Amazon Web Services (AWS) is launching a free Machine Learning (ML) course for business leaders.

The course, entitled Machine Learning Essentials for Business and Technical Decision Makers, is made up of three 30-minute digital training courses delivering foundational ML knowledge to business leaders. AWS claims that the course will empower decision makers to better identify areas in their business where ML can be utilised to generate the most impact.

Andrew Sklar, Head of AWS Training and Certification in Asia Pacific, Amazon Web Services

According to Andrew Sklar, Head of AWS Training and Certification in Asia Pacific, “Our goal for this course is to help busy decision makers, including those with no prior ML experience, grow their knowledge up the learning curve quickly. In my experience, organisations that invest in cloud training across their organisation are able to achieve digital transformation faster.”

According to Gartner research, the most common barriers blocking ML projects from production include organisations being unable to identify ML use cases, skills shortages and a lack of resources. 

AWS claims that the course will assist business leaders to accelerate their ML knowledge and develop an organisational ML project plan, helping to prepare organisations for ML implementation both technically and culturally.

“Machine learning has the potential to transform nearly every industry, but organisations need skilled employees to implement ML at scale. This includes both business leaders, who need foundational knowledge to make informed choices for their organisation, and technical professionals, who can implement ML technology solutions,” says Sklar. 

The course can be accessed through AWS Training and Certification and is part of Amazon’s commitment to deliver free cloud computing training to 29 million people globally by 2025.

The UK’s national weather service, the Met Office, participated in the AWS Machine Learning Embark program to learn to use ML in order to investigate how climate change could alter the Earth’s biosphere.

According to Professor Albert Klein-Tank, head of the Met Office’s Hadley Centre for Climate Science and Services, “Our climate models generate huge volumes of data, and the ability to extract added value from it is essential for the provision of advice to our government and commercial stakeholders.

“This demonstration of the application of machine learning techniques to research projects has supported the further development of these skills across the Met Office.”

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