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Course Outline

OpenClaw Foundations and Safety Model

  • Understanding what OpenClaw is, its limitations, and appropriate use cases
  • Core concepts: agents, tools, skills, memory, connectors, and approval workflows
  • Corporate considerations: data sensitivity, environment separation, and safe defaults

Setup, Configuration, and First Agent Run

  • Prerequisites verification: Node.js, Git, API keys, and workspace directories
  • Install OpenClaw, verify the installation, and familiarise yourself with the project structure
  • Connect an LLM provider, configure core settings, and validate connectivity
  • Execute a starter agent starting with read-only actions, then progressing to controlled write operations

Using Built-in Tools and Reliable Prompting

  • Working with common tools: file management, shell commands, and simple web tasks
  • Prompting strategies 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 fundamentals: determining what should be stored, what should not, and how to reset safely
  • Practical exercise: build a small workflow that utilises memory carefully (with a clear termination condition)

Building and Testing a Custom Skill

  • Skill structure, inputs and outputs, and how OpenClaw discovers and executes skills
  • Implement a business-oriented skill (example: summarise a folder of reports and produce a concise brief)
  • Testing methodology: sample inputs, expected outputs, error handling, and documentation

Integrations, Operations, and Next Steps

  • Integration patterns: chat and ticket workflows within a secure sandbox environment
  • Designing a repeatable automation flow: triggers, actions, reviews, approvals, and handoffs
  • Operational essentials: logging, auditability, configuration management, and a pilot readiness checklist

Requirements

  • Familiarity with basic command line operations (folders, paths, environment variables)
  • Ability to install and execute developer tools on your workstation (Git, Node.js)
  • Basic experience with JavaScript or scripting (reading code 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
 7 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 1300 € + VAT*

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