Executive education · Dedicated AI or machine learning program
Professional Certificate in Machine Learning and Artificial Intelligence
UC Berkeley Executive Education · Online · provider based in United States
Currently offered, next intake unconfirmed · Hosted on Emeritus
- Award
- Professional Certificate in Machine Learning and Artificial Intelligence
- Subject
- Machine learning, Artificial intelligence
- Format
- Fully online6 months, online, 15-20 hours per week
- Price
- Not published
Platform-hosted
About this program
Six-month online program on ML/AI foundations, data analytics, deep neural networks, NLP and generative AI, finishing with a capstone project.
- School and department
- UC Berkeley Executive Education
- Subject or specialization
- Machine learning, Artificial intelligenceRecorded only where the official program page names it as a focus, not for individual modules.
- Teaching language
- English
Qualification and recognition
- Qualification
- Executive education
- Exact award
- Professional Certificate in Machine Learning and Artificial Intelligence
- Credential type
- Credential not statedThe official page does not say what credential is awarded.
- Academic credit
- Credit status not stated
- Awarding institution
- Not stated on the pages we checked
- Delivery platform
- Emeritus
- Access and price model
- Access terms not statedThe official page does not state the price model.
Structure and schedule
- Duration
- 6 months, online, 15-20 hours per week
- Delivery
- Fully onlineTaught entirely online. Check whether any in-person assessment is required before applying.
- Physical attendance
- Attendance requirement not 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
- Not published
- Weekly commitment
- 15–20 hours per week
- Required components (internships, residencies, exams, visits)
- Independent capstone projectShown separately from the teaching duration.
Admissions, prerequisites and intakes
- Programming
- Required
- Mathematics
- Required
- Prior degree
- Required
- Work experience
- Not stated
Applicants must have a bachelor's degree or higher, strong mathematical skills and some programming experience.
Stated audience: Experienced technical professionals, Graduates. Audience tags are recorded only where the official page says who the program is for. Missing entry requirements never mean “beginner friendly”.
- International applicants
- Not confirmed
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.
Tuition is not published on the pages we checked. That does not mean the program is free: ask the institution for current fees, equipment costs and any deposit or refund terms.
Curriculum, assessment and projects
As published by the provider. None of this guarantees employment, admission or professional certification.
- Curriculum
- Three phases from ML/AI foundations to advanced topics and emerging AI technologies, with a capstone project.
- Project or capstone
- an independent capstone project addressing a real-world ML/AI challenge
Sources and verification
Not published on the program’s source pages: price, schedule, dated intake or deadline.
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)