10 courses

47 courses · Carnegie Mellon University · Fall 2026

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10 202 — Introduction to Modern AI
1 section
10 301 — Introduction to Machine Learning
1 section
10 315 — Introduction to Machine Learning (SCS Majors)
1 section
10 335 — Art and Machine Learning
1 section
10 403 — Deep Reinforcement Learning & Control
1 section
10 405 — Machine Learning with Large Datasets (Undergraduate)
1 section
10 414 — Deep Learning Systems: Algorithms and Implementation
1 section
10 417 — Intermediate Deep Learning
1 section
10 418 — Machine Learning for Structured Data
1 section
10 422 — Foundations of Learning, Game Theory, and Their Connections
1 section
10 423 — Generative AI
1 section
10 424 — Bayesian Methods in Machine Learning
1 section
10 425 — Introduction to Convex Optimization
1 section
10 500 — Senior Research Project
1 section
10 520 — Independent Study
1 section
10 600 — Mathematical background for Machine Learning
1 section
10 601 — Introduction to Machine Learning
1 section
10 605 — Machine Learning with Large Datasets
1 section
10 606 — Mathematical Foundations for Machine Learning
1 section
10 607 — Computational Foundations for Machine Learning
1 section
10 608 — Conversational Machine Learning
1 section
10 613 — Machine Learning Ethics and Society
1 section
10 617 — Intermediate Deep Learning
1 section
10 618 — Machine Learning for Structured Data
1 section
10 623 — Generative AI
1 section
10 625 — Introduction to Convex Optimization
1 section
10 643 — Socio-technical Evaluations of Generative AI
1 section
10 701 — Introduction to Machine Learning
1 section
10 702 — Statistical Machine Learning
1 section
10 703 — Deep Reinforcement Learning & Control
1 section
10 707 — Advanced Deep Learning
1 section
10 708 — Probabilistic Graphical Models
1 section
10 714 — Deep Learning Systems: Algorithms and Implementation
1 section
10 715 — Advanced Topics in Machine Learning
1 section
10 716 — Advanced Machine Learning: Theory and Methods
1 section
10 725 — Optimization for Machine Learning
1 section
10 735 — Responsible AI
1 section
10 737 — Creative AI
1 section
10 743 — Socio-technical Evaluations of Generative AI
1 section
10 745 — Scalability in Machine Learning
1 section
10 777 — Historical Advances in Machine Learning
1 section
10 805 — Machine Learning with Large Datasets
1 section
10 806 — Foundations of Machine Learning and Data Science
1 section
10 807 — Topics in Deep Learning
1 section
10 822 — Presentation Skills
1 section
10 830 — Machine Learning in Policy
1 section
10 831 — Special Topics in Machine Learning and Policy
1 section

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