The 3 Week Responsible AI & Governance Certification is designed to help learners understand how to build, evaluate, manage, and govern AI systems in a way that is ethical, transparent, safe, and aligned with real-world business expectations. As organizations adopt artificial intelligence, generative AI, automation, and decision-support systems at a faster pace, the need for Responsible AI, AI governance, risk management, and compliance has become more important than ever.
This course begins with the foundations of AI ethics, exploring why responsible AI matters today across business, legal, and societal contexts. You will examine real-world AI failures and understand how poor design, weak oversight, biased data, and unclear accountability can lead to serious consequences. You will learn the major types of AI bias, including data bias, model bias, and human bias, and see where bias can enter the AI lifecycle from data collection to deployment.
