Beginner
8h · 36 lessons
AI Workflows & Automation
From n8n prototypes to reliable production pipelines.
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About this course
Design event-driven AI workflows, add human review, monitor cost and latency, and integrate across your stack.
What you'll learn
- Automate real business processes end-to-end with AI in the loop
- Wire LLMs into event-driven workflows without brittle prompts
- Design idempotent, resumable jobs that survive failures
- Measure ROI and iterate on automations you own
Requirements
- Comfort with any scripting language
- Familiarity with webhooks and JSON APIs
- An account on one workflow tool (n8n, Zapier, Make or Temporal)
Curriculum
6 modules · 24 lessons
Module 1Automation foundations4 lessons
Module 1
Automation foundations
- 01.01Where AI fits in a workflow
- 01.02Event-driven vs batch
- 01.03Choosing a runtime
- 01.04Mapping your first process
Module quiz · 3 questions
Module 2Working with LLMs in workflows4 lessons
Module 2
Working with LLMs in workflows
- 02.01Structured output with schemas
- 02.02Retries and fallbacks
- 02.03Prompt versioning
- 02.04Guardrails against hallucination
Module quiz · 3 questions
Module 3Integrations that matter4 lessons
Module 3
Integrations that matter
- 03.01Email, Slack and calendars
- 03.02CRMs and spreadsheets
- 03.03Databases and warehouses
- 03.04Custom HTTP steps
Module quiz · 3 questions
Module 4Reliability4 lessons
Module 4
Reliability
Module quiz · 3 questions
Module 5Case studies4 lessons
Module 5
Case studies
- 05.01Inbox triage bot
- 05.02Sales lead enrichment
- 05.03Support ticket routing
- 05.04Weekly reporting agent
Module quiz · 3 questions
Module 6Shipping and measuring4 lessons
Module 6
Shipping and measuring
- 06.01Rollout strategies
- 06.02Human override paths
- 06.03Tracking cost and time saved
- 06.04Capstone workflow
Module quiz · 3 questions