Expired Course: AI Governance: Strategy, Policy & Responsible Deployment

Ensure ethical, compliant, secure AI with governance, risk controls, transparency, fairness and regulatory best practice

EXPIRED

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AI Governance: Strategy, Policy & Responsible Deployment
EXPIRED

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

Who This Course is For

  • 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

Your Instructor

School of AI

AI Academy

4.4 Instructor Rating

10,201 Reviews

360,074 Students

93 Courses

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