What the course covers
Three courses: general GenAI introduction (8 h), general prompt engineering (10 h), then PM lifecycle use (9 h) with ChatGPT/Copilot/Gemini/DALL-E; PM course names charter and WBS outputs.
Practice & assessment
Bundle page describes hands-on activities/projects; PM component names charter/WBS work; no bundle assessment count verified.
Time, cost & access
- Format
- Self-paced
- Delivery & schedule
- Online, flexible, self-paced 3-course specialization.
- Time
- 4 weeks at 10 h/week displayed; component hours sum to 27 h (8+10+9), so estimates conflict.
- Fee
- Confirm the fee with the provider.
- Teaching language
- Confirm with the provider.
- Entry requirements
- No prior AI/ML experience; PM familiarity helpful; browser device and listed tools/accounts required.
- Tools & access
- No prior AI/ML experience; PM familiarity helpful; browser device and listed tools/accounts required.
- Enrollment notes
- Coursera states this specialization cannot be taken for free; financial aid may apply to selected programs. Exact fee not displayed.
- Availability
- Public current page/enrollment CTA; regional eligibility not checked.
- Credits & credential
- Shareable Coursera certificate; no college credit available.
Before you enroll
- Course media not reviewed.
- Conflicting duration estimates.
- No exact current price.
Latest recorded provider-source check: . Individual source dates appear below. Reconfirm current enrollment terms with the provider.
Provider sources & recorded check dates
- Coursera; IBM and SkillUp ↗ — source captured