Certified: The IAPP AIGP Audio Course
by Jason Edwards
Welcome to the AIGP Course!
About this podcast
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 listening first. The lessons explain how organizations think about AI risk, accountability, transparency, oversight, policy design, lifecycle controls, third-party considerations, documentation, and cross-functional decision-making. Instead of sounding like a policy manual read into a microphone, the teaching is built to be clear in your headphones, in your car, on a walk, or between meetings. Each episode is shaped to help you absorb complex ideas through straightforward explanation, practical framing, and repeated connection to real workplace decisions. That matters because AI governance can feel abstract when it is presented as a wall of terms. In audio form, the material becomes easier to follow, easier to revisit, and easier to connect to the kinds of judgment calls professionals face every day.
What sets this course apart is that it treats the certification as important, but not as the only goal. You are not just memorizing terms for a test. You are building a working understanding of how AI governance fits into real organizations, how roles and responsibilities should be defined, where risk and compliance pressures show up, and how to think clearly when rules, innovation, and business pressure collide. The teaching stays grounded, avoids unnecessary jargon, and respects the fact that most learners want both exam readiness and practical value. Success here means more than finishing episodes. It means you can hear a new AI initiative, understand the governance questions behind it, speak more confidently across teams, and walk into the IAPP AIGP exam with a stronger sense of structure, purpose, and control.
Episodes
The newest 20 of 59 episodes
- Welcome to the AIGP Course! · 1 minWelcome to The Bare Metal Cyber AIGP Audio Course—your practical companion for preparing for the IAPP Artificial Intelligence Governance Professional (AIGP) certification. Built…
- Episode 58 — Synthesize Development and Deployment Governance into One Defensible Decision-Making Framework · 20 min · Episode 58This episode brings the full course together by showing how development governance and deployment governance should operate as one connected decision-making framework rather than…
- Episode 57 — Establish External Communication Plans and Deactivation or Localization Controls for AI · 18 min · Episode 57This 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…
- Episode 56 — Document Incidents and Post-Market Monitoring While Reducing Secondary Uses and Downstream Harms · 18 min · Episode 56This episode focuses on the governance work that follows deployment when organizations must document incidents, sustain post-market monitoring, and control how AI systems are…
- Episode 55 — Verify Deployed AI with Audits, Red Teaming, Threat Modeling, and Security Testing · 19 min · Episode 55This episode explains how deployed AI systems should be verified through deliberate assurance activities that test more than routine business performance. You will learn how…
- Episode 54 — Conduct Ongoing Monitoring, Maintenance, Updates, and Retraining After Deployment · 18 min · Episode 54This 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…
- Episode 53 — Apply Governance Controls to Deployment Through Data, Risk, Issue, and User Training · 18 min · Episode 53This 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…
- Episode 52 — Understand the Unique Risks, Opportunities, and Obligations of Deploying Proprietary AI · 18 min · Episode 52This episode focuses on proprietary AI systems, which can offer performance, customization, or competitive advantage while also creating governance demands that differ from open…
- Episode 51 — Evaluate Vendor Contracts and Licensing Terms Before You Deploy AI · 18 min · Episode 51This episode explains why AI governance must include careful review of vendor contracts and licensing terms before deployment, because legal and operational exposure often hides…
- Episode 50 — Assess Selected AI Systems with Focused Impact Reviews Before Deployment · 17 min · Episode 50This 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…
- Episode 49 — Choose Deployment Options Across Cloud, On-Premise, Edge, Fine-Tuning, RAG, and Agentic Architectures · 18 min · Episode 49This episode explains how deployment architecture shapes governance by affecting data exposure, control boundaries, latency, integration complexity, and responsibility…
- Episode 48 — Compare AI Model Types Before Choosing What Your Organization Will Deploy · 19 min · Episode 48This episode focuses on comparing model types so organizations choose an approach that fits the use case, risk profile, explainability needs, and operational environment instead…
- Episode 47 — Evaluate Deployment Context, Business Goals, Ethics, Data, and Workforce Readiness · 17 min · Episode 47This 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…
- Episode 46 — Review AI Development Governance from Impact Assessments to Public Disclosures · 18 min · Episode 46This episode pulls together the development lifecycle by showing how governance starts with early impact assessments and continues through design reviews, testing evidence…
- Episode 45 — Meet Transparency Duties with Technical Documentation, Instructions, and Monitoring Plans · 19 min · Episode 45This episode explains how transparency becomes operational through documentation, user-facing instructions, and monitoring plans that make an AI system understandable enough to…
- Episode 44 — Investigate AI Incidents with Cross-Functional Teams Tracing Drift, Data Gaps, and Brittleness · 18 min · Episode 44This 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…
- Episode 43 — Assess Production AI After Release with Audits, Red Teaming, Threat Modeling, and Security Testing · 19 min · Episode 43This 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…
- Episode 42 — Build Continuous Monitoring, Maintenance, Updates, and Retraining Rhythms for Released AI · 17 min · Episode 42This 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…
- Episode 41 — Assess Release Readiness with Model Cards and Conformity Requirements · 17 min · Episode 41This 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…
- Episode 40 — Manage Training and Testing Issues While Documenting Results for Compliance · 17 min · Episode 40This episode explains how organizations should handle problems discovered during training and testing without losing traceability or governance discipline. You will learn why…







