This transdisciplinary course will introduce student scholars and creative practitioners to accessible research tools and methods that are enabled by Artificial Intelligence (AI) techniques from beginner to advanced levels through project-based learning. A new generation of professionals are expanding the boundaries of research and creative practice by using artificial intelligence. Semantic analysis, social media API, computer vision, GPT-3 applications, virtual reinforcement learning, and agent-based modeling empower scholars to gain useful insights from a previously inaccessible domain. Pioneering designers are exploring new methodologies for professional practice using AI in combination with physics simulators for constraint-based computational modeling, and machine learning has been applied to streamline workflows and production technologies for mass customized design outcomes. Artists have explored a range of AI applications from the visual galaxies of historical semantic change based on billions of text to creating hypnotic and responsive media installations. This course explores the readiness for research and creative practice with AI more deeply across disciplines through applied learning and critical reflection. Advanced lessons will utilize the Rhino CAD program and Grasshopper plugin.