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Schulungsübersicht
Course Introduction and Foundation Refresh
- Reviewing course goals, structure, and practitioner expectations
- Refreshing the purpose and key elements of the AI Project Governance Framework
- Connecting foundation concepts to practitioner-level application
AI Governance in the Project Environment
- Understanding how AI-enabled projects differ from conventional projects
- Recognizing common governance concerns such as bias, transparency, accountability, and data use
- Linking governance to project control, trust, and decision quality
Applying the Framework to Project Scenarios
- Interpreting practitioner-style scenarios and project context
- Identifying governance issues, risks, and missing controls
- Selecting appropriate framework responses for the situation
Tailoring Governance Activities and Roles
- Adapting governance based on project scale, complexity, and AI risk level
- Defining suitable governance roles, decision rights, and escalation paths
- Balancing delivery pace with responsible oversight
Managing AI Risks and Governance Controls
- Identifying project risks related to AI models, data, and operational use
- Assessing control gaps and areas requiring additional oversight
- Planning practical mitigation, monitoring, and review actions
Embedding Governance into Project Artefacts
- Reflecting AI governance needs in charters, plans, logs, and status reports
- Using risk registers, decision records, and review checkpoints effectively
- Maintaining traceability and readiness for internal review or audit
Practical Decision-Making Workshop
- Evaluating response options in realistic project situations
- Making justified and proportionate governance decisions
- Communicating decisions clearly to stakeholders and oversight groups
Scenario Practice, Review, and Next Steps
- Working through sample practitioner cases with guided discussion
- Reviewing common mistakes and stronger response approaches
- Planning further practice and preparation for certification assessment
Voraussetzungen
- Understanding of the AI Project Governance Framework at Foundation level
- Experience in project delivery, governance, risk, compliance, audit, or assurance activities
- Basic professional experience applying project management practices in a business environment
Audience
- Project managers, programme managers, and PMO professionals
- Governance, risk, compliance, audit, and assurance professionals
- Business leaders, product owners, and specialists involved in AI-enabled projects
14 Stunden
