On this course you'll learn about cutting-edge topics in machine learning technology, including:

recent advances in machine learning theory, algorithms and applications

issues such as privacy, fairness and ethics in artificial intelligence

Weekly seminars will be delivered by high-profile academics, experts from industry and other stakeholders in machine learning technology.

During the course you'll maintain an up-to-date blog on a chosen topic.

Course content

Representative topics that will be covered include:

• Beyond von Neumann architectures for machine learning
• Machine learning advances in speech recognition, translation
• Machine learning advances in natural language processing
• Machine learning advances in computer vision
• Machine learning in healthcare
• Machine learning in fintech
• Ethics of artificial intelligence
• Artificial intelligence infrastructure
• Dates, assessment and certificates

Classes will be 2 hours long and held on Mondays, for 9 weeks.

Teaching will take place in person with some materials available online.

You'll be assessed on the quality, comprehensiveness and timeliness of the contents of a blog on advances in a chosen topic, which you'll update throughout the course.

If you complete the course but not the assessment, you'll receive a certificate of attendance.

If you complete and pass the assessment, you'll get a certificate stating this, which includes your pass level.

The course will be taught in person at the Department of Electronic and Electrical Engineering, UCL, Roberts Building, London,  WC1E 7JE.

Cost: £1,500