The design of a system plays a crucial role in shaping users’ perception of trust within a socio-technical context. This perception can lead to overtrust, misuse, or distrust, which may negatively affect user well-being and limit system adoption. These concerns are especially relevant in high-risk domains, where inappropriate use of technology may result in negative consequences, harm or loss. Despite the growing body of work on trustworthy technologies, there is currently no generalised method for supporting appropriate trust perception or calibrating perceived trust. This gap is largely due to the multifaceted nature of trust and the complexity of user interaction within a socio-technical context. This course aims to address these challenges by exploring the design of trustworthy technologies through the following learning objectives: a) Understand definitions of trust and related concepts; b) Identify factors that influence propensity to trust technology; c) Explore methods to support appropriate trust perception; d) Apply theoretical knowledge in practice through hands-on exercise to addresses trust-related issues in user interface design for AI-embedded systems. The course is designed for a diverse audience interested in trustworthy design. While prior design experience will be beneficial, it is not a strict requirement. The hands-on component of the course will benefit from multidisciplinary collaboration and discussion.