Continual Learning: On Machines that can Learn Continually
A University of Pisa, ContinualAI and AIDA Doctoral Academy Course
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A University of Pisa, ContinualAI and AIDA Doctoral Academy Course
Last updated
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Learning continually from non-stationary data streams is a fascinating research topic and a fundamental aspect of Intelligence. At , in conjunction with the and the , we are proud to offer the first open-access course on Continual Learning. Anyone from around the world can join the class and learn about this fascinating topic, completely for free!
The course will follow a mixed in-person / virtual modality and recorded lectures will be uploaded on the account (and remain available on Youtube for async views). However, if you want to actually be enrolled in the course, interact in class and get a certificate of attendance you need to follow the procedure described .
Please note that the certificate of attendance is only released after a project-based exam to be agreed with the course instructor.
You can check out the official course structure (8 lectures + 2 invited talks), the class timetable and other relevant details about the course in the section below:
In order to officially enroll in this course, hence being able to participate and interact in class, you need to register through the form below (you'll be contacted soon with more instructions if you already complected the enrollment).
Enrollments for the 2021 course are now closed. You can still follow the recorded lectures on YouTube in the official !
