This 40-hour intermediate course equips regulated delivery teams with practical workflows for governing AI systems across healthcare, finance, and government environments. Participants learn to classify AI tools by risk, define tiered governance policies, assign decision rights, and build audit-ready documentation—all mapped to frameworks like NIST AI RMF and regulations including HIPAA, GDPR, and PCI-DSS. Through scenario-based exercises and collaborative design labs, teams leave with repeatable processes they can embed directly into sprint planning, deployment gates, and incident reviews.
Program Snapshot
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Enrollment Context
- Engineers building or deploying AI/ML systems in regulated industries - Product managers and delivery leads responsible for AI feature governance - Compliance specialists and risk officers overseeing AI tool adoption - Team leads embedding governance into agile or DevOps workflows - Security professionals assessing AI tools for data sovereignty and access controls
This course can be pursued through the public schedule when sessions are posted or through the dedicated team-training path when your organization needs a private delivery lane.
IEC delivers this course through live cohorts, dedicated team options, and a broader software, security, and program-delivery practice.
Related Paths
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This 24-hour advanced course prepares experienced professionals for the ISACA Advanced in AI Security Management (AAISM) credential. Covering the intersection of artificial intelligence and cybersecurity governance, the curriculum addresses AI threat landscapes, risk management frameworks, secure AI lifecycle practices, and regulatory compliance. As organizations rapidly adopt AI systems, the demand for professionals who can manage AI-specific security risks has never been greater. This course aligns to ISACA's exam domains and equips you with the knowledge to confidently sit for the AAISM certification exam.
Artificial Intelligence
This 24-hour certification preparation course equips professionals to earn the PMI Certified Professional in Managing AI (PMI-CPMAI) credential. Covering the full AI project lifecycle—from problem framing and data engineering to model building, deployment, and operationalization—the course aligns to the CPMAI framework domains recognized by PMI. Participants learn to lead cross-functional AI initiatives, manage AI-specific risks, and apply structured methodologies that bridge traditional project management with modern artificial intelligence workflows. Prepare confidently for the PMI-CPMAI exam with hands-on exercises and domain-focused review.
Course FAQ
Yes. IEC delivers live, instructor-led training designed for real exam readiness, practical discussion, and direct learner support rather than passive self-study only.
- Engineers building or deploying AI/ML systems in regulated industries - Product managers and delivery leads responsible for AI feature governance - Compliance specialists and risk officers overseeing AI tool adoption - Team leads embedding governance into agile or DevOps workflows - Security professionals assessing AI tools for data sovereignty and access controls
- Foundational understanding of AI/ML concepts (model types, training vs. inference) - Familiarity with at least one regulatory framework (HIPAA, GDPR, PCI-DSS, or SOC 2) - Experience with deployment workflows or system lifecycle management - Basic awareness of data security principles and access controls - Recommended: prior involvement in compliance audits or risk assessments
Yes. IEC can run this course as a live public cohort when dates are posted or as a dedicated private team delivery when you need custom scheduling.
