Name: AI Governance: Strategy, Policy & Responsible Deployment
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What You'll Learn

Apply AI governance frameworks to ensure ethical, compliant, and risk-aware deployment of AI across enterprise environments.
Identify, assess, and mitigate fairness, transparency, privacy, and security risks throughout the AI lifecycle.
Implement governance tools and workflows, including documentation, approval gates, and continuous monitoring with watsonx.governance.
Develop organizational playbooks and reporting structures that demonstrate accountability to executives, auditors, and regulators.
Classify AI systems by risk tier and enforce proportional controls that meet regulatory and ethical requirements.
Design human-in-the-loop oversight and escalation workflows to ensure safety and prevent harmful automated decisions.
Lead enterprise-wide governance adoption through effective change management, policy integration, and stakeholder alignment.

Requirements

No prior AI governance experience required — we start from the foundations
A basic understanding of how AI or machine learning systems are used in real business contexts
Familiarity with organizational roles (product, data, legal, compliance) is helpful but not mandatory
Interest in topics like responsible AI, ethics, policy, or operational risk management
Curiosity and a willingness to explore how AI impacts organizations and society
Access to a laptop/desktop computer and standard internet connection
(Optional) Exposure to enterprise AI or analytics projects will enhance learning but is not required

Product managers and business leaders guiding AI-powered initiatives
Compliance, legal, and risk management professionals adapting to new AI regulations
Data and AI practitioners who must align technical decisions with responsible governance
IT, security, and operations teams ensuring safe and reliable model deployment
Executives and program managers establishing enterprise AI strategies and policies
Anyone looking to advance their career by mastering responsible and trustworthy AI practices

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