Building AI systems that actually work. A grounded, practical course on agents, automation and orchestration — without the hype, without the jargon, and with real working examples you can build yourself.
Grounded, practical agent and automation knowledge — deliberately anti-hype.
What agents actually are, the difference between chatbots, workflows and autonomous agents.
Step-by-step construction, testing, iteration and common pitfalls to avoid.
What RAG is, when to use it, document processing and vector databases made simple.
Agent swarms, orchestration patterns, handoffs and coordination strategies.
Zapier, Make, n8n, custom scripts — when to use what and integration patterns.
Guardrails, human-in-the-loop, monitoring and responsible deployment.
Mapping processes, identifying automation candidates and designing reliable systems.
Complete build-alongs: research agent, content pipeline, customer service system.
9 modules cutting through the hype with grounded, practical knowledge.
4 lessons
5 lessons
5 lessons
5 lessons
4 lessons
5 lessons
4 lessons
4 lessons
5 lessons
Technically curious professionals wanting to understand agents (no coding required).
Business analysts and operations managers exploring process automation.
Developers wanting structured, practical agent knowledge beyond tutorials.
Innovation teams evaluating AI automation opportunities for their organisations.
Filmmaker turned AI educator who builds working agent systems, not theoretical frameworks. Rupert's deliberately anti-hype approach cuts through the noise to deliver practical, honest knowledge about what agents can and can't do today. His courses have reached 1000s of students worldwide, earning a consistent 4.9 rating.
No. The course is designed for technically curious people who may not be developers. Many of the tools and platforms covered use visual interfaces. Where code appears, it's explained step-by-step. Developers will find the structured approach valuable, but coding is not a prerequisite.
You should be comfortable using AI chatbots and understand basic concepts like prompting, tokens and context windows. If you've completed a fundamentals AI course or have been using ChatGPT or Claude regularly for a few months, you're ready for this course.
The opposite. This course is deliberately anti-hype. It teaches you what agents actually can and can't do today, when simpler solutions are better than agents, and how to evaluate agent claims critically. If you want honest, grounded knowledge rather than breathless predictions, this is the right course.
Yes. Module 3 walks you through building your first agent, and Module 9 contains four complete build-along projects: a research agent, content pipeline, customer service system and data analyst. These are real, working systems you can adapt for your own needs.
The course covers the full automation stack: Zapier, Make, n8n, and custom solutions. For agents, it uses multiple platforms and frameworks. The focus is on understanding patterns rather than any single tool, so your knowledge stays relevant as the landscape evolves.
Build AI systems that actually work. Enter your email to get started.