The Artificial Intelligence 301 course is an advanced, year-three module designed to provide a comprehensive, 30-credit deep dive into the practical and ethical aspects of AI systems.  Building upon foundational knowledge, this course focuses on equipping students with the skills to manage, implement and integrate complex AI solutions in a professional context.  The curriculum is structured to cover everything from strategic project planning and advanced machine learning to the critical areas of ethical AI and systems integration, preparing students for real-world challenges. The learning approach is highly hands-on and project-based.  Students will begin by learning to plan and scope AI projects, defining clear business requirements and success metrics.  They will then apply state-of-the-art machine learning techniques and learn how to optimize models for performance.  A key focus is on integrating AI models into existing digital systems using APIs and databases, ensuring students can build complete, functional solutions.  The curriculum also dedicates an entire module to ethical AI and governance, addressing crucial topics like bias, fairness and compliance, which are vital for responsible AI deployment. The course culminates in a substantial, 10-credit AI Capstone Project, a final challenge that consolidates all the skills learned throughout the course. Students will design and implement a comprehensive AI solution to solve a real-world business problem, applying everything from data preparation and model building to ethical considerations and project documentation.  This capstone provides a significant opportunity to build a portfolio-worthy project and demonstrate mastery of the full AI development lifecycle, preparing students for a career in the field.