Certified AI Governance Professional

Certified AI Governance Professional

OVERVIEW

This course teaches professionals to develop, deploy, and manage trustworthy AI systems in alignment with legal, ethical, and policy frameworks. Key topics include understanding AI technology and lifecycle, implementing responsible AI principles, managing risks like bias and misalignment, and complying with current and emerging regulations. The goal is to equip individuals with the expertise to navigate complex AI risks and ensure AI is implemented safely, fairly, and accountably

LEARNING OUTCOME

  • AI Fundamentals: Establish a foundational knowledge of AI systems, their use cases, and societal impacts.
  • Responsible AI Principles: Comprehend and apply principles for developing AI that is ethical, safe, and fair.
  • Risk Management: Identify and manage risks associated with AI, such as bias, misalignment, and potential failures.
  • Legal & Policy Compliance: Understand how emerging and existing laws and policies apply to AI systems and govern their use. 
  • AI Lifecycle Governance: Comprehend the entire AI lifecycle, from development to deployment, and how to manage risks within each stage.
  • Governance Frameworks: Learn to utilize frameworks for governing AI effectively within an organization

Foundations of Artificial Intelligence:

  • Understanding basic AI concepts, history, and different types of AI models.
  • Exploring the AI technology stack and core elements of AI systems.

AI Impacts & Responsible AI Principles

  • Examining the positive and negative impacts of AI on people and society.
  • Learning principles of responsible AI, including accountability, fairness, and transparency.
  • Addressing ethical challenges, bias detection and mitigation, and privacy concerns.

AI Development Lifecycle

  • Charting the entire AI development process from planning and design to implementation and deployment.

Responsible AI Governance & Risk Management

  • Developing and implementing governance frameworks for AI.
  • Establishing risk assessment and mitigation strategies for AI systems.
  • Fostering accountability and oversight in AI-driven organizations.

Implementing AI Projects & Systems

  • Strategies for implementing ethical AI policies and practices within organizations.
  • Ensuring compliance with privacy and data protection regulations in AI applications.

Current AI Laws & Legal Compliance

  • Understanding how existing privacy laws and regulations apply to AI systems.
  • Navigating global AI regulations and legal frameworks.

Existing & Emerging AI Laws & Standards

  • Exploring current and evolving AI laws, standards, and guidelines.
  • Aligning AI practices with relevant ISO and IEEE standards.

Ongoing AI Issues & Concerns

  • Contemplating future ethical challenges and the socio-economic implications of AI.
  • Conducting ethical AI audits and assessments to ensure continuous compliance

REQUIREMENTS

  • Minimum of Bachelor’s Degree or equivalent in any discipline
  • Minimum of  Master’s degree in related fields like Leadership and Governance, and other related fields.
  • Minimum of at least 3-5 years in supervisory or managerial roles, public service or administration, institutional governance, or board participation.
  • Applicants must provide a completed CILG certification form, copies of academic certificates, an updated CV or résumé, a valid national ID, a passport-size photograph, and proof of work experience.

DURATION: 8 – 12 Months

MODE OF STUDY

  • Online training(Self-Paced or Instructor-Led)
  • Blended Learning (Online + Physical)
  • Classroom training
  • Self study