Stanford University · Course
Reinforcement Learning (XCS234)
Reinforcement Learning (XCS234) is a Stanford Online professional course, the professional version of CS234, on training autonomous systems to make smart decisions, used from robotics to healthcare. It is taken online with live elements and leads to a Certificate of Achievement.
Who it suits
- Working engineers who want a Stanford course without applying to a graduate programme.
- Learners building toward the Artificial Intelligence Professional Program.
What it covers
- The core challenges and approaches in reinforcement learning, including generalisation and exploration.
- Written and coding assignments on the basics of reinforcement learning.
- Deep reinforcement learning.
Common questions about Reinforcement Learning (XCS234)
- How much time does it take?
- Stanford lists 10 to 15 hours a week, with course materials available for 90 days after the course ends.
- What do I get at the end?
- A Certificate of Achievement; Stanford says you need to complete the required assignments and score 70% or higher.
- Can I enrol any time?
- Enrolment is only open during set periods, so check the page for the current dates and whether the course is open.
More like this
Keep learning on Infrato
- Path: AI for software developers
- More from Stanford University: all Stanford University listings in the directory
- Explore all AI courses
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.