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Bridging neuroscience and artificial intelligence (AI) can provide novel insights to drive both fields forward. This course aims at using a project-based learning approach to engage the students with both a theoretical understanding as well as practical experience for cutting-edge applications in neuroscience and AI. The projects focus on the following topics: (1) basic concepts and principles human intelligence and AI, (2) introduction to machine learning, (3) practical workflows in designing and optimizing machine learning projects, (4) practical demonstration of the state-of-art deep learning models (e.g., convolutional neural network) and correlate with the biological mechanism (e.g., vision and object recognition), and (5) application of AI techniques in neuroscience, including examples in neuroimaging, next-generation sequencing data, in applications of personalized medical cares of disorders such as psychiatric diseases. The course will include curated datasets for each topic and hands-on practice to highlight the power and limitations/pitfalls of adopting AI technologies.