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 Duration 7 hours

Course Outline

OpenClaw Foundations and Safety Model

  • Understanding what OpenClaw is, its limitations, and ideal use cases.
  • Key concepts: agents, tools, skills, memory, connectors, and approval mechanisms.
  • Addressing corporate constraints: data sensitivity, environment isolation, and safe default settings.

Setup, Configuration, and First Agent Run

  • Pre-requisite verification: Node.js, Git, API keys, and workspace directory structure.
  • Installing OpenClaw, verifying the setup, and grasping the project architecture.
  • Connecting an LLM provider, establishing core configurations, and validating connectivity.
  • Executing a starter agent with read-only actions initially, then introducing controlled write actions.

Leveraging Built-in Tools and Effective Prompting

  • Interacting with standard tools: file management, shell commands, and simple web tasks.
  • Prompting strategies for consistent execution: setting constraints, defining step plans, and requesting confirmations.
  • Analyzing agent outputs, tool invocations, and traces to identify issues proactively.

Practical Application of Skills and Memory

  • Adding and configuring skills for repeatable workflows.
  • Memory fundamentals: determining what to store, what to exclude, and how to reset safely.
  • Practical exercise: developing a small workflow that utilizes memory responsibly (incorporating a clear stop condition).

Developing and Testing a Custom Skill

  • Skill architecture, input/output definitions, and how OpenClaw discovers and executes skills.
  • Implementing a business-focused skill (e.g., summarizing a folder of reports to generate a concise brief).
  • Testing methodology: sample inputs, expected outputs, error handling, and documentation.

Integrations, Operations, and Future Directions

  • Integration patterns: managing chat and ticket workflows within a secure sandbox environment.
  • Designing repeatable automation flows: triggers, actions, review processes, approvals, and handoffs.
  • Operational essentials: logging, audit trails, configuration management, and pilot readiness checklists.

Requirements

  • Proficiency with basic command-line operations (directories, paths, environment variables).
  • Capability to install and execute developer tools on your workstation (Git, Node.js).
  • Fundamental experience in JavaScript or scripting (reading code and making minor adjustments).

Audience

  • Developers and automation engineers seeking to create 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.

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 1450 € + VAT*

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