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Learn Artificial Intelligence, earn certificates with free online courses from Harvard, Stanford and other top universities around the world. Read reviews to decide if a class is right for you.
We've picked the best online courses to learn Ai from the Class Central catalog.
Some courses are concise and get you up to speed in no time, others will be more comprehensive.
H-EDUCATE's short program delves into AI, NLP, GPT, and prompt engineering, offering practical examples and essential terminologies.
This course explores how the advances in artificial intelligence can and will transform our economy and society in the near future. You will hear insights from esteemed AI researchers and industry leaders in technology, economics, and business. The cur…
Stanford University's 39-week course explores AI's potential in healthcare, offering insights for both healthcare providers and computer science professionals. Includes CME accreditation.
Stanford's 5-week course on Probabilistic Graphical Models, focusing on learning from data sets. Covers parameter estimation, structure learning, and includes hands-on assignments.
Stanford University offers a short program exploring AI's role in optimizing clinical trials and precision medicine, with a focus on cancer therapies. Learn from postdoctoral researcher, Ruishan Liu.
Explore the intersection of technology and society with this 26-week course from UC Davis. Learn to use computational tools to understand human behavior, study digital footprints, and simulate hypothetical scenarios.
Explore graph-based modeling in computational pathology with Stanford's Siyi Tang. Learn about convolutional neural networks, cellular interactions, and spatial structures in under an hour.
In this talk, I will share insights about collaboration challenges at the AI-UX boundary and discuss approaches to operationalize the vision for human-centered AI.
Stanford University's seminar explores safety in autonomous systems, focusing on structured driving environments and unstructured scenarios. It delves into anomaly detection and failure identification.
Modern ML systems sometimes undergo qualitative shifts in behavior simply by “scaling up” the number of parameters and training examples. Given this, how can we extrapolate the behavior of future ML systems and ensure that they behave safely and are alig…
Explore AI ethics with Stanford University's seminar. Learn about fairness, accountability, transparency, explainability, and human rights in AI development in under an hour.
Explore the future of human-computer evolution with Stanford University's seminar on Scalable Intelligent Systems. Learn to integrate people, communications, and computers into a cooperative environment.
In this talk, Wen-mei Hwu presents on recent progress in building highly performant AI task libraries, creating full AI applications, providing AI application development tools, and prototyping the Erudite system at the IBM-Illinois C3SR.
Explore the workings of Leela, a semantic AI agent, in this Stanford University seminar. Learn about her design, see her in action, and understand her ability to formulate and explain plans.
Understand Artificial Intelligence, its principles and techniques with this Standford engineering course.
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