This course is designed for students and professionals in psychology, medicine, and other clinical disciplines who want to explore how AI is transforming mental health care in practice.

Building on foundational AI concepts, you will examine how clinical decision-making is evolving, from early statistical models to modern AI systems, and what research tells us about their accuracy compared to human judgment. You will then explore how AI can expand mental health assessments, including how language-based approaches can measure, describe, and differentiate between psychological states in ways traditional rating scales cannot. Finally, you will discover how AI can support treatment selection and personalization through precision mental health approaches, and how it is beginning to be integrated into psychotherapy delivery. Throughout, you will encounter perspectives from patients, clinicians, and researchers, and be encouraged to critically reflect on the opportunities and risks of applying AI in real clinical settings. By the end of this course, you will be equipped to evaluate how AI tools can realistically enhance, and potentially transform, mental health assessment and treatment.