What you’ll learn
- Design multi-step AI prompting chains that pass structured outputs from one task to the next seamlessly.
- Integrate AI models into daily productivity tools (e.g., Microsoft Copilot for Workplace, Google Workspace, Zapier).
- Reduce process cycle times across multi-departmental administrative workflows.
How the course runs
Before the session
Pre-session prep · about 30 minutes
Map a 4-step manual daily workflow currently performed in your department.
Live session
Instructor-led · 2.5 hours
2.5-hour workshop building chained prompt architectures and micro-automations.
After the session
Practice & reinforcement
Implement an automated 3-step document synthesis workflow in daily operations.
Course modules
Principles of Chained Prompting
Systematically linking inputs and outputs across multiple model calls.
Structured Output Enforcement
Using JSON, CSV, and XML formats to pass data between process steps.
Workspace Integration
Leveraging native AI extensions in word processors, email clients, and spreadsheets.
Workflow Optimization
Identifying execution friction, error rates, and human-in-the-loop validation checkpoints.
What you’ll take away
Deliverable: A fully documented 3-step automated workflow blueprint with verified prompt chains.
How your learning is checked: Process cycle-time tracking evaluation measuring time saved over a 30-day post-course period.