What the course covers
Seven modules cover AI tools for PM, data-driven project decisions, collaboration/productivity, ethics and bias, project-data preparation, implementation and monitoring, risk management and future PM use cases.
Practice & assessment
Provider describes practical exercises, demonstrations and project implementations, including a workshop on AI-tool deployment; it does not specify a graded assignment or a particular project artifact.
Time, cost & access
- Format
- Confirm format
- Delivery & schedule
- One-day hybrid course in Dubai; next listed date Dec 15, 2026; additional delivery is marked on request. Provider asks applicants to call for price.
- Fee
- Confirm the fee with the provider.
- Teaching language
- Confirm with the provider.
- Entry requirements
- Ask the provider about prerequisites.
- Enrollment notes
- A Register link is listed for the Dec 15 cohort and on-request cohorts; confirm seat availability and fee with the provider.
Before you enroll
- Course prerequisites include basic math/AI plus computer-science concepts such as programming, data structures and algorithms; the page does not specify named project exercises, assessment or fee.
Latest recorded provider-source check: . Individual source dates appear below. Reconfirm current enrollment terms with the provider.
Provider sources & recorded check dates
- MasterSkill LMS / AI CERTs ↗ — source captured
- MasterSkill LMS / AI CERTs ↗ — source captured
- MasterSkill LMS / AI CERTs ↗ — source captured
- MasterSkill LMS / AI CERTs ↗ — source captured
- Fast Lane South Africa / AI CERTs ↗ — source captured