Hosted by Jason Edwards · 🇺🇸 US · EN · 59 episodes
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Certified: The IAPP AIGP Audio Course is built for professionals who need a practical path into AI governance without having to stop their day job to get there. It is a strong fit for privacy professionals, compliance teams, risk managers, security leaders, legal and policy staff, product managers, consultants, and anyone else who now has AI oversight in their role. The course assumes you are motivated and capable, but not necessarily deep in technical machine learning work. It starts from clear foundations and then moves into the governance, risk, accountability, and decision-making issues that matter in real organizations. If you are trying to understand how responsible AI programs are structured, how governance connects to business use, and how to prepare for the AIGP certification in a way that feels manageable, this course gives you a steady and usable learning path.You will learn the language, concepts, and operating mindset behind modern AI governance in a format designed for
Jason Edwards hosts Certified: The IAPP AIGP Audio Course, a technology show with 59 episodes published.
Welcome to The Bare Metal Cyber AIGP Audio Course—your practical companion for preparing for the IAPP Artificial Intelligence Governance Professional (AIGP) certification. Built for busy professionals who need a clear un
This episode brings the full course together by showing how development governance and deployment governance should operate as one connected decision-making framework rather than as separate bodies of work. You will lear
This episode explains why deployment governance must include plans for what the organization will say externally and what technical or operational controls it can use if the system must be limited, localized, or shut dow
This episode focuses on the governance work that follows deployment when organizations must document incidents, sustain post-market monitoring, and control how AI systems are used beyond their original approved purpose.
This episode explains how deployed AI systems should be verified through deliberate assurance activities that test more than routine business performance. You will learn how audits confirm whether policies, controls, and
This episode focuses on post-deployment stewardship, which is essential because AI systems continue to change in effect even when their code appears stable. You will learn why ongoing monitoring must track performance, f
This episode explains how deployment governance becomes real through operational controls that shape how data is handled, how risks are tracked, how issues are escalated, and how users are prepared to interact with the s
This episode focuses on proprietary AI systems, which can offer performance, customization, or competitive advantage while also creating governance demands that differ from open or broadly shared tools. You will learn ho
This episode explains why AI governance must include careful review of vendor contracts and licensing terms before deployment, because legal and operational exposure often hides in clauses that technical teams overlook.
This episode explains why organizations should conduct focused impact reviews before deployment even after a system has already been selected, because choosing a tool is not the same as proving it is safe and appropriate
This episode explains how deployment architecture shapes governance by affecting data exposure, control boundaries, latency, integration complexity, and responsibility allocation. You will learn how cloud deployment can
This episode focuses on comparing model types so organizations choose an approach that fits the use case, risk profile, explainability needs, and operational environment instead of defaulting to whatever is popular. You
This episode explains why a technically capable AI system can still be a poor deployment decision if the surrounding business and operational context are not ready for it. You will learn how to evaluate the deployment se
This episode pulls together the development lifecycle by showing how governance starts with early impact assessments and continues through design reviews, testing evidence, approval decisions, and, when required, public-
This episode explains how transparency becomes operational through documentation, user-facing instructions, and monitoring plans that make an AI system understandable enough to govern and use responsibly. You will learn
This episode focuses on incident investigation when an AI system behaves unexpectedly, causes harm, or fails under real-world conditions. You will learn why AI incidents often require cross-functional analysis involving
This episode explains how organizations should examine AI systems in production using methods that go beyond routine monitoring and basic performance checks. You will learn how audits provide structured reviews of whethe
This episode focuses on what happens after launch, when an AI system must be monitored and maintained as a living system rather than treated as a finished product. You will learn why continuous monitoring matters for per
This episode explains how organizations determine whether an AI system is ready to move from testing into real use without treating release as a guess or a deadline-driven compromise. You will learn how model cards can s
This episode explains how organizations should handle problems discovered during training and testing without losing traceability or governance discipline. You will learn why issue management matters when models show bia
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Certified: The IAPP AIGP Audio Course is hosted by Jason Edwards. The show is categorised under technology (education) and has published 59 episodes.
Certified: The IAPP AIGP Audio Course has published 59 episodes.
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Episodes of Certified: The IAPP AIGP Audio Course average 17 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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