Graduate certificate · Dedicated AI or machine learning program
Artificial Intelligence Graduate Certificate
Stanford Online · Online · provider based in United States
Upcoming intake
- Award
- Stanford Graduate Certificate in Artificial Intelligence
- Subject
- Artificial intelligence, Machine learningPart time, Flexible
- Format
- Fully onlineFour graduate courses within 3 academic years; most students complete in 1-2 years
- Price
- $21,086whole program, not stated on page
About this program
Four-course online graduate certificate in AI principles and methods, with electives in areas such as NLP, vision, data mining and robotics.
- School and department
- Stanford Online
- Subject or specialization
- Artificial intelligence, Machine learningRecorded only where the official program page names it as a focus, not for individual modules.
- Teaching language
- English
Qualification and recognition
- Qualification
- Graduate certificate
- Exact award
- Stanford Graduate Certificate in Artificial Intelligence
- Credential type
- Academic award (non-degree)A certificate, diploma or microcredential issued by an academic institution, shown with its credit status.
- Academic credit
- Credit-bearing
- Awarding institution
- Stanford University
- Access and price model
- PaidPaid enrolment.
Stated by the providerWestern Association of Schools and Colleges Senior College and University Commission (WSCUC)Accreditation
Scope not stated in the source.
Structure and schedule
- Duration
- Four graduate courses within 3 academic years; most students complete in 1-2 years
- Delivery
- Fully onlineTaught entirely online. Check whether any in-person assessment is required before applying.
- Physical attendance
- No physical attendance required (verified)
- Where students can enrol
- Not stated on the pages we checkedThe institution is based in United States; eligibility to enrol may differ.
- Live or recorded
- Live and asynchronous
- Schedule
- Part time, FlexibleCourses are 10 weeks each, taken during open enrollment periods.
- Weekly commitment
- Average of 15-20 hours per week
- Required components (internships, residencies, exams, visits)
- One or two required courses (CS229 or CS221) and two or three electives.Shown separately from the teaching duration.
Source could not be re-checked automatically.
Admissions, prerequisites and intakes
- Programming
- Required
- Mathematics
- Required
- Prior degree
- Required
- Work experience
- Not stated
College-level calculus and linear algebra, probability, programming experience, and a bachelor's degree with a 3.0 GPA or better.
- Academic requirements
- Conferred bachelor's degree with undergraduate GPA of 3.0 or better; online application required before first course.
- International applicants
- Not confirmed
Intakes and deadlines
- Winter quarter 2027 (Jan 4 - Mar 19, 2027) for CS229 Machine Learning · open
Source could not be re-checked automatically.
Fees
Original currency is authoritative. Each fee keeps its basis (per term, per year, per credit, whole program) and the academic year it applies to and is never converted or added up for you.
| Item | Amount | Applies to | Dated |
|---|---|---|---|
| Tuition, lower bound of published range ($21,086 - $25,952)Tuition · mandatory | $21,086whole program, not stated on page | All students | 1 November 2026SourceSource could not be re-checked automatically. |
| Tuition, upper bound of published range ($21,086 - $25,952)Tuition · mandatory | $25,952whole program, not stated on page | All students | 1 November 2026SourceSource could not be re-checked automatically. |
Curriculum, assessment and projects
As published by the provider. None of this guarantees employment, admission or professional certification.
- Curriculum
- Required: Machine Learning (CS229) and/or AI Principles and Techniques (CS221); electives include NLP with deep learning, robotics, mining massive data sets and others.
Sources and verification
Sources and how this was checked
Last checked 1 November 2026. Each fact carries a verbatim quote that is re-checked against the live page. Research methodology.
Sources (checked 1 November 2026)