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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.
Price per private group, online live training, starting from 1450 € + VAT*
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