Requirements

• No prior AI or machine learning experience is required,Basic understanding of technology
• business
• or digital products is helpful but not mandatory,Suitable for product owners
• managers
• business leaders
• designers
• analysts
• and curious beginners,No coding or programming knowledge is needed for this course,A willingness to think critically about AI systems
• fairness
• trust
• and decision-making,Interest in responsible AI
• AI governance
• product strategy
• or ethical technology leadership,Access to a computer and internet connection for viewing lessons and course materials,An open mindset for discussion
• reflection
• and real-world case analysis

Description

Who this course is for:

• Product Owners and Product Managers working on AI-powered products and digital platforms,AI Product Leaders who want to build more trustworthy
• responsible
• and transparent AI systems,Business Leaders and Executives involved in AI strategy
• governance
• and decision-making,UX Designers and Researchers interested in fairness
• trust
• explainability
• and human-centered AI experiences,Data
• Risk
• and Governance Professionals looking to understand ethical AI challenges and operational risks,Developers and Technical Professionals who want a stronger understanding of AI ethics beyond coding and models,Startup Founders building AI products and looking to avoid trust
• bias
• and governance failures early,Students
• researchers
• and AI enthusiasts who want practical knowledge of ethics
• bias
• accountability
• and responsible AI leadership