Artificial Intelligence and Machine Learning I

12 units · Undergraduate

Fall and Spring: 12 units This course provides an integrated introduction to artificial intelligence and machine learning that bridges core AI methods with modern approaches. Students develop both theoretical mastery and practical expertise by combining foundational concepts with the construction of influential AI systems. The curriculum covers foundational materials in search, machine learning, reinforcement learning, and probability. Students then build on these to construct detailed implementations of landmark AI systems such as AlexNet, GPT-2, and AlphaZero. This rigorous approach develops the analytical skills needed to build the future AI. Finally, as an essential component, this course will address the ethics and responsible development of AI/ML technology and products. The course emphasizes both technical excellence and ethical considerations in AI development. It serves as the foundation for 07-380 Artificial Intelligence and Machine Learning II, which explores advanced topics, research methods, and specialized applications. Prerequisites: ( 15-122 Min. grade C or 15-121 Min. grade C) and ( 18-202 Min. grade C or 21-254 Min. grade C or 21-241 Min. grade C or 21-240 Min. grade C) and ( 21-127 Min. grade C or 15-151 Min. grade C or 21-128 Min. grade C) Course Website: https://www.cs.cmu.edu/~07280/