Stanford University · Course
Demystifying Machine Learning and Generative AI (CSP-XTECH17)
Demystifying Machine Learning and Generative AI (CSP-XTECH17) is a non-technical Stanford Continuing Studies course, online, that explains machine learning, deep learning and generative AI through lectures, discussion and real-world examples, without advanced maths or coding.
Who it suits
- Professionals who want to talk with AI practitioners and judge the AI landscape without learning to code.
- People exploring a career move into or near AI.
What it covers
- Regression algorithms, building up to neural networks and deep learning.
- The foundations of today’s generative AI platforms such as ChatGPT and Claude.
- Newer areas such as agentic AI and AI safety.
- How to collaborate with AI practitioners and evaluate the evolving landscape.
Common questions about Demystifying Machine Learning and Generative AI (CSP-XTECH17)
- Do I need maths or coding?
- No. Stanford describes it as a non-technical introduction, without advanced maths or coding.
- How is it delivered?
- Stanford lists a 100% online format, with lectures and interactive discussions.
- Can I enrol any time?
- Enrolment is only open during set periods, and an application is needed for graduate courses, so check the page for the current dates.
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Where this comes from
Written from Stanford University’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Stanford University and this is not an endorsement.