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IAPP AIGP Complete Training – AI Governance Mastery · LearnSpace
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IAPP AIGP Complete Training – AI Governance Mastery

Курс от Packt
Средний≈ 14.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Build practical AI governance knowledge while preparing for the IAPP AIGP certification. Learn to evaluate AI risks, responsible AI principles, governance controls, and regulatory obligations. Begin with AI foundations, machine learning, governance frameworks, harms, privacy, ethics, and trustworthy AI. Then explore organizational governance, accountability, risk assessment, and the NIST AI Risk Management Framework. Next, follow AI systems across development and deployment, covering impact assessments, data governance, testing, monitoring, model cards, third-party risk, auditing, RAG, and agentic AI. Examine the EU AI Act alongside global laws and ISO standards. This intermediate course is designed for privacy, compliance, risk, legal, technology, and AI governance professionals. Basic familiarity with AI or technology concepts is helpful. By the end of the course, you will be able to evaluate AI risks, design governance controls, interpret major regulatory requirements, manage AI lifecycle risks, and apply responsible AI practices while preparing for the AIGP exam.

Навыки, которые вы освоите

Generative AI

Программа курса

8 модулей · 125 учебных материалов

01Foundations of Artificial Intelligence and AI Governance22 материалов

Course Introduction & AIGP Certification Overview

What Is the AIGP CertificationВидеоFull Course ResourcesЧтениеWhat Is Artificial Intelligence (AI)?ВидеоAI as a Socio-Technical SystemВидео

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Packt - Course Instructors

Преподаватель курса

IAPP AIGP Complete Training – AI Governance Mastery
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 14.1 ч

8 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Испанский, Японский

Часть программы вашего университета
Classifying AI Systems Using the OECD Five DimensionsВидео
Modern Drivers of AI and Data Science AdoptionВидео
Types of AI: ANI, AGI, and ASIВидео
AI Uses and Impacts: Value and OpportunitiesВидео
AI Use Cases and Benefits OverviewВидео
What Is AI Governance?Видео
A Comprehensive Approach to AI GovernanceВидео
Common AI Models ExplainedВидео
How AI Systems Are Trained: Machine Learning BasicsВидео
AI vs. Machine Learning vs. Deep Learning vs. Generative AIВидео
Types of Machine Learning ModelsВидео
Transformers, NLP, and Multimodal ModelsВидео
AI Model Relationships and Trade-OffsВидео
Expert Systems and Rule-Based AIВидео
AI Platforms and Common Organizational Use CasesВидео
Understanding the AI Technology StackВидео
Compute Infrastructure for AI SystemsВидео
Observability and Monitoring in AI SystemsВидео
02AI Impacts on People and Responsible AI Principles18 материалов

Domain I — Understanding the Foundations of AI Governance

Privacy Harms TaxonomiesВидеоHarm Taxonomies: How to Identify HarmsВидеоWho Is Affected by AI Harms?ВидеоIndividual Harms: Bias and DiscriminationВидеоOrganizational HarmsВидеоSecurity and Operational RisksВидеоPrivacy RisksВидеоBusiness Risks to the OrganizationВидеоOther Potential Risks From AIВидеоOECD Fair Information Practices GuidelinesВидеоOECD AI PrinciplesВидеоKey Ethical Issues for AIВидеоMitigating Ethical Risk: Foundational ControlsВидеоBuilding a Culture of Ethical AIВидеоTrustworthy AI: Characteristics and How to Achieve ItВидеоOperationalizing Responsible AI PracticesВидеоApplying Privacy Harms Taxonomies in AI GovernanceDIALOGUEAI Impacts on People and Responsible AI Principles - AssessmentЗадание
03Responsible AI Governance and Risk Management16 материалов

Domain 2 - Module 2: Laws, Standards, and Frameworks for AI

Tailoring AI Governance to the OrganizationВидеоAI Developers, Deployers, and UsersВидеоPolicies for Oversight and AccountabilityВидеоRoles and ResponsibilitiesВидеоSecuring Support From LeadershipВидеоGovernance Structures and ModelsВидеоEngaging Other StakeholdersВидеоTraining and Awareness for StakeholdersВидеоAligning AI and Risk StrategiesВидеоBuilding AI Assessment ProcessesВидеоRisk Assessment: Context and OutcomesВидеоRisk Scoring: Probability and Severity MatrixВидеоNIST AI Risk Management FrameworkВидеоNIST ARIA ProgramВидеоApplying the NIST AI Risk Management Framework in PracticeDIALOGUEResponsible AI Governance and Risk Management - AssessmentЗадание
04Governing AI Development: Lifecycle, Data, and Model Controls18 материалов

