SDAIA Launches AI Application Engineering Camp with Oxford University

The Saudi Data and Artificial Intelligence Authority (SDAIA) has joined forces with Oxford University to launch a groundbreaking artificial intelligence application engineering camp. This initiative seeks to empower Saudi and international graduates with advanced skills in AI, aligning with the Kingdom's ambitious digital transformation goals outlined in Saudi Vision 2030. The eight-week program, open to graduates in AI, computer science, and related fields, will provide a comprehensive learning experience, covering advanced AI sciences, computer vision, deep learning, and generative models.

Key Takeaways:

  • The camp is an eight-week intensive program, open to bachelor's and master's degree holders in AI, computer science, and related disciplines.
  • The curriculum will cover advanced AI sciences, computer vision, deep learning, and generative models, with a focus on practical application.
  • Participants will gain hands-on experience in designing and developing AI models using Python, TensorFlow, and PyTorch, and will work on advanced projects in natural language processing and computer vision.
  • The program will use industry-standard tools like YOLO and Hugging Face to create and deploy real-world technical solutions.
  • The camp will adopt a flexible two-phase educational model, beginning with distance learning before transitioning to an in-person phase at Oxford University.
  • Registration for the camp is open from August 13 to 14, 2025.
  • The program supports the Kingdom's digital transformation goals and the targets of Saudi Vision 2030.

Statistics:

  • The camp is an eight-week program.
  • The curriculum will cover advanced AI sciences, including computer vision, deep learning, and generative models.
  • Participants will gain hands-on experience in designing and developing AI models using Python, TensorFlow, and PyTorch.
  • The program will use industry-standard tools like YOLO and Hugging Face to create and deploy real-world technical solutions.
  • The range of projects in natural language processing and computer vision.