Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 7 hours
Course Outline
OpenClaw Foundations and Safety Model
- Understanding what OpenClaw is, what it is not, and when it is suitable
- Core concepts: agents, tools, skills, memory, connectors, and approvals
- Corporate considerations: data sensitivity, environment separation, and safe defaults
Setup, Configuration, and First Agent Run
- Prerequisites check: Node.js, Git, API keys, and workspace folders
- Install OpenClaw, verify installation, and understand the project layout
- Connect an LLM provider, set core configuration, and validate connectivity
- Run a starter agent with read-only actions initially, then add controlled write actions
Using Built-in Tools and Reliable Prompting
- Working with common tools: files, shell commands, and simple web tasks
- Prompting patterns for predictable execution: constraints, step plans, and confirmations
- Reviewing agent outputs, tool calls, and traces to identify issues early
Skills and Memory in Practice
- Adding and configuring skills for repeatable workflows
- Memory basics: determining what should be stored, what should not, and how to reset safely
- Practical exercise: build a small workflow that uses memory carefully (with a clear stop condition)
Building and Testing a Custom Skill
- Skill structure, inputs and outputs, and how OpenClaw discovers and runs skills
- Implement a small business-oriented skill (example: summarize a folder of reports and produce a short brief)
- Testing approach: sample inputs, expected outputs, error handling, and documentation
Integrations, Operations, and Next Steps
- Integration patterns: chat and ticket workflows in a safe sandbox environment
- Designing a repeatable automation flow: trigger, action, review, approvals, and handoff
- Operational basics: logging, auditability, configuration management, and a pilot readiness checklist
Requirements
- Familiarity with basic command-line operations (folders, paths, environment variables)
- Ability to install and run developer tools on your workstation (Git, Node.js)
- Basic experience with JavaScript or scripting (reading and making minor edits)
Audience
- Developers and automation engineers seeking to build AI-powered assistants and internal tooling
- IT and operations professionals aiming to automate recurring support and administrative tasks
- Technical product owners and team leads evaluating self-hosted AI agent solutions
