Free AI Governance Course
AI Governance and Responsible AI
Learn AI governance online with responsible AI, risk, fairness, privacy, policies, audits, and accountability. Join this free AI governance course to manage AI use responsibly.
About this course
This free online AI governance course explains how organizations can use AI with clearer rules, roles, and safeguards. You will learn AI governance, stakeholders, ethical harms, human oversight, the business case for responsible AI, global AI regulations, sector rules, cross-border risks, fairness, bias, transparency, privacy by design, accountability, robustness, inclusive design, and practical requirements.
The training also covers AI risk assessment, impact assessment, model risk management, vendor risk, scoring, documentation, data quality, consent, sensitive data, access control, policy design, approval gates, training, monitoring, audit trails, drift, incident management, redress, reporting, generative AI, agentic AI, intellectual property, provenance, sustainability, and career paths. By the end, you can discuss responsible AI choices and help structure a basic governance program.
Course outline
AI Governance & Ethics
This module covers the issue of AI governance, stakeholders, ethics, harm, human oversight, and the business case for responsible AI.
Navigating the Global AI Regulatory Landscape
The areas covered by this module include international AI regulation and standards, AI regulations by sectors, and the cross-border risks associated with these AI regulations.
Translating Ethics into Responsible AI Practice
This module covers issues relating to fairness, bias, transparency, privacy by design, accountability, robustness, inclusive design, and how to operationalize these into requirements.
Assessing and Managing AI Risk
This module covers the risks involved with AI, assessment of impact, fundamentals of model risk management, vendor risk, scoring, and documentation.
Governing the Data Behind AI Systems
This module addresses data quality, consent, sensitive data, AI lifecycle management, access control, data policies, and AI governance.
Designing an Organizational AI Governance Program
Topics that you will learn in this module include program structure, ethics committee, roles, development of AI policy, documentation, approval gates, training, and AI governance.
Auditing and Sustaining AI Accountability
In this module, you will be able to understand the approaches used in monitoring; audit trail; internal and external auditing; drift; incident management; redress; reporting; and creating an accountability culture.
The Future of AI Governance and Ethics
In this module, you will be taught about the challenges posed by generative and agentic AI; intellectual property and provenance; harmonization; workforce impacts; sustainability; careers; and road mapping.
Get access to the complete curriculum once you enroll in the course
Frequently Asked Questions
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