Domain 3 - Module 3: Risk, Accountability, and Impact Management

AI System Development Life CycleВидеоDefining the Business Problem and Use CasesВидеоDetermining the ScopeВидеоImpact AssessmentsВидеоStakeholder Engagement in DevelopmentВидеоTesting and Validation of the AI SystemВидеоManaging and Monitoring AI SystemsВидеоDocumentationВидеоCommunication PlanВидеоData Governance: Key Questions to AskВидеоData Lineage and ProvenanceВидеоData Gathering Considerations: Quality and FormatsВидеоWrangling and Preparing Data: The Five VsВидеоData Preparation Considerations and Privacy-Enhancing TechnologiesВидеоModel Features and Feature EngineeringВидеоModel Cards and Conformity DocumentationВидеоMapping the AI System Life Cycle: From Problem to RetirementDIALOGUEGoverning AI Development: Lifecycle, Data, and Model Controls - AssessmentЗадание
05Governing AI Deployment and Operational Risk18 материалов

Domain 4 - Module 4: Cybersecurity and Data Privacy Concerns

Evaluating and Updating Privacy and Security PoliciesВидеоUnderstanding Deployment RequirementsВидеоUnique Challenges for Proprietary AI ModelsВидеоManaging Third-Party RiskВидеоEvaluating Vendor and Open-Source AgreementsВидеоScenario: Jason Home FurnishingsВидеоPeriodic Assessment: Performance, Reliability, and SafetyВидеоMonitoring Risks, Mitigations, and Model DriftВидеоIncident Response and Downstream ConsequencesВидеоDisclosures and Transparency ObligationsВидеоManaging Incidents, Issues, and RisksВидеоAI Auditing and AccountabilityВидеоDeployment Choices: Cloud vs. On-Premises vs. EdgeВидеоModel Use Patterns: As-Is vs. Fine-TuningВидеоRetrieval-Augmented Generation in DeploymentВидеоAgentic AI and Agentic Architectures in DeploymentВидеоDeploying AI Systems Safely: Policies, Pilots, and ControlsDIALOGUEGoverning AI Deployment and Operational Risk - AssessmentЗадание
06The EU AI Act: Risk Classification, Obligations, and Compliance16 материалов

Overview: AI Governance Case Studies

EU AI Act Essentials for the AIGP ExamВидеоExemptions and Where the Act Does Not ApplyВидеоKey Terms: Provider, Deployer, Importer, and DistributorВидеоEU AI Act: Article 4 – AI LiteracyВидеоFour Risk Levels in the EU AI ActВидеоProhibited AIВидеоHigh-Risk AI: Provider and Deployer ObligationsВидеоHigh-Risk AI: Importer and Distributor ObligationsВидеоLimited-Risk AI and Article 50 Transparency ObligationsВидеоLow- and Minimal-Risk AIВидеоGeneral-Purpose AI Models and SystemsВидеоTechnical Documentation, Record-Keeping, and AssessmentsВидеоHuman Oversight, Transparency, and Quality ManagementВидеоEnforcement Framework and PenaltiesВидеоClassifying and Responding to AI Risk Under the EU AI ActDIALOGUEThe EU AI Act: Risk Classification, Obligations, and Compliance - AssessmentЗадание
07Other Laws and Standards Related to AI14 материалов

Final Course Summary and Key Takeaways

Global AI Regulation: Alignment and DissonanceВидеоFederal Guidance-First AI GovernanceВидеоState Privacy Rules and Automated Decision-MakingВидеоNYC Local Law 144: Bias Audits for Hiring ToolsВидеоIllinois AI Video Interview RulesВидеоColorado's Consumer Protection AI ModelВидеоCore Privacy Principles Applied to AIВидеоPractical Recommendations for Providers and DeployersВидеоSouth Korea's AI Basic LawВидеоISO/IEC 22989: AI Concepts and TerminologyВидеоISO/IEC 42001: AI Management SystemsВидеоISO/IEC 42005: AI Impact AssessmentsВидеоApplying AI Governance: From Global Alignment to ISO StandardsDIALOGUEOther Laws and Standards Related to AI - AssessmentЗадание
08Final Course Summary and Key Takeaways3 материалов
Final Course Summary and Key TakeawaysВидеоFull Course Practice AssessmentЗаданиеFull Course AssessmentЗадание