No-Code AI Automation
Build real automations with Zapier, Make or n8n: triggers, LLM steps, error handling, and five workflows worth building first.
AI automation consulting is among the best-paid freelance niches on the market, and the reason is simple: almost nobody builds automations that survive contact with real data. This course teaches the discipline. You will learn to choose tasks worth automating, design trigger-steps-output on paper before opening a tool, choose between Zapier, Make and self-hostable n8n (which matters if you handle confidential material), and write LLM steps that produce predictable output the next step can rely on. Then the part everyone skips: testing, deduplication, error notification, kill switches, and staged rollout. You will finish with five concrete automations worth building first.
What you'll learn
- Score a task honestly for whether it is worth automating at all
- Design any automation as trigger, steps and output before you build
- Choose between Zapier, Make and n8n on cost, control and confidentiality
- Write LLM steps with fixed output shapes that later steps can trust
- Test against ugly real data and build in deduplication and kill switches
- Ship five useful automations and roll them out in safe stages
Course content
- 1. What is worth automating, and what is not (15 min)
- 2. The three building blocks: trigger, steps, output (15 min)
- 3. Choosing your platform: Zapier, Make, n8n (15 min)
- 4. Putting an LLM step in the middle (15 min)
- 5. Testing, error handling, and not breaking things (15 min)
- 6. Five automations worth building first (15 min)
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