Young Professionals AI and Computer Science summer course in Oxford, by Bucksmore Education.
The course is intended to provide a comprehensive foundation in both artificial intelligence (AI) and computer science.
Students will gain a solid understanding of AI concepts and techniques, as well as develop essential programming and problem-solving skills necessary for building intelligent systems.
The course will foster creativity and innovation by encouraging students to explore and develop their own AI projects. Students will develop knowledge of using programming software such as Java and Python and explore different approaches in machine learning.
The real-world Capstone industry project provides students with an opportunity to leverage the Unity platform.
On completion of the course and submission of the final projects the students will receive a Certificate of Completion and a written assessment of their project.
The addition of an exciting and varied activity and excursion programmes embedded in the timetable, ensures students will have a well-rounded and powerful two weeks studying on the Young Professionals AI and Computer Science course.
You'll be staying in d'Overbroeck's, a remarkable independent school in Oxford. Teaching will take place in the modern Sixth Form building which provides contemporary classrooms, auditorium and numerous social spaces, making it the ideal location for the Young Professionals programme. Multiple boarding houses are situated close by to the school.
Aside from the all-important academic side of life at Bucksmore Education, all programmes are designed to ensure cultural enrichment and a large dose of fun! Students partake in a range of events, on-campus sports and activities, as well as exciting excursions to popular UK cities and tourist landmarks. You might explore London's famous sights such as Big Ben and the London Eye, experience a private tour of Oxford or Cambridge University, or enjoy a quintessentially British seaside experience!
Develop knowledge of reading, writing and debugging code using programming software such as Java and Python • Learn systematic approaches to problem solving, including analysis techniques and how to implement data structures and code problems in a way that computers can understand and process. • Explore different approaches in machine learning and developing an understanding of stochastic algorithms, game theory, automated theorem proving, computer and human learning, and more.