AAIR – Advanced in AI Risk
The Advanced in AI Risk (AAIR) course is an advanced online training program designed for AI governance professionals, risk managers, […]
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
The Advanced in AI Risk (AAIR) course is an advanced online training program designed for AI governance professionals, risk managers, cybersecurity specialists, compliance officers, data scientists, AI engineers, machine learning practitioners, enterprise architects, auditors, legal professionals, technology leaders, and business executives responsible for managing the risks associated with Artificial Intelligence systems. This course provides participants with comprehensive knowledge of AI risk governance, risk assessment methodologies, regulatory compliance, ethical AI, model governance, and operational controls required to develop, deploy, and manage trustworthy AI solutions. Learners will explore AI risk frameworks, AI lifecycle management, governance structures, model validation, bias detection, explainability, transparency, privacy, cybersecurity, third-party AI risks, cloud AI security, Generative AI governance, regulatory requirements, and emerging global AI standards. The curriculum also covers AI incident response, model monitoring, adversarial attacks, responsible AI principles, AI assurance, human oversight, risk reporting, business continuity, and enterprise AI governance strategies. Participants will gain practical knowledge of identifying, assessing, mitigating, monitoring, and communicating AI-related risks across the entire AI lifecycle while ensuring alignment with organizational objectives and legal obligations. Through enterprise case studies, practical workshops, governance exercises, and real-world implementation scenarios, learners will develop the expertise needed to establish effective AI risk management programs within public and private sector organizations. Upon completion, participants will possess the advanced knowledge and practical skills required to lead AI risk initiatives, support responsible AI adoption, and strengthen enterprise AI governance.
What You Will Learn
- Introduction to AI Risk Management
- AI Governance Frameworks
- AI Risk Management Frameworks
- AI Ethics and Responsible AI
- AI Regulations and Compliance
- AI Model Risk Management
- Bias, Fairness, and Explainability
- Data Governance for AI
Curriculum
- 1 Section
- 20 Lessons
- 40 Hours
- AAIR – Advanced in AI Risk Curriculum20 Items
- 1.1Introduction to AI Risk Management30 Minutes
- 1.2AI Governance Frameworks30 Minutes
- 1.3AI Risk Management Frameworks30 Minutes
- 1.4AI Ethics and Responsible AI30 Minutes
- 1.5AI Regulations and Compliance30 Minutes
- 1.6AI Model Risk Management30 Minutes
- 1.7Bias, Fairness, and Explainability30 Minutes
- 1.8Data Governance for AI30 Minutes
- 1.9AI Security30 Minutes
- 1.10Privacy and Confidentiality30 Minutes
- 1.11Generative AI Risk Management30 Minutes
- 1.12Cloud AI and Third-Party Risk30 Minutes
- 1.13AI Monitoring and Continuous Assurance30 Minutes
- 1.14AI Incident Response30 Minutes
- 1.15Enterprise AI Governance30 Minutes
- 1.16Business Continuity and Operational Resilience30 Minutes
- 1.17AI Auditing and Assurance30 Minutes
- 1.18Enterprise AI Risk Implementation30 Minutes
- 1.19Enterprise Case Studies and Best Practices30 Minutes
- 1.20Final Review and Capstone30 Minutes
SkillDynamo Expert Team
IT Governance, Cybersecurity Audit, Enterprise Risk Management, and Digital Transformation professional with 20+ years of international experience in information technology, governance, risk and compliance (GRC), cybersecurity, artificial intelligence, enterprise architecture, audit, and corporate training. Throughout his career, he has successfully led governance and risk initiatives for multinational organizations across banking, financial services, healthcare, telecommunications, government, manufacturing, energy, retail, education, and cloud service providers.
- As an experienced consultant and corporate trainer, Thomas has delivered instructor-led online, virtual, and onsite training programs for IT auditors, cybersecurity professionals, compliance officers, governance specialists, enterprise architects, risk managers, AI professionals, senior executives, and technology leaders preparing for globally recognized certifications. His training combines internationally accepted frameworks with practical implementation experience, enterprise case studies, governance workshops, and certification-focused guidance.
- Professional Summary
- 20+ years of experience in Artificial Intelligence Governance, IT Governance, Enterprise Risk Management, Cybersecurity Audit, IT Audit, Digital Transformation, Compliance, and Information Security.
- Extensive expertise in implementing enterprise governance frameworks, AI governance programs, cybersecurity audit methodologies, and risk management practices.
- Proven experience establishing governance, risk, and compliance (GRC) programs aligned with international standards and business objectives.
- Strong background in enterprise architecture, digital governance, cloud governance, AI risk management, cybersecurity controls, IT assurance, and audit management.
- Delivered corporate training for government agencies, financial institutions, healthcare organizations, technology companies, and multinational enterprises.
- Recognized for translating complex governance and risk concepts into practical, real-world implementation strategies.
- Training Specializations
- AAIR – Advanced in AI Risk
- COBIT® Design & Implementation Certificate
- COBIT® Foundation
- Artificial Intelligence Fundamentals Certificate
- Cybersecurity Audit Certificate
- IT Audit Fundamentals Certificate
- IT Risk Fundamentals Certificate
- Enterprise Governance of Information and Technology (EGIT)
- AI Governance and Responsible AI
- Cybersecurity Governance
- Enterprise Risk Management (ERM)
- Governance, Risk, and Compliance (GRC)
- Digital Transformation Governance
- IT Service Governance
- Information Security Management
- Professional Experience
- Thomas has successfully led enterprise governance, cybersecurity, audit, and AI transformation initiatives for organizations undergoing digital modernization and regulatory compliance programs. He has designed and implemented governance frameworks that align IT investments with business objectives while improving operational efficiency, cybersecurity resilience, regulatory compliance, and organizational accountability.
- His governance consulting experience includes implementing enterprise governance models, IT operating models, digital transformation strategies, governance structures, portfolio management, performance measurement systems, and executive reporting mechanisms. He has advised senior leadership on aligning technology strategy with organizational goals while improving decision-making and business value realization.
- As an AI governance specialist, Thomas has helped organizations establish responsible AI frameworks covering AI risk management, ethical AI, model governance, explainability, bias management, regulatory compliance, human oversight, AI lifecycle governance, and enterprise AI adoption. He has supported organizations in securely deploying machine learning and Generative AI solutions while maintaining compliance with emerging global AI regulations and governance standards.
- Thomas has extensive experience conducting IT audits, cybersecurity assessments, risk evaluations, governance reviews, compliance audits, and control effectiveness assessments across cloud environments, enterprise infrastructure, critical business applications, and operational technology. His work includes evaluating governance maturity, identifying organizational risks, strengthening internal controls, and supporting continuous improvement initiatives.
- As a cybersecurity consultant, he has worked with executive management, audit committees, compliance teams, security operations centers (SOC), and enterprise architecture teams to develop governance frameworks, cybersecurity strategies, security policies, audit programs, risk treatment plans, and resilience initiatives aligned with industry best practices
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