Search results
Expand your knowledge and unlock your potential with Stanford Online. You can study anywhere while you explore a lifetime of opportunities including free online courses, professional education, and credit-bearing programs & degrees. Find the right fit for you and your organization.
Our free online courses provide you with an affordable and flexible way to learn new skills and study new and emerging topics. Learn from Stanford instructors and industry experts at no cost to you.
Stanford Online offers learning opportunities via free online courses, online degrees, grad and professional certificates, e-learning, and open courses.
Stanford School of Medicine, Stanford Center for Health Education. Online, self-paced, Coursera - Enrollment Open. Course.
Take courses online and earn a professional certificate on your schedule. Enhance your skills, train for a new field, or prepare for advanced study. Set yourself apart in the workforce.
These courses and programs provide the foundational and advanced skills needed to accelerate your career in AI. Topics include machine learning, deep generative models, neural networks, and natural language processing and understanding.
Prepare for advanced study and move up in your industry with graduate education offered through Stanford Online. These rigorous credit-bearing, graduate-level courses are broadcast from the Stanford classroom, offering a flexible format for working professionals.
Flexible and convenient self-paced online business courses, with real-world case studies and personalized feedback on select assignments. Same-day access gives you the knowledge you want when you want it.
Enroll in top programs and courses taught online by Stanford University. Explore our catalog of courses developed by Stanford faculty and earn a certificate online.
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
