AI & Data - AI Governance Framework Foundation, preparation for APMG certification
A practical course focused on AI Governance Framework Foundation, preparation for APMG certification. Participants build skills across three priorities: Introduction to AIPGF, AI in Project Management, Overview of the AIPGF structure.
Detailed programme
Introduction to AIPGF
- Need for governance in AI-assisted projects."
- Objectives of the framework.
- Terminology.
- Perimeter ethical / efficient / effective
- Applicability and scalability.
AI in Project Management
- Rule: Human-in-the-Loop (HITL).
- Differences AI vs traditional computer.
- AI disciplines useful for piloting projects.
- Changes in the role of AI in project management.
- Challenges related to the use of AI.
- Safe, ethical and legal impacts.
Overview of the AIPGF structure
- Life cycle stages.
- Mindset: principles, values and behaviours.
- The method: activities and deliverables.
- Integration with existing approaches.
Exercise
- Summary + practical consolidation exercises.
Roles and responsibilities
- Key roles: project sponsor, project manager, data owner, steering committee.
- The role of AI Ethics advisor.
- Project team.
- Additional roles.
- Flexible allocation strategies according to size/risk.
- Stakeholder mapping.
- Construction of governance teams AI.
AIPGF Principles
- Focused on the human.
- Transparency.
- Adaptation.
- Principles in practice.
AI Security Values
- Accountability.
- Sensitivity.
- Collaboration.
- Curiosity.
- Continuous improvement.
AIPGF Behaviors
- Behaviours associated with the 5 values.
- Adaptation to the project/organization context.
Exercise
- Case study (guided discussion).
AIPGF Lifecycle Stages
- Foundation: framework AI assistance, objectives, tool selection, data literacy, risk identification/management, deliverables.
- Activation: operationalize the plan, monitoring/use control AI, incident/issue management AI, reporting usage, risk update.
- Evaluation: assess the impact of AI, capitalize returns, improve human-AI collaboration.
Exercise
- Build an activities and deliverables checklist.
Preparation for the Foundation examination
- Case study (application and discussion).
- Preparation for the Foundation + white exam (mock/sample exam).
Tell us about your project
Our offices
- Exceev Consulting
61 Rue de Lyon
75012, Paris, France - Exceev Technology
332 Bd Brahim Roudani
20330, Casablanca, Morocco