Secure Autonomous AI Agents with OpenClaw
Deploy always-on AI agents that can think, act, and operate independently across your systems.
Shape Your Digital Decision Making
OpenClaw enables you to build and manage secure, autonomous digital workers that run continuously across local machines and cloud environments. This course shows you how to combine modern AI models with practical infrastructure, giving you full control over privacy, cost, and performance. You will learn how to design agents that do real work, adapt over time, and operate safely in production environments.
Future-Proof Your Role
Empower yourself and your team from just £795.
(Group discounts available)
This event takes place in-person and online. In-person is at the Innovation Centre at Sci-Tech Daresbury, Cheshire.
What you’ll learn
- Deploy autonomous AI employees across local machines (Windows, macOS, Linux), Docker containers, and VPS environments.
- Configure the Soul architecture, including identity, user, and agent files to create persistent digital personas
- Run private, offline AI using Ollama and local LLMs to reduce cost and improve data privacy.
- Orchestrate agent-driven software development using Claude Code, Codex, and OpenCode.
- Enable voice and vision capabilities with Whisper, FFmpeg, and local image generation tools like ComfyUI.
- Control your AI agents remotely using interfaces like Telegram, WhatsApp, Slack, or iMessage.
- Manage remote file systems securely, allowing agents to read, write, and organise files across environments.
- Understand the future of agent ecosystems, including community tools, shared networks, and safe configuration practices.
Key Outcomes
- Create production-ready AI agents that automate meaningful, repeatable work.
- Design systems that run continuously with minimal human input.
- Balance performance, cost, and security across local and cloud environments.
- Confidently deploy and manage AI agents in real-world settings.
- Reduce reliance on manual processes through intelligent automation.
- Understand and apply the core architecture behind modern agent systems.
- Build a scalable foundation for future AI driven operations.