Stanford Online Machine Learning
AI & Data · 8 weeks (self‑paced, 10–15 hours/week) · Stanford University
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Course Overview
Algorithms, optimization, and real‑world ML applications including supervised learning (linear regression, logistic regression, neural networks), unsupervised learning (clustering), and best practices.
Basic computer science (programming) + linear algebra knowledge.
Key Takeaways
- 1Algorithms, optimization, and real‑world ML applications including supervised learning (linear regression, logistic regression, neural networks), unsupervised learning (clustering), and best practices.
Who Should Attend?
- Teams in Machine Learning
- Teams in Data Science
- Teams in Artificial Intelligence
- Teams in Research
About the Certificate
This programme aligns with the standards set by Stanford University. Delivery is by verified Skillware providers.
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FAQ
What language will the course be taught in?
Courses are delivered in English unless otherwise stated. A working professional level of English is recommended.
What formats are courses offered in?
Most programmes run as face-to-face classroom sessions, virtual live-instructor sessions, or in-house cohorts on-site for your team.
Are courses accredited?
Where the programme is accredited, the body is listed in the “About the Certificate” section above.
Are CPD points or PDUs provided?
Where the accreditation body issues CPD/PDU points, the certificate of attendance will state the eligible amount.
How can I register?
Click “Request training” at the top. A verified provider will reach out to confirm seats, schedule, and invoicing.
Are there group discounts?
Yes — discounts are available for cohorts of 3 or more from the same organization. Submit a quote request to see the group rate.