Artificial intelligence (AI) is a transformative technology and a modern day equivalent to fire in the early stages of human civilization. Organizations can use AI to solve complex problems, automate tasks, make predictions, and even boost human creativity. However, like fire, AI also carries significant risks when misused. This is a practical, fundamentals of AI in business course designed for students who want to lead and consult on the deployment of AI systems in organizations, manage data science and software teams, or build and invest in AI companies. You will learn the conceptual foundations for how AI uses machine learning with neural networks to help computers see (computer vision), talk and write (large language models), and learn by trial and error (reinforcement learning). Moreover, you will build intuition for what AI can (and cannot yet) and discover where AI delivers value across industries but also where it fails spectacularly by examining a series of business applications, real-world examples, ethical considerations, and evaluation frameworks. This course is an interactive lecture-based course with four interrelated individual assignments and a final. The course is continually updated with the latest science and industry insights and is based on the first five weeks of Professor Groh's 2024 and 2025 Human and Machine Intelligence MORS950 course. The goal is to set you on your way to leading AI adoption in any organization and being equipped for AIML950, which dives deeper into how humans and AI interact, what that means for leadership and organizations, and how to successfully adopt AI in organizations.