AI automation isn't just the future anymore—it's happening right now, and companies that aren't using it are falling behind. In this course, you'll skip the fluff and theory to build actual AI agents that you can deploy immediately in real work environments.

We'll use n8n (a powerful automation platform you can run on your own servers) combined with Microsoft Outlook to create systems that actually notify you when things happen. No toy examples or academic exercises—just practical tools that solve real business problems.

Your instructor has been working in tech for over three decades and knows what actually works in the field versus what just sounds good on paper. By the end of this course, you'll have hands-on experience building automation workflows that you can literally start using at work the next day.

Learning Outcome

By the end of this course, participants will be able to:

1. Set up and maintain a self-hosted n8n instance (Docker, VPS, or platform).
2. Integrate local or remote LLMs into n8n workflows.
3. Build AI agents capable of reacting to email and other triggers.
4. Implement Outlook-triggered workflows with automated analysis and responses.
5. Send real-time Outlook notifications based on LLM agent results.
6. Apply best practices in prompt engineering, debugging, and secure deployment.
7. Design scalable, real-world AI agents in self-hosted environments.

Prerequisite

• Good experience with POSIX systems such as linux.
• Access to a server or Docker for self-hosted n8n.
• Microsoft 365 account with Outlook API access.
• Local LLM instance (e.g. Hugging Face token or saved models).