What you'll learn

AI systems are becoming increasingly complex and opaque, making it difficult for stakeholders to trust and understand their decisions. In this course, Introduction to Explainable AI, you'll learn to make AI systems transparent and trustworthy through explainable AI (XAI) techniques. First, you'll explore why explainability matters and identify key stakeholders who need AI explanations. Next, you'll discover how XAI works through understanding model types and explanation methods. Finally, you'll learn how to apply XAI in real-world scenarios, including business applications and regulatory compliance. When you're finished with this course, you'll have the skills and knowledge of explainable AI needed to implement transparent, trustworthy AI systems in your organization.