Squirro launches no-code machine learning training programme

Squirro, an augmented intelligence solutions provider, is launching a series of live discovery sessions that offer practical machine learning training for non-technical business line employees (citizen developers) and business analysts.

In the new offering from the Squirro Academy, the Digital Discovery Sessions provide instructor-led, practical education on various digital topics. These include learning about machine learning using Squirro's No-Code solution – the Squirro AI Studio – and building complex pipelets using the Squirro Insight Engine and Data Pipeline. The first practical session will be led by Amin Hasan, machine learning expert and solutions engineer, Squirro, and will focus on no-code machine learning model building.

"Many of the challenges arising from digitalisation come from a lack of education and a resistance to new technology," said Squirro head of training and education, Lauren Hawker Zafer.

"The Digital Discovery Sessions explain machine learning to a non-technical audience and put in place the machine learning fundamentals for citizen developers – what is it, how can it be applied to different use cases, and what thoughts must go into digital transformation when using machine learning."

Launched in 2021, the Squirro Academy is a place for people to efficiently access knowledge and education about machine learning and AI. It is accessible to Squirro partners and clients and serves as an introduction to the Squirro Insight Engine. Attendees are shown how to set up their own self-service instance and use Squirro and its Data Pipeline.

As the training proved popular, Squirro launched the Digital Discovery Sessions to cater to a broader audience of citizen developers with a new live, interactive, and hands-on sessions format. The sessions are entirely free of charge, led by Squirro's machine learning experts, and do not require any technical skills to attend. Participants will have the opportunity to understand the process behind model building, create their own machine learning models, identify machine learning use cases within their organisation, and become more confident in technical discussions about machine learning and augmented intelligence.

Participants create application capabilities for themselves or others, using tools not necessarily provided by IT or business units. According to Gartner, the number of active citizen developers in large enterprises will be at least four times that of professional developers by 2023.

"Machine learning is playing an increasingly important and prominent role in business, and getting the most from this requires citizen developers and non-technical staff to understand and have the chance to work with it," says Lauren.

"Our experts have extensive experience working with machine learning and no-code, and these practical instructor-led sessions are the perfect introduction to machine learning, no-code model creation, and actual model making."

The first Digital Discovery Session is Digital Discovery: No-Code ML Model Building, APAC, March 22. 17:30 - 19:00 SGT.