Professional Course

Embedded Systems Essentials with Arm: Getting Started

edX, Online
Length
6 weeks
Price
99 USD
Next course start
Start anytime See details
Delivery
Self-paced Online
Length
6 weeks
Price
99 USD
Next course start
Start anytime See details
Delivery
Self-paced Online
Visit this course's homepage on the provider's site to learn more or book!

Course description

Embedded Systems Essentials with Arm: Getting Started

Embedded systems are everywhere – and Arm-based technologies are the industry standard. Getting started could not be easier. This course includes free access to an Mbed simulator so you can apply your new knowledge and skills to prototype and build real-world embedded applications quickly, without the trouble or expense of sourcing hardware.

From the mobile, wearable, and smart devices of today to the transformative Artificial Intelligence (AI) and 5G powered Internet of Things (IoT) of the near future, embedded systems are the fundamental building blocks of our connected world. As we move from billions to trillions of intelligent, connected devices, it’s crucial that the next generation of engineers have a thorough understanding of how to rapidly build and deploy a modern embedded system solution.

In this course, you will learn the fundamentals of an embedded system and discover why the Arm architecture and processors are particularly well suited for IoT applications.

Our interactive labs have been designed to cover the technical fundamentals, developing in-demand skills essential for any aspiring embedded systems engineer.

You will begin by learning the characteristics of an embedded system, its components, benefits, and constraints, identify cost-performance trade-offs, and explore why the Arm architecture and processors are particularly well suited for the IoT.

You will then apply your new knowledge of digital and analog I/O, interrupts, low power features, timer and pulse width modulation to program an audio wave generator and audio player, and control peripherals along the way.

Upcoming start dates

1 start date available

Start anytime

  • Self-paced Online
  • Online
  • English

Who should attend?

Prerequisites

  • Familiarity with engineering principles at an undergraduate level.
  • Basic understanding of a programming language such as C/C++.
  • Access to a Windows or Mac-based computer in order to install a local Docker image of the Mbed API simulator.

Training content

Introduction to embedded system

You will be able to explain the characteristics of an embedded system and evaluate its benefits and challenges.

Introduction to the Mbed Platform and CMSIS

You will be able to identify key features of the Mbed platform and run a basic application using the Mbed simulator.

Digital I/O

You will be able to control GPIO peripherals using digital input/output interfaces from the Mbed API.

Interrupts and Low Power Features

You will be able to explain and implement interrupts for the purpose of controlling peripherals, utilising the Mbed API.

Analog I/O

You will be able to implement an audio wave generator whose pitch and volume are controlled by two analog signal inputs, using the Mbed API.

Timer and Pulse-width Modulation

You will be able to develop an audio player incorporating timers, tickers, and Pulse Width Modulation using the Mbed API.

Course delivery details

This course is offered through Arm Education, a partner institute of EdX.

3-6 hours per week

Costs

  • Verified Track -$99
  • Audit Track - Free

Certification / Credits

What you'll learn

  • Learn how to implement real-world embedded system projects on a simulated microcontroller using the Mbed API.
  • Modify skeleton code to implement functionality for multiple applications: an audio wave generator, an audio player, and controlling peripherals using analog and digital I/O interfaces, interrupts, timers, and pulse width modulation.
  • Learn key features of Arm processors and architectures as the basis of modern embedded computing.
  • Understand applications of embedded systems and how a modern API can help accelerate IoT deployment.

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