Practical Application of AI in Operations and Project Delivery
Status reports, plans, meeting notes and procedures are ideal AI work. Hand them over without losing accuracy or accountability.
What you'll be able to do
- Build plans and schedules with AI and check them against real capacity
- Produce status reports and risk logs that stay honest when AI writes the first draft
- Record meetings and capture actions without creating a privacy problem
- Improve procedures and operational decisions with AI while people own the outcome
Your delivery and operations AI playbook
What's in it. Approved tools and data rules, one row per use case with what AI does, what people decide or confirm, checks and evidence, failure modes and owner, plus the rules for status, recording, procedures and automated operational decisions.
You build it lesson by lesson, using your own organization, and submit it for your certificate. It's yours to keep and adapt.
Who it's for
Project and program managers, PMO leads, operations managers and chiefs of staff.
What's inside
- 1Where the requirement comes from 18 min
- 2How small teams and enterprises meet it 16 min
- 3Planning and scheduling 22 min
- 4Status, risks and reporting 22 min
- 5Meetings, notes and actions 22 min
- 6Procedures and process improvement 22 min
- 7Operational data and decisions 20 min
- 8Hands-on lab: small team choose one 22 min
- 9Hands-on lab: enterprise choose one 24 min
- 10Finish and submit your deliverable 20 min
Built for your size
The requirement is the same everywhere. How you meet it depends on who you have. You pick the lab that matches your organization.
How you earn the certificate
Submit your finished deliverable, which is scored against a published rubric, and pass a short scenario quiz. Your certificate goes to your wallet and can be checked by anyone on the public register.