Huawei launches HCNA-AI to bridge the talent gap in the industry
Jul 27, 2018
Beijing, China, July 27, 2018: Yesterday, Huawei held a conference on its newly launched HCNA-AI in Beijing. The announcement of the Huawei's AI engineering certification is the first step for the Chinese multinational to build an artificial intelligence talent certification system. With the theme “Never stop learning, create the future with AI”, Huawei welcomed more than 100 educators, academic experts, Huawei training partners, university professors, students and AI technology enthusiasts. This new certification designed for tech professionals aims to promote the artificial intelligence technology and industry through talent development, and it will ultimately facilitate technological progress of enterprises looking to make an impact in the digital economy.
Huawei Launches HCNA-AI Certification
Building a sustainable talent ecosystem in the AI era
Bradd Feng, Director of the Global Training & Certification Dept. of Huawei Enterprise BG, said:
“With the national artificial intelligence development strategy, we are facing the challenges of a growing talent demand; Huawei in cooperation with world-renowned universities and industry experts have carried out a new layout for talent training. This new professional certification with the updated college curriculum will stimulate a stronger talent supply and will allow professionals to access a new world of opportunities.”
Professor Wang Wanliang, dean of the School of Computer Science and Technology at Zhejiang University of Technology, pointed out:
“the launch of the AI engineering certification by Huawei is a revolutionary milestone in the training of the AI domain. As a tech leader involved in the academic community, we are looking forward to see that Huawei continues to develop the AI professional program certification and bridge the gap between academic institutions and enterprises by providing on-going training to college students and IT professionals.”
Professor Wu Fei, deputy dean of the School of Computer Science of Zhejiang University and director of the Institute of Artificial Intelligence, in its "Artificial Intelligence Cross-disciplinary Talent Training" presentation explained:
“Artificial intelligence is an independent field of study, but at the same time, it encompasses cutting-edge technologies and various disciplines. The interdisciplinary nature of this field requires cross-disciplinary skills; universities should cooperate with enterprises to build artificial intelligence innovation and bring together multifaceted talents.”
Huawei certification is one-step ahead
Zhang Zhifeng, chief architect of Huawei's artificial intelligence certification, introducing the certification structure concept said:
“Huawei's artificial intelligence engineering certification offers fundamental knowledge of artificial intelligence and provide industry-specific applications. “
The certification framework has four characteristics:
- Grounded on solid theory and leading technology
The HCNA-AI learning material provides the basic mathematics and machine learning knowledge necessary for deep learning. At this level, the students will be guided to gradually understand the related techniques of deep learning, such as, convolutional neural networks, cyclic neural networks, regularization, optimizers, etc., and introduce deep learning in applications areas, such as, computer vision, speech recognition, and natural language processing.
- Strong framework and extensive application
HCNA-AI uses the mainstream TensorFlow framework and supports Keras (a high-level neural network API, Theano/TensorFlow-based deep learning framework written in Python), which is widely used, powerful, and has excellent compatibility and timeliness.
- Convenient platform with anytime learning mode
The experimental environment of the HCNA-AI certification course can be accessed to the ECS (Elastic Cloud Server) on the Huawei Cloud, and then installed according to the manual. The installed environment will have a separate IP, username and password, so that students will be able to log in to the lab environment and learn any time with a network connection.
- Practical and up-to-date
The HCNA-AI certification program offers programming exercises, including image recognition battle, speech recognition contest and human-machine dialogue, so that students can practice what they have learned.
Bridging the tech skills gap by providing a talent ecosystem
At present, there is a huge talent gap in the artificial intelligence field. Huawei as technology leader actively takes action to attract top talent and develop an ICT professional community by providing an ecosystem for learners across the globe. To address the tech skills gap and to meet the needs of various industry, Huawei will officially release the complete AI development strategy and talent development plan at HUAWEI CONNECT in Shanghai this coming October.
Facing future challenges, Huawei will build a sound talent ecosystem and continuously output high-quality ICT talents for the industry through a global influential ICT certification system; deepen university-enterprise cooperation to promote talent development and innovation by co-building Huawei ICT Academy; help achieve efficient match of talent supply and demand to bridge talent gap by holding Huawei ICT Competition and Huawei ICT Job Fair in the world wide, and ultimately, promote the healthy and sustainable development of ICT industry.
HUAWEI CONNECT 2018 – "Activate Intelligence" – will be held at the Shanghai World Expo Exhibition and Convention Center and Expo Center from October 10 to 12.
This year's HUAWEI CONNECT conference is designed to help all businesses and organizations step over the threshold and stake their claim in the intelligent world. You will be joined by the best minds in the industry – including global ICT leaders, industry experts, and ecosystem partners – to chart the way forward and explore new opportunities.
Sign up to receive TelecomTV's top news and videos, plus exclusive subscriber-only content direct to your inbox.