"Machines" and "Kaost" launches a training program for artificial intelligence in Saudi Arabia

The company “AWAT”, which is associated with the Public Investment Fund, in collaboration with King Abdullah University of Science and Technology (Kaost), has launched the ‘AWAT caste training on artificial intelligence’ training, which extends for an eight-week period. Intensive artificial intelligence program is designed for outstanding Bachelor’s degree holders, or those near the graduation ceremony, in the field of science and engineering in the kingdom. The qualified male and female applicants are selected for the program, which runs from June 23 to August 3, by a joint committee of ‘Machines’ and ‘Kaost’. Over the course of six weeks of class education, followed by online guidance, and the effectiveness of ‘hackathon’ for innovation and generation of ideas over the past week, students will acquire knowledge and assimilation of deep learning concepts and instruments; They will also gain advanced skills in the field of ‘computer vision’, including semantic retail, identifying ingredients in photos and video classification. They will also develop effectiveness in supplemented learning algorithms, such as dynamic program, policy repetition and repetition methods. Refined talents at the end of the joint training program for artificial intelligence between ‘machines’ and ‘Kaost’, which also includes training camps at the prestigious Lady Margaret Hall College at Oxford University, the participants will be well equipped to address artificial intelligence projects related to computer vision, improved learning, Intelligence applications. Amit Mida, CEO of “AWAT”, responsible for converting the kingdom into a global industrial center, noted that “collaboration with King Abdullah University of Science and Technology in this program that covers advanced technologies in the field of computer vision, and the latest technologies in reinforced learning and robots will contribute to the Challenge, starting the start of the challenge, which starts to give the challenge to present the challenge of promoting the challenge to promote artificial intelligence on the ground.