ARM 32-bit Architecture (ARM v7) eLearning Course

Instructor(s): Paul Devriendt

Equivalent of: 3-day course

Subscription Length: 120 days

$695

Course price

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What's Included

Modules img Course completion certificate
ARMv7 eLearning modules
(unlimited access for 120 days)
PDF of Course Slides
(yours to keep, does not expire)
Course Completion Certificate
(boost your resume/CV)

You Will Learn

The ARM 32-bit Architecture eLearning course focuses on software-related aspects of the ARMv7 Architecture, with a specific focus on Cortex-A and Cortex-R profiles, plus common subjects like software tools. This course is aimed at embedded software and systems developers who would like to acquire a broad knowledge of ARM technology with a bias toward application processors and real-time processors.

Course Description

This was the only eLearning course endorsed by ARM for anyone wanting to take the ARM Accredited Engineer (AAE) certification exam when ARM was still offering their AAE certification program. That program has been discontinued by ARM, but the information in this course is still very relevant and extremely valuable for anyone working with ARM v7 architectures.

 

ARM Endorsement

“On the strength of MindShare’s position as an industry leader in technology training, particularly in the area of microprocessor architecture, we were happy to welcome them to the AAE program as an ARM Accreditation Training Partner (AATP). Their expertise in delivering engaging self-paced eLearning courses should make MindShare's ARM Accredited Engineer Certification eLearning course a very good way to efficiently and cost-effectively prepare for the ARM Accredited Engineer (AAE) exam”.
- Daniel Dearing, AAE Program Manager

Course Content

Module 1: ARM Introduction
- Discusses the contents of the course and provides an intro to ARM the company

16min to complete

Module 2: Sample SoCs and Multiple Processor Cores
- Provides high-level descriptions of several common ARM-based SoCs and goes over the concepts of multiple cores and multi-processing (SMP vs. AMP)

30min to complete

Recommended Prerequisites

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