Building Autonomous AI Assistants with OpenClaw
About This Course
OpenClaw is an open-source Artificial Intelligence (AI) agent platform that runs locally on a user’s machine and integrates with messaging applications to perform autonomous tasks such as executing shell commands, automating browser workflows, and managing schedules.
This two-day intensive course equips developers and technical practitioners with the skills to design, deploy, customise, and secure OpenClaw-based AI assistants. Through guided exercises and hands-on implementation, participants will learn how to build autonomous agents, integrate them with external tools and services, and apply security practices for safe deployment in real-world environments.
What You'll Learn
- Install, configure, and run OpenClaw using both cloud-based and local Large Language Model (LLM) providers.
- Connect OpenClaw to messaging platforms and manage agents remotely.
- Configure the heartbeat scheduler to enable autonomous and continuous agent operation.
- Develop custom skills that integrate with external Application Programming Interfaces (APIs) and services.
- Design multi-step automation pipelines and agent-driven workflows.
- Apply security best practices, including prompt injection defence, skill sandboxing, and secure configuration defaults.
- Assess when OpenClaw is an appropriate solution compared with other agent frameworks.
Entry Requirements
- Basic Computer Literacy
- Basic familiarity with Python or JavaScript
- Familiarity with Representational State Transfer Application Programming Interfaces (REST APIs)
- Introductory understanding of Large Language Models (LLMs) such as Claude or ChatGPT
- Comfortable with command line interface