70 students with a minimum GPA of 3.0 and TOEIC 600 will go through three rounds of selection to participate in the Vingroup AI Engineer Training program season 5.
Students will receive free training with the guidance of leading domestic and world experts. Along with this are career development opportunities at Vingroup and scholarships to study abroad at the world’s top technology schools.
The program is aimed at final-year students, graduate students, bachelors, young engineers, and masters majoring in Information Technology, AI, Computer Science, Data Science, Electronics – Telecommunications , Mathematics – Information or appropriate technical major. The application period is from April 1 to May 15.
To be considered for admission, candidates need to achieve a minimum GPA of 3.0 and a TOEIC English score of 600 or equivalent. Submitted applications need to go through three selection rounds: application screening; Entrance test of math – programming, English and interview with expert panel.
VinBigdata’s Vingroup AI Engineer Training Program includes two main phases with the goal of building a team of high-quality engineers capable of competing in the international market. The foundation phase lasts four months, including the subjects: Basic and advanced machine learning, Computer vision, Natural language processing, Linear algebra, Statistical probability, AI ethics to name a few. Complementary subjects such as Python, MLOps, Data Engineering. In addition, students will hone their scientific research skills and participate in a series of seminars related to ongoing key technology projects.
At the end of the four months of foundation, students enter the internship phase. At this time, members can experience a professional working environment and participate in Vingroup’s technology projects such as developing virtual assistant Vivi, building smart image analysis solutions…
In addition to accessing technology, with a roadmap-based training platform, students also have the opportunity to conquer many large projects and publish science at leading conferences and journals such as EMNLP (Conference on Processing Natural Language), ICCV (Conference on Medical Image Processing), NCAA (Q1 Magazine in the field of AI)…
“The Vingroup AI Engineer Training Program is also a launching pad to bring many Vietnamese AI talents further internationally with master’s and doctoral scholarships at prestigious universities,” said a representative of the unit. . Some prominent schools include the University of Illinois at Urbana-Champaign (USA), University of Pennsylvania (USA), Trinity College Dublin (Ireland), Japan Advanced Institute of Science and Technology (JAIST), National University Singaporean, University of Notre Dame (Australia)…
Ly Phuc Thanh, a second-year student, is studying for a Master’s degree in Robotics at the University of Pennsylvania (USA) with a full scholarship. He said the program is the foundation to help him master important knowledge and skills when working in technology. in the international environment.
“Under the guidance of a team of experts, I had the opportunity to improve myself. This was the key to helping me quickly receive a full scholarship to study for a master’s degree in the US,” Thanh said.
Ly Phuc Thanh (far right) with some students of the program. Image: VinBigdata
In the role of implementing the 4-year training program, Professor. Vu Ha Van, Scientific Director of VinBigdata, affirmed that the course contributes to creating a team of AI engineers with expertise and sharp thinking. This is also one of the core forces at leading units in science and technology domestically and internationally. From there, we expect to improve Vietnam’s position on the world technology map,” analyzed Professor Vu Ha Van.
Training AI engineers will start in 2020 and is one of the key programs implemented by Vingroup to build a scientific and technological force. After four years, the program attracted more than 1,300 applications, trained 310 students with 70% achieving national and international academic achievements and titles.