What the course covers
The 140-hour, four-module curriculum names project risk, Big Data analytics, practical AI tools, data product management, AI ethics/Responsible AI and the AI project lifecycle (CRISP-DM and MLOps). Provider outcomes cover leading AI/data projects from conception through implementation and monitoring, coordinating multidisciplinary teams and structuring data products.
Practice & assessment
The provider describes practice situations during the course and scheduled assessments at available poles; it does not expose a named graded AI-PM assignment or sample learner work.
Time, cost & access
- Format
- Live / instructor-led
- Delivery & schedule
- EAD/online with live and recorded classes, academic support and scheduled assessments. Page duration is inconsistent: the header says 8 months, course text says one year and FAQ gives 6–18 months.
- Time
- 140 hours;8 months/1 year/6–18 months conflict
- Fee
- Confirm the fee with the provider.
- Teaching language
- Confirm with the provider.
- Entry requirements
- Ask the provider about prerequisites.
- Enrollment notes
- Current official course page and candidate/registration portal are available; the page does not disclose a course-specific next start, fee or confirmed seat availability.
Before you enroll
- Duration statements conflict; no AI-specific graded assignment, instructor language, next cohort date or verified seat status is published.
Latest recorded provider-source check: . Individual source dates appear below. Reconfirm current enrollment terms with the provider.
Provider sources & recorded check dates
- UniCesumar ↗ — source captured