AI Programs at Stanford Online
- Stanford Online offers various AI-related programs, including the AI Graduate Certificate, AI Professional Program, Machine Learning Specialization, Building AI-Enabled Organizations, AI and Healthcare, and free YouTube content and webinars.
- The AI Graduate Certificate is an accredited certificate that can be earned by completing four courses from a selection of graduate-level AI courses offered at Stanford University.
- Stanford offers a non-degree option called the Special Certificate in Computer Science (SCPD) that allows individuals to take Stanford courses and earn a Stanford transcript.
- Some Stanford master's degrees, including the AI specialization in the CS master's degree, are available online or part-time through the Honors Cooperative program.
AI Graduate Certificate
- The AI Graduate Certificate is suitable for individuals interested in trying out graduate school, enhancing their skills in a specific area of AI, or pursuing a credential beyond a single course but less than a master's degree.
- To earn the AI certificate, students must complete all required coursework within three years.
- Prerequisites for the AI certificate include an undergraduate GPA of 3.0 or higher, strong math background, and strong programming experience.
- The courses offered as part of the AI Graduate Certificate cover foundational concepts, robotics, natural language processing, and vision.
AI Professional Program
- The professional program is based on the AI graduate program but has some key distinctions.
- The professional program follows an instructor-paced format with structured assignments and deadlines but pre-recorded lectures.
- Taking three courses leads to a professional certificate in artificial intelligence.
- The professional courses are based on the graduate courses but adapted to be less intense, with optional material and fewer exams.
- The professional program is pass/no pass, with a 70% passing grade.
- The courses offered in the AI professional program are generally high-level foundational courses on key aspects of artificial intelligence.
- There are no expiration dates or limits on the number of classes that can be taken in the professional program, and students can structure their coursework as they wish.
- The professional program does not require a bachelor's degree, but students must meet the prerequisites for the graduate programs.
- Prerequisites include proficiency in Python, college calculus, linear algebra, and probability.
Application Process
- The application process involves creating an account on the Stanford website, submitting a non-degree option application, providing personal information and residency documents, and writing a statement of purpose.
- Applications are reviewed by the relevant department when students submit a request to enroll in a course.
- The application for the professional program is short and asks about the applicant's background, experience, and prerequisites.
- The application process does not require official transcripts or test scores.
Course Format and Schedule
- Online students follow the same academic calendar and course schedule as on-campus students and complete the same assignments, projects, and exams.
- Online students have access to recorded lectures, discussion boards, office hours, and other resources to engage with the course material and interact with the teaching team and classmates.
- The courses are offered online and do not require physical presence in the US.
- The courses are offered live, Pacific time, Tuesday through Friday.
- Recordings of the classes are posted on the learning management system (Canvas) after they are processed.
- There is no required sequence for taking the courses, but some recommendations are provided.
Exams and Grading
- There are no final exams and projects (except for XCS224N NLP with Deep Learning), but there are a mix of written and programming assignments.
- The graduate courses are graded, while the professional courses are pass/no pass.
- A passing grade requires 70%, providing additional flexibility compared to graduate courses.
Prerequisites
- Prerequisites for the graduate program are determined by the department, and students are encouraged to apply if they have taken similar courses at another university.
- A degree is not required to take courses in the AI professional certificate.
- Prerequisites typically include calculus through multivariable calculus, linear algebra, a strong programming background, and probability.
- Resources are available for building up foundational math and computer science knowledge.
Contact Information
- For further inquiries, contact the provided email address.
