On March 20th, the fourth opening ceremony of AICA (Chief AI Architect Training Program), the flagship project of Baidu Flying Oar Academy, was held in Beijing. 60 new students attended the ceremony, marking the beginning of the growth journey of the new chief AI architect.
2021 is the first year of the “14th Five-Year Plan”. As an important starting point for economic transformation and upgrading and seizing the peak of global scientific and technological innovation, ARTIFICIAL intelligence will further usher in the development dividend period, and the demand gap of medium and senior composite AI talents in enterprises is becoming more and more obvious. For example, in the process of industrial intelligence development, there are few compound AI talents who can understand the needs of enterprises and understand both AI and industrial application. Therefore, Baidu’s chief AI Architect training program for high-end technical personnel emerged at the right moment. The program is dedicated to the training and delivery of “chief AI architects” integrating business, algorithm and architecture capabilities for The Chinese industry, and always leads the top standard of industrial compound AI talent training.
(Wu Tian, Vice President of Baidu Group, Vice Director of National Engineering Laboratory for Deep Learning and Applications, and Dean of The Academy of Flying OARS)
At the opening ceremony, Dean Wu Tian said in a speech: To truly integrate artificial intelligence and industry, we need to combine technology with core business issues in the industry. To do this, it is necessary to bridge the gap between technology and the scene, and to have a deep understanding of business logic and problems, as well as understanding of ARTIFICIAL intelligence technology, and fully combine new technology with the solution of original business problems. This is the problem that compound AI talents need to solve in today’s industry development process. Dr. Wang Haifeng, CTO of Baidu and Director of National Engineering Laboratory for Deep Learning Technology and Application, served as the general consultant. The original project resources of Huangpu University and the ecological resources of Flying Paddle were coordinated to set up flying Paddle Academy, releasing the potential energy of resources and further promoting the cultivation of compound AI talents.
Current AICA chief architect AI program (the former college of huangpu) through technical assessment, project opening report, review after the screening, finally admitted from manufacturing, energy, logistics, financial and other 60 enterprise in the industry of 13 students, their respective industry, background is to issue more scattered, but the focus of the business with AI to more specific depth; In addition, ctos and other senior technical managers account for 83% of the students, and the students’ background experience is also expanding horizontally towards more engineering boundaries.
(Opening Ceremony of the fourth Phase of Chief AI Architect Training Program of Baidu Feioar Academy)
At the opening ceremony, Ma Yanjun, senior director of Baidu Deep Learning Technology Platform Department and vice President of Teaching and Research of Flying Oar Academy, had an understanding of AI architects. AI architect is a new type of compound AI talents generated by the third AI boom represented by deep learning. The most essential driving factor of AI architect is the vigorous development of AI industrialization application. AI architects need to have three core competencies: the overall grasp of AI technology and development application processes, the ability to abstract business problems, and the ability to design and implement efficient and reasonable AI implementation solutions. In addition, AI architects should have comprehensive qualities, that is, they should have a strong AI technology influence on the technical team, and they should also be able to build an AI-centered technical system as a whole, and give full play to the role of AI technology in helping the business.
Baidu ecological AI technology department general manager, liu qian, vice President of the flying oar college educational administration introduces the chief architect AI cultivation plan of teaching plan, the length of schooling for half a year, each containing four offline closed core courses, some courses and activities, students taught by expert, project discussion, graduation reply all process, actively promote the enterprise AI project ground application. This issue continues the group learning mode, and continues the “three teachers’ teaching mode”, which is taught by architects, guided by senior engineers and tutored by teaching assistants. The whole course design simulates the whole process of the whole project from scheme design to implementation, so as to achieve the implementation of the systematic link by hands-on practice. On the opening ceremony, Yu Dianhai, chief architect of Baidu Oar, brought the first lesson “Deep learning re-understanding” to the students.
At the scene, Liu Qi, senior architect of CRRC Intelligent Product Lab, and Qian Yong, senior director of Ping An Insurance and CHIEF data officer of HRX, gave speeches respectively as the representatives of enterprise leaders of AICA’s former outstanding students and new students. Liu qi said that the course content of chief AI architect is from simple to deep, as long as you study hard, you will definitely gain a lot. Since its launch in 2019, Baidu’s chief AI architect training program has gone through three phases of training, delivering 135 chief AI architects to dozens of industries, including industry, agriculture, finance, transportation and electric power. Precipitation of such as jingdong Asia No. 1 logistics Park unmanned intelligent park, subway track defect edge real-time intelligent detection, criminal investigation three-dimensional reconstruction of real scene space and automatic object recognition and a wide range of scene cases and technical experience, continue to help related industries intelligent upgrade. In addition, Baidu actively lays out the AI talent training ecology. Up to now, it has trained more than 1 million AI talents. In the next five years, Baidu will train another 5 million AI technical and industrial talents, providing AI talents guarantee for the development of China’s intelligent economy and intelligent society.
It is worth mentioning that architects skills necessary to allow developers to quickly understand AI stack, the baidu fly oar college also special combed the “deep learning engineer skills mapping V1.0” and will last for iterative update, for aspiring architect AI the developers to learn about the depth of knowledge view, leak fill a vacancy to consolidate continued ascent, Help Chinese industry to cultivate high-end compound AI talents.
(” PaddlePaddle “public account background reply” atlas “to obtain high definition large picture)
Hard and soft power, in the final analysis, depends on talent. With the deepening of new infrastructure, technological innovation and industrial transformation, the “intelligent” development of everything is booming, and the value of high-end compound AI talents is constantly emerging. Baidu’s “Chief AI Architect Training Program” will also continue to provide strong knowledge, experience and resource support for enterprise students, help to cultivate high-end compound AI talents in China’s AI field, and inject core energy for industrial transformation and upgrading, innovation and reform.
PaddlePaddle, based on baidu’s years of deep learning technology research and business application, is China’s first open source, leading technology and fully functional industry-level deep learning platform, including open source platform and Enterprise version. Feioar open source platform includes core framework, basic model library, end-to-end development suite and tool components, continuously open source core capabilities, providing a foundation for industry, academic, scientific research innovation. Flying Oar Enterprise edition is based on flying oar open source platform and has enhanced corresponding features for enterprise requirements, including EasyDL, a zero-threshold AI development platform, and BML, a full-function AI development platform. EasyDL is mainly for small and medium-sized enterprises. It provides a convenient and efficient development platform with zero threshold, abundant network and models preset. BML is a comprehensive, flexible, customizable and deeply integrated development platform for large enterprises.
