Scarcity of human resources in the Artificial Intelligence industry in Vietnam and around the world
According to Cole.vn – a unit specializing in enrolling students in applied IT courses for survey work from domestic and foreign businesses and organizations:
– AI human resources currently only meet 10% of market demand, (according to Vietnam Artificial Intelligence Day 2019)
– Not only domestic competition, businesses also have to “be wary” of foreign units: up to 70-80% of candidates want to change jobs, more than 50% intend to work abroad if accepted. attractive invitation.
– By 2025, the workforce is predicted to be split in proportion, in which humans account for 48% and machines and algorithms account for 52%.
The income of engineers in the field of AI in which Machine Learning – the most basic and important part, can be up to about 3,054 USD/month (according to Topdev’s research). The amount of work is large and requires qualifications, plus the scarcity of talent, companies are willing to pay a huge amount of compensation.
Salary of engineer position in the field of AI by years of experience in the US (According to ProjectPro)
40 hours of learning to conquer Machine Learning, Deep Learning from Hanoi University of Science and Technology
Rated as one of the leading technical training universities, including IT, in the country, Innovation Center, School of Information and Communication Technology, Hanoi University of Science and Technology have built and organized a course: “40h conquering AI/Machine Learning/Deep Learning”.
Doctor. Dang Tuan Linh – The main lecturer of the course
Who would be suitable for this course:
– Students of IT who want to learn about ML/DL to choose the right direction or pursue this field in the future.
– Employees who already have basic IT knowledge want to learn more about Machine Learning/Deep Learning, especially the application of Deep Learning in computer vision (Computer Vision) to supplement work or change jobs. .
Specifically, with 40 hours of study (20 hours of theory and 20 hours of practice), learners will understand:
– Supervised and Unsupervised Learning
– Neural Network, Recurrent Neural Network (LSTM/GRU), Generative adversarial network (GAN)
– Deep learning
– Object Detection, Image Segmentation
From there, students can understand the basic process of creating ML applications, master how to use Python, OpenCV, Keras/Tensorflow with Google Colab to solve real-world problems such as recognizing people and vehicles traffic, license plates, guess age, gender, … and other popular machine learning problems.
Advantages of taking a course at the School of Information and Communication Technology – Hanoi University of Science and Technology
– Focus on practice: Practical exercises are built in parallel with the theoretical foundation, making it easy for learners to understand, grasp and apply.
– Enthusiastic support from lecturers and teaching assistants who are excellent students and PhD students.
– Open learning environment: The learning environment is open, helping students to exchange friends, exchange with teachers through many forms: during class hours, class groups on zalo, facebook, counselors…
– Expanding networking: Connecting students with leading experts, businesses, and employers in the industry with a strong network of partners and alumni.
In particular, after the course, you can receive the certificate of AI / Machine Learning / Deep Learning Foundation – a ticket to pass and prove extremely prestigious capacity in the technology community by the School of Information and Communication Technology, University Hanoi Polytechnic level.
Image of Certificate of AI/ Machine Learning/ Deep Learning Foundation
Register now for the course “40 hours to conquer Machine Learning / Deep Learning” organized by the School of Information and Communication Technology – Hanoi University of Science and Technology, in order to equip yourself with the most complete knowledge so that you have the foundation to conquer the profession of Machine Learning Engineer today. now.
Register at: https://bit.ly/3F6Uu6p
.