Faculty
Artificial intelligence is transforming the world, enabling organizations of all sizes to grow, innovate, and make smarter decisions. Stanford Online can equip you with a deep understanding of the principles, tools, and technologies driving this transformation.
Our online graduate and professional programs provide the foundational and advanced skills you need to accelerate your career in AI, including machine learning, reinforcement learning, neural networks, and natural language processing and understanding. All courses are taught by renowned Stanford faculty who are helping to shape the future of AI.
Popular Courses Include:
- Machine Learning
- Natural Language Processing
- Deep Multi-Task & Meta Learning
- Artificial Intelligence Principles & Techniques
- Deep Generative Models
- Reinforcement Learning
Why Choose Stanford Online?
Learn from the Best
All courses are taught by world-class Stanford faculty.
Take Courses Online
Learn on your schedule, anytime, anywhere.
Customize Your Learning Journey
Choose courses based on your personal interests and goals.
Earn a Stanford Credential
Pursue a graduate or professional certificate.
Popular Courses
Natural Language Processing with Deep Learning
Explore fundamental concepts of NLP and its role in current and emerging technologies. Gain a thorough understanding of modern neural network algorithms for the processing of linguistic information.
Machine Learning
In this broad introduction, learn about both supervised and unsupervised learning as well as learning theory, reinforcement learning and control. Explore recent applications of machine learning and design and develop algorithms for machines.
Machine Learning with Graphs
Explore the computational, algorithmic, and modeling challenges specific to the analysis of massive graphs. Master machine learning and data mining techniques that can improve prediction and reveal insights on a variety of networks.
Natural Language Understanding
Learn to develop systems and algorithms for robust machine understanding of human language. Explore the creation of word vectors, relation extraction, and natural language inference and complete the course with an original project.
Artificial Intelligence in Healthcare
Examine the ways that AI is transforming patient care and diagnostics. Delve into the current and potential future applications of AI in healthcare with the goal of bringing AI technologies into the clinic safely and ethically.
Graduate or Professional Program - which is right for you?
Time Commitment
Achievement
Learning Supports
Cost
Graduate Certificate Courses
90–120 hours per course
Earn up to 18 units of academic credit that may contribute to a certificate or a degree
Faculty office hours, graduate Course Assistants, student message forum
$$$$
Professional Certificate Courses
80–120 hours per course
Earn a certificate and professional education units
Industry-oriented Course Facilitators, online community of peers
$$
Interested in Artificial Intelligence? Check out these online certificate programs:
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Featured Faculty
Christopher Manning
Professor of Computer Science
Professor of Linguistics
Director of Stanford Artificial Intelligence Lab
Percy Liang
Associate Professor of Computer Science
Associate Professor of Statistics
Christopher Potts
Professor and Chair, Department of Linguistics
Professor of Computer Science
Dorsa Sadigh
Assistant Professor of Computer Science
Assistant Professor of Electrical Engineering
What do learners say about our courses?
"Thanks to this course I now have a much deeper understanding of the math behind classic machine learning algorithms. Metaphorically speaking, before the course I knew only Newtonian mechanics, but now I am aware of the theory of relativity."
– Olga G., Senior Machine Learning Engineer
“This course presented a very high level of content, and totally changed my perspective of working with AI. Currently, I'm applying the concepts learned in my company and amazed by the results. I recommend the course to everyone who works or wants to work with AI.”
– Mateus B., Data Scientist
“The course exceeded my expectations in every aspect. The coding assignments were meticulously crafted, providing a hands-on experience that solidified theoretical concepts. The mathematical proofs were quite challenging. The lecture videos were not only insightful but also presented in a clear and engaging manner, making complex topics accessible. The support from course facilitators was exceptional, with prompt responses and invaluable guidance. Overall, this course is a must for anyone seeking a comprehensive and well-supported journey into Reinforcement Learning.”
– Avik S., Principal Machine Learning Engineer
