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Creating the new normal in Arm Technical Training

Matt_Rushton
Matt_Rushton
January 26, 2023
3 minute read time.

It only seems like a few weeks since the training review blog of 2021 and the possible predictions of a bounce back to normal following Covid. A year later and optimistic predictions of training normality have not been as rapid as some may have hoped or expected.

Virtual training, having struggled as a channel pre Covid, remains the live delivery method of preference. 2022 will go down as the year virtual training declared it was here to stay and the year in which the experience improved.

Comparison on training delivery method

Removing the need for prerequisite work (that was seldom completed) was a big step forward. Live kick-off sessions are now run to show where pre-recorded training content is located and which videos should be watched. A live Q and A session then completes the course. This structure helped ensure delegates could take some of the training when they wanted but still with the benefit of live time with Arm engineers. This new blended training approach started to have a real impact and is expected to increase in popularity in 2023 once more source content is available with video.

2022 also goes down as the year that on-demand video-based training had the coverage required to offer it as either a replacement or addition to regular live training. Great efforts from the training team have ensured that content is available for all IP featured in the Arm Flexible Access package and for large amounts of the latest Arm IP. Mandarin versions of some of our most in-demand training courses were also released. Time was also spent updating AMBA training videos to ensure that inclusive language is incorporated.

 List of online training courses

Arm Flexible Access Online Training Curriculum

We released record amounts of online training on our Arm Training platform and we launched our first Arm Technical Training Coursera specialization. This is called, Arm Cortex-M Architecture and Software Development. The specialization consists of four courses with around 30 hours of content, leading to a formal Coursera qualification. The platform currently has over 1000 users registered and is growing every week. To find out more, click the link.

Coursera

New content

With the ever-increasing amounts of new Arm IP being developed, creation of new training content kept pace. 2022 saw the introduction of the following courses:

IP Courses
Neoverse RD-N2 Software online  RD-N2 Hardware online 

 

Cortex-A and Cortex -R Cortex-A715 Blended Cortex-A55 Mandarin online Introduction to Armv7-R online
Cortex-M Cortex-M Embedded System Design online (Coursera) Cortex-M55 Mandarin online  Cortex-M Hardware online
System IP and Safety CMN700 online CI700 online Intro to FuSa on Arm online 
Implementation Introduction to Physical Implementation online  CMN700 Implementation

 

New content released in 2022

What does 2023 have in store?

Following on from the success of CPU on-demand and blended training, we are looking to introduce similar approaches for the new Mali GPU, Camera, and System IP.

We are also looking to use the online training platform to help support new partners with onboarding to Arm. Videos are being created on what is included in subscriptions, how to use online training, and what Arm IP Explorer can offer.

Having explored the use of virtual reality for training the conclusions is there are too many barriers at this stage. Our focus therefore is switching this year to improving the quality of our training videos. More Mandarin voiceovers and the use of in presenter green screen recorded trainers play a big part.

New content will also be required to support the launch and rollouts of Arm’s new, exciting technologies planned for the year ahead.

Creating content is only half the challenge. Updates to older modules, such as TrustZone for M and refreshing the Introduction to Arm course, will be key focuses.

For more information on Technical Training available from Arm, visit Arm training. 

Arm training

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