Huawei, Women in AI Partner to Create Training CoursesHuawei, Women in AI Partner to Create Training Courses

Collaboration gives aspiring AI practitioners access to tools and training

Ben Wodecki

January 24, 2023

1 Min Read

Women in AI, the non-profit trying to encourage more women to enter AI, has teamed up with Chinese telecom giant Huawei to create a series of training courses.

The pair launched introduction courses that cover a range of technology areas such as IoT and cloud will be available from beginner to advanced levels.

Figures from the Alan Turing Institute state that just 22% of data and AI professionals in the U.K. are women. And according to Deloitte, women make up just 26% of the AI workforce in the U.S.

“Inclusion and diversity in AI technologies are vital to develop sustainable societies and create an ecosystem of trusted excellence,” said Aisha Naseer, director of research at Huawei Technologies U.K.

“This new collaboration will support education and facilitate opportunities for women in tech by promoting women’s inclusion & co-ordination in the trusted AI ecosystem,” added Naseer, who is also the strategic lead for Women in AI U.K.

The jointly created courses will provide access to a range of resources, including simulation tools to provide hands-on exercises.

"Diversity is essential for driving innovation in the field of AI," said Women in AI’s U.K. chapter lead Toju Duke. “By providing women with the knowledge and skills they need to succeed in the field, we hope to inspire more women to pursue careers in AI and help drive positive change in the industry.”

Women in AI’s work with Huawei comes off the back of the first-ever Women in AI Summit, which took place at the AI Summit New York last December. The one-day event saw leading women in AI from Shell and the World Economic Forum impart advice and encouragement to attendees.

About the Author(s)

Ben Wodecki

Assistant Editor

Ben Wodecki is the assistant editor for AI Business, covering a wide range of AI content. Ben joined the team in March 2021, and has previously written for IoT World Today, IP Magazine, and The Telegraph India, among others.

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