MSV_AI_009AI & Digital TransformationBeginner

    Certified Responsible AI Analyst (CRAA)​

    A program designed to equip senior leaders to evaluate, monitor, and report on enterprise AI systems—ensuring fairness, compliance, and continuous oversight through measurable, regulation-ready Responsible AI controls.

    4 hours
    Online / Classroom
    Certificate Included
    Certified Responsible AI Analyst (CRAA)​
    FEATURED LEADERSHIP RESOURCE

    Executive Masterclass
    Brochure

    Download the 2026 program overview designed for leadership teams planning their next 90 days of AI transformation.

    MATURITY FRAMEWORK
    IMPLEMENTATION ROADMAP
    CERTIFICATION PATH
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    About This Course

    A program designed to equip senior leaders to evaluate, monitor, and report on enterprise AI systems—ensuring fairness, compliance, and continuous oversight through measurable, regulation-ready Responsible AI controls. A concise, executive-level program that equips leaders with frameworks, governance practices, metrics, and audit techniques needed to evaluate, certify, and monitor AI systems for fairness, transparency, privacy, safety, and regulatory compliance. Designed for decision makers who must ensure AI investments are trustworthy, defensible, and aligned with corporate purpose. A concise, executive-level program that equips leaders with frameworks, governance practices, metrics, and audit techniques needed to evaluate, certify, and monitor AI systems for fairness, transparency, privacy, safety, and regulatory compliance. Designed for decision makers who must ensure AI investments are trustworthy, defensible, and aligned with corporate purpose.

    Key Features

    Expert-led interactive sessions
    Application-focused learning
    Hands-on practical exercises
    Real-world case studies
    Industry-recognized certification

    What You'll Learn

    Understand responsible and ethical AI principles including fairness, accountability, and transparency.
    Identify, assess, and mitigate AI risks such as bias, model drift, and unintended consequences.
    Apply governance frameworks and controls to manage AI systems across their lifecycle.
    Align AI use cases with regulatory expectations and global responsible AI standards.
    Evaluate AI models for explainability, transparency, and human oversight.
    Support organisations in deploying AI that is trustworthy, compliant, and sustainable.

    This Course Includes

    In person expert-led sessions with interactive discussions
    Practice frameworks
    Application led learning experiences

    Materials Included

    Comprehensive guide on Certified Responsible AI
    Practical toolkits and templates
    Access to curated case studies based on real-world scenarios

    Course Curriculum

    • AI fundamentals and enterprise implications
    • Core principles: fairness, accountability, transparency, privacy
    • Global regulatory landscape and standards (EU AI Act, OECD, industry codes)

    Frequently Asked Questions

    Course Details

    Duration4 hours
    FormatOnline / Classroom
    LevelBeginner
    CertificateIncluded
    Modules5

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