Certified: The IAPP AIGP Audio Course
Jason Edwards
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Welcome to the AIGP Course!
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…
Episode 58 — Synthesize Development and Deployment Governance into One Defensible Decision-Making Framework
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…
Episode 57 — Establish External Communication Plans and Deactivation or Localization Controls for AI
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,…
Episode 56 — Document Incidents and Post-Market Monitoring While Reducing Secondary Uses and Downstream Harms
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…
Episode 55 — Verify Deployed AI with Audits, Red Teaming, Threat Modeling, and Security Testing
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…
Episode 54 — Conduct Ongoing Monitoring, Maintenance, Updates, and Retraining After Deployment
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…
Episode 53 — Apply Governance Controls to Deployment Through Data, Risk, Issue, and User Training
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…
Episode 52 — Understand the Unique Risks, Opportunities, and Obligations of Deploying Proprietary AI
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…
Episode 51 — Evaluate Vendor Contracts and Licensing Terms Before You Deploy AI
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…
Episode 50 — Assess Selected AI Systems with Focused Impact Reviews Before Deployment
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…
Episode 49 — Choose Deployment Options Across Cloud, On-Premise, Edge, Fine-Tuning, RAG, and Agentic Architectures
This episode explains how deployment architecture shapes governance by affecting data exposure, control boundaries, latency, integration complexity, and responsibility allocation. You will learn how…
Episode 48 — Compare AI Model Types Before Choosing What Your Organization Will Deploy
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…
Episode 47 — Evaluate Deployment Context, Business Goals, Ethics, Data, and Workforce Readiness
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…
Episode 46 — Review AI Development Governance from Impact Assessments to Public Disclosures
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,…
Episode 45 — Meet Transparency Duties with Technical Documentation, Instructions, and Monitoring Plans
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…
Episode 44 — Investigate AI Incidents with Cross-Functional Teams Tracing Drift, Data Gaps, and Brittleness
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…
Episode 43 — Assess Production AI After Release with Audits, Red Teaming, Threat Modeling, and Security Testing
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…
Episode 42 — Build Continuous Monitoring, Maintenance, Updates, and Retraining Rhythms for Released AI
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…
Episode 41 — Assess Release Readiness with Model Cards and Conformity Requirements
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…
Episode 40 — Manage Training and Testing Issues While Documenting Results for Compliance
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…
Frequently Asked Questions
Certified: The IAPP AIGP Audio Course has published 59 episodes since April 2026, covering topics in Courses, Education.
Certified: The IAPP AIGP Audio Course is currently dormant with new episodes hourly. Average episode length is 17m.
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