The skills that visual engineers need are: a solid foundation in mathematics and statistics. You must be able to draw profound conclusions from the data set and present them in an organized way. Good communication skills. I have previous experience in using machine learning and deep learning algorithms to solve complex real problems in computer vision. Understand image processing technology, image recognition, object detection and visual recognition. Understand the structure of deep learning neural network and its application in solving computer vision problems. Have the ability to program in programming languages such as R/Python/Matlab. In-depth understanding of data structures and algorithms.

Computer vision mainly covers many fields such as image processing and pattern recognition, and can be applied to many industries. With the rapid development of artificial intelligence technology, computer vision, as an important branch, has a very broad employment prospect.

Computer vision is a subject that studies how to make computers understand and analyze digital images or videos. Simply put, the goal of computer vision is to enable computers to process and understand visual information like humans. In order to achieve this goal, computer vision combines the theories and technologies in the fields of image processing, machine learning, pattern recognition and computational geometry. Computer vision is widely used in many fields and industries such as autonomous driving, medical image analysis, unmanned aerial vehicle, intelligent monitoring, virtual reality (VR) and augmented reality (AR). With the development of deep learning and neural network technology, computer vision has made many breakthrough achievements and brought great practical application value. In order to further implement the deployment requirements of "Opinions on Deepening the Reform of Talent Development System and Mechanism" issued by the Central Committee of the Communist Party of China and "Tenth Five-Year Development Plan for Digital Economy" issued by the State Council, we will further implement the strategy of strengthening the country through talents and the strategy of innovation-driven development, strengthen the construction of national digital talent team, and continuously promote the training and evaluation of artificial intelligence professionals' abilities. SJ/T 1 KLOC-0/805-2022, led by the Institute of Electronics Industry Standardization of the Ministry of Industry and Information Technology, was promulgated and implemented on July12022. According to this standard, the Institute of Electronic Industry Standardization of the Ministry of Industry and Information Technology, in conjunction with enterprises and institutions in the industry, has formulated a training plan for artificial intelligence professionals, and will hold the following certificate training arrangements in Beijing:

Computer Vision Processing Design and Development Engineer 202465438+1October 24-28-Beijing

Training objectives:

Professionals engaged in demand analysis, model construction and verification of computer vision application scenarios, design, delivery and operation and maintenance of corresponding computer vision products, and design, optimization, operation and maintenance, management and application of artificial intelligence systems.

Teaching method: theoretical study+practical operation

After the training, the professional department will organize the final exam.

Training teachers:

Teachers, doctors, professors and doctoral supervisors of Beijing Institute of Technology. At present, he is mainly engaged in machine learning, data mining and distributed system research.

Training certificate:

Students who pass the final exam of this training will be certified as "Artificial Intelligence Major" (intermediate level) issued by the Institute of Electronic Industry Standardization of the Ministry of Industry and Information Technology, which can be inquired in official website.

Certificate style: