Make repetitive work stay solved.
Design reliable business automations with AI steps, clear failure handling, and a handoff a real operator can use.
- In planning
- No launch date is promised
- Remote-first
- Proposed delivery format
- Practical proof
- Capstone-led curriculum design
- Interest only
- Not an internship application
Why this belongs on the roadmap.
Automation becomes valuable when it survives messy inputs, changed credentials, and real exceptions. The planned track would teach workflow judgment and operational reliability, not just drag-and-drop assembly.
Research sources support the direction, not a launch date or outcome. This page does not promise a job, salary, client, income, or final curriculum.
Research basis
The work this curriculum would cover.
Each planned module is designed to produce evidence, moving from foundations to work a real operator can inspect.
- 01Map a business process and decide what should remain human
- 02Build scheduled, webhook, and event-driven workflows
- 03Transform JSON and join data from multiple systems
- 04Use APIs, OAuth, pagination, and rate limits safely
- 05Add AI classification and generation with validation
- 06Design retries, idempotency, monitoring, and maintenance runbooks
The proof this track would demand.
Three production-grade automations for a real business, each with test evidence, execution logs, error handling, owner documentation, and a practical maintenance handoff.
The planned curriculum would map suitable work to current platform learning paths where those credentials remain available.
The working stack.
Tools can change before launch. The proposed workflow and quality bar are the durable part.
- n8n
- Make
- Zapier
- Claude
- Google Workspace
- GitHub
Register interest in this track.
Join the track-specific waitlist. This is separate from the internship intake waitlist and does not submit an application.