What the course covers

  • Eight modules: governed AI project delivery
  • project data/risk analytics
  • AI-assisted agile backlog/dependency/release planning
  • DevOps flow and release controls
  • predictive risk and intervention
  • stakeholder sentiment/change
  • AI governance/portfolio assurance
  • benefits and executive reporting. Methods include ISO31000 risk registers, DORA indicators, conceptual Monte Carlo/anomaly detection, human-reviewed AI estimates and NIST AI RMF review gates.

Practice & assessment

Eight named module exercises produce a delivery operating model, risk-sensing register, governed backlog/release plan, release-risk dashboard, intervention playbook, stakeholder response brief, governance checklist and integrated benefits dashboard/action roadmap. Main page describes controlled datasets, recovery simulation and facilitator-provided templates; production model engineering remains conceptual.

Time, cost & access

Format
Live / instructor-led
Delivery & schedule
Five-day instructor-led course; current online weekend 31 October–22 November 2026 and weekday 2–6 November 2026 options, with seven advertised online sessions. Main page shows multi-city/classroom routes. Dates are access routes, not extra offerings.
Time
Provider states five days. Weekend delivery spans four weeks. Illustrative completion certificate displays 30CPD hours; exact instructional/contact hours are not established and CPD is not converted to duration.
Fee
Live online USD 850 per participant including tuition/course materials on schedule page; other cities vary. Tax, licences and booking terms unverified.
Teaching language
Confirm with the provider.
Entry requirements
Practical experience with projects, programmes, products, PMO reporting, transformation or portfolio decisions. Agile/risk-register/KPI familiarity useful; advanced data science/programming not required. Browser/spreadsheet exercises use facilitator-provided datasets/templates; participants design workflows rather than deploy production models.
Enrollment notes
The provider lists future sessions with Reserve a seat links. Checkout, seat availability, booking and access to learner content have not been tested.
Credential
Trainingcred Certificate of Course Completion subject to meeting course requirements; illustrative certificate shows30CPD hours. Independent recognition, PMI credit acceptance and degree accreditation not verified.

Before you enroll

  • Provider describes exercises; no learner submissions or outcomes inspected.
  • 30 CPD hours appear on an illustrative certificate, not an independently verified contact-hour total.
  • Tool examples include Copilot, AzureDevOps andPowerBI; exact licences/software coverage depend on course scope and format.
  • Review/testimonials on the page are provider/category-wide; the page says no published review of this specific course.
  • Instructional language and external credit recognition unknown.

Latest recorded provider-source check: . Individual source dates appear below. Reconfirm current enrollment terms with the provider.

Provider sources & recorded check dates