Performance 160x1200

Performance 160x1200

Performance 705x108

Friday, 16 April 2021 11:15

AWS launches free Machine Learning course for business and tech leaders

By

Machine learning promises to help organisations of all sizes deal with the vast mass of data being accumulated, but it’s still science fiction for many. AWS has launched a new, free course to demystify it all, including where it is best suited to solve business challenges.

Machine learning (ML) has the potential to transform nearly every industry, but most organisations struggle to adopt and implement ML at scale, including identifying how it can be practically used within their business.

Amazon Web Services (AWS) has launched the course, "Machine Learning Essentials for Business and Technical Decision Makers” as a series of three 30-minute modules. The course equips business and technical leaders with the foundational knowledge required to begin shaping an ML strategy for their organisation.

The course helps leaders move through the learning course quickly, including understanding and identifying precisely where and how machine learning is best suited to solve business requirements. Each module includes real-world examples from Amazon’s more than 20 years of experience scaling machine learning within its own operations as well as lessons learned through countless successful customer implementations.

The course is available through the AWS Training and Certification portal and is one more way AWS is fulfilling its commitment to provide free cloud computing training to 29 million people around the world by 2025.

Andrew Sklar, Head of AWS Training and Certification in Asia Pacific and Japan, said, “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. 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.”

After completing the three courses, business leaders and technical decision-makers will be better able to assess their organisation’s readiness, identify areas of the business where machine learning will be the most impactful and identify concrete next steps.

The modules are

  1. Machine Learning: The Art of the Possible is the first course in the series. Using clear language and specific examples, this course helps you understand the fundamentals of ML, common use cases, and even potential challenges.
  2. Planning a Machine Learning Project – the second course – breaks down how you can help your organisation plan for an ML project. Starting with the process of assessing whether ML is the right fit for your goals and progressing through the key questions you need to ask during deployment, this course helps you understand important issues, such as data readiness, project timelines, and deployment.
  3. Building a Machine Learning Ready Organisation – the final course- offers insights into how to prepare your organisation to successfully implement ML, from data-strategy evaluation to culture, to starting an ML pilot, and more.

The course is a component of AWS' Machine Learning Embark curriculum, which has already helped many organisations harness the power of ML at scale.

Some large Australian organisations embracing cloud upskilling include the National Australia Bank, which has trained more than 7,000 employees and AWS certified over 1,300, and Optus, which has trained and certified almost 1,000 employees and over 140 customers. These companies see the cloud, and related technologies like ML, as key to increasing development productivity, powering the digital future and driving customer innovation.

 

Image credit: "Artificial Intelligence & AI & Machine Learningby mikemacmarketing is licensed with CC BY 2.0.


Subscribe to ITWIRE UPDATE Newsletter here

GRAND OPENING OF THE ITWIRE SHOP

The much awaited iTWire Shop is now open to our readers.

Visit the iTWire Shop, a leading destination for stylish accessories, gear & gadgets, lifestyle products and everyday portable office essentials, drones, zoom lenses for smartphones, software and online training.

PLUS Big Brands include: Apple, Lenovo, LG, Samsung, Sennheiser and many more.

Products available for any country.

We hope you enjoy and find value in the much anticipated iTWire Shop.

ENTER THE SHOP NOW!

INTRODUCING ITWIRE TV

iTWire TV offers a unique value to the Tech Sector by providing a range of video interviews, news, views and reviews, and also provides the opportunity for vendors to promote your company and your marketing messages.

We work with you to develop the message and conduct the interview or product review in a safe and collaborative way. Unlike other Tech YouTube channels, we create a story around your message and post that on the homepage of ITWire, linking to your message.

In addition, your interview post message can be displayed in up to 7 different post displays on our the iTWire.com site to drive traffic and readers to your video content and downloads. This can be a significant Lead Generation opportunity for your business.

We also provide 3 videos in one recording/sitting if you require so that you have a series of videos to promote to your customers. Your sales team can add your emails to sales collateral and to the footer of their sales and marketing emails.

See the latest in Tech News, Views, Interviews, Reviews, Product Promos and Events. Plus funny videos from our readers and customers.

SEE WHAT'S ON ITWIRE TV NOW!

BACK TO HOME PAGE
David M Williams

David has been computing since 1984 where he instantly gravitated to the family Commodore 64. He completed a Bachelor of Computer Science degree from 1990 to 1992, commencing full-time employment as a systems analyst at the end of that year. David subsequently worked as a UNIX Systems Manager, Asia-Pacific technical specialist for an international software company, Business Analyst, IT Manager, and other roles. David has been the Chief Information Officer for national public companies since 2007, delivering IT knowledge and business acumen, seeking to transform the industries within which he works. David is also involved in the user group community, the Australian Computer Society technical advisory boards, and education.

Share News tips for the iTWire Journalists? Your tip will be anonymous

WEBINARS ONLINE & ON-DEMAND

GUEST ARTICLES

VENDOR NEWS

Guest Opinion

Guest Reviews

Guest Research

Guest Research & Case Studies

Channel News

Comments