and apply essential security guardrails. You'll leave with a working 'Ops Assistant' that generates a Daily Brief, creates an Action Queue, and does it all safely.
7 lessons58m
What you'll learn
- Install and run OpenClaw (local Docker or VPS)
- Configure identity/memory and a sane default agent profile
- Connect 2 real tools (web/search + one work integration like email/Slack)
- Build one end-to-end automation (Daily Brief + Action Queue)
- Apply essential security: secrets, allowlists, prompt-injection safety check
- Create a simple ops routine: logs, updates, backup/restore
What it looks like in the lab
sandbox — bash
$ openclaw init my-agent
✓ Created agent workspace
$ openclaw run
Agent connected to gateway...
Listening for messages on #general
$ openclaw skill add weather
✓ Installed skill: weather (v1.2.0)
Real terminal output from the hands-on lab environment
Who this is for
- • Developers moving into DevOps or infrastructure roles
- • System administrators learning modern tooling
- • CS students building practical skills
Prerequisites
- • Basic terminal comfort (copy/paste commands)
- • A machine with Docker or a small Linux VM
- • Optional: API keys for your chosen tools (we provide a no-keys fallback path)
Lessons
1
4 min
2
Fast Deploy: Docker Local or Ubuntu VM on Azure
10 min
3
AI Models Troubleshooting
5 min
4
Identity + Memory That Doesn't Rot
8 min
5
Connect Tools
10 min
6
Build the Automation: Daily Brief + Action Queue
15 min
7
Operate It: Logs, Backups, Updates & Safe Iteration
8 min
Get started
Start Free LessonFirst lesson is always free — no signup required
7 hands-on lessons
Beginner level
58m total
Real Linux sandbox labs
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