Advanced Embedded Systems on Arm

Arm Education via edX Professional Certificate

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Details

This course may be unavailable.

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Provider

edX Professional Certificate
Pricing

$198.00
Languages

English
Certificate

Certificate Available
Duration & workload

13 weeks, 3-6 hours a week

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Overview

The emergence of advanced embedded systems applications powered by the Internet of Things (IoT), Machine Learning (ML) and Edge Computing is changing the way we collect and optimise the data gathered from the world around us.

With the advent of ‘always-on’, mobile and powerful smart devices enabled by Arm’s rich ecosystem of technology partners, developers are now able to bring their applications closer to where data is being generated – that is closer to the user.

By deploying the connectivity of IoT, and the insights enabled by ML and the ubiquity of Edge Computing, this data can be processed efficiently, and interpreted at speed and volume, to create new and innovative human experiences that benefit not only the individual user, but society as a whole.

The Advanced Embedded Systems on Arm Professional Certificate will provide you with the key to unlock the potential of this exciting new technology in the world of computer science. With Gartner predicting that by 2025 75% of enterprise-generated data will be created and processed by Edge Computing solutions, skilled professionals in this area will be in high demand.

These online courses are aimed at learners already familiar with the basic principles of embedded system design. If you’re looking to level up your skills in this area, then we recommend you start your learning journey by taking our Professional Certificate in Embedded Systems Essentials with Arm.

The ST DISCO-L475E board used in this Program can be purchased directly from our technology partner STMicroelectronics: https://www.st.com/content/st_com/en/campaigns/educationalplatforms/iot-arm-edx-edu.html

In Part 1 of the Program, we’ll give you an overview of the fundamentals of IoT, but quickly move to practical projects that will teach you the essentials of building Arm-based IoT applications. This is the perfect gateway for beginners looking to enter the transformational world of IoT.

Our labs will teach you the basics of device management for IoT solutions - how to develop programs to control peripherals and sensors on a microcontroller and how to transmit this data to mobile and cloud-based applications using Bluetooth and Wi-Fi.

We’ll also provide you with the social context behind the technology with video case studies that illustrate the global impact of IoT applications.

Part 2 of the Program will build upon the knowledge acquired in the first online course and combine this with new skills focusing on how to train machine learning models and implement them at the ‘Edge’ using industry relevant Arm-based microcontrollers. We’ll take you through the basics of AI, ML and ML at the Edge. We’ll then introduce you to the concept of datasets and how to train machine learning algorithms using tools like Anaconda and Python. We’ll then go on to explore advanced topics such as Artificial Neural Networks and Computer Vision.

Along the way, our practical lab exercises will show you how you can address real-world design problems in deploying ML applications, such as speech and pattern recognition, as well as image processing, using actual sensor data obtained from the microcontroller. We’ll also introduce you to the open source TensorFlow Python library, which is useful in the training and inference of deep neural networks.

By acquiring the essential skills required to successfully develop advanced embedded systems applications, you will have taken your next step in becoming a part of a vibrant community of innovators. Spark your potential and enroll in our Advanced Embedded Systems on Arm Professional Certificate today!

Syllabus

Courses under this program:
Course 1: Build Your First Internet of Things (IoT) Application on Arm

Learn to build functional IoT solutions such as an environmental sensor and an activity monitor that you can feature in your CV or portfolio of work - showcasing your skills to peers, professors or prospective employers.

Course 2: Machine Learning at the Edge on Arm: A Practical Introduction

****This course will provide you with the hands-on experience you’ll need to create innovative machine learning applications using ubiquitous Arm-based microcontrollers.

Courses

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7 weeks, 3-6 hours a week, 3-6 hours a week
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Arm technology powered the smartphone revolution, and now it’s helping power the Internet of Things (IoT). This online course will provide beginners with an accelerated path to gain the knowledge necessary to thrive in a world transformed by innovations in IoT.

You can purchase the bill of materials required for the course directly from our technology partner, STMicroelectronics: https://www.st.com/content/st_com/en/campaigns/educationalplatforms/iot-arm-edx-edu.html

Instructor Update: We've identified an issue with the Google IoT Cloud service used in Modules 5 and 6 of the course. We are working to implement a solution to fix this issue and will update learners on our progress.

You’ll start your learning journey in this course by understanding the fundamentals of IoT, but quickly move to practical projects that will teach you the essentials of building Arm-based IoT applications.

Given that mobile computing platforms are where IoT often happens, we’ll also give you a basic understanding of Android application design, so you can integrate your mobile device into your IoT applications.

IoT applications have the potential to change the lives of billions around the world. This is why we’ll also provide you with the social context behind the technology. The course includes videos that illustrate the global impact of IoT applications – especially in emerging economies such as Africa. From ‘smart farming’, to solar panels and ‘blood drones’ - each case study contextualises IoT in real ‘first mile’ and ‘last mile’ applications, to help you understand the transformative impact of this technology in the real world.

Over the 6 modules, you will gain a key overview of:

• Internet of Things (IoT) fundamentals

• IoT and embedded system architectures

• Embedded application programming

• Connectivity and networking technologies such as Bluetooth Low Energy (BLE), LoRaWAN, ZigBee, and the IEEE 802.1 protocols

• Cloud computing

While not a requirement for this course, we recommend that learners who would like to improve their embedded systems skills (one of the essential technologies behind IoT implementations), also take our Embedded Systems Essentials on Arm edX program.

The Internet of Things is one of the fundamental building blocks of the next wave of computing. Forge your own career path in this connected world by enrolling in our course today!
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6 weeks, 3-6 hours a week, 3-6 hours a week
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The age of machine learning has arrived! Arm technology is powering a new generation of connected devices with sophisticated sensors that can collect a vast range of environmental, spatial and audio/visual data. Typically this data is processed in the cloud using advanced machine learning tools that are enabling new applications reshaping the way we work, travel, live and play.

To improve efficiency and performance, developers are now looking to analyse this data directly on the source device – usually a microcontroller (we call this ‘the Edge’). But with this approach comes the challenge of implementing machine learning on devices that have constrained computing resources.

This is where our course can help!

By enrolling in Machine Learning at th e Edge on Arm: A Practical Introduction you’ll learn how to train machine learning models and implement them on industry relevant Arm-based microcontrollers.

We’ll start your learning journey by taking you through the basics of artificial intelligence , machine learning and machine learning at the edge , and illustrate why businesses now need this technology to be available on connected devices. We’ll then introduce you to the concept of datasets and how to train algorithms using tools like Anaconda and Python. We'll then go on to explore advanced topics in machine learning such as artificial neural networks and computer vision.

Along the way, our practical lab exercises will show you how you can address real-world design problems in deploying machine learning applications, such as speech and pattern recognition, as well as image processing, using actual sensor data obtained from the microcontroller. We'll also introduce you to the open source TensorFlow Python library, which is useful in the training and inference of deep neural networks.

In the final module you’ll be able to apply what you’ve learned by implementing machine learning algorithms on a dataset of your choice.

The ST DISCO-L475E board used in this course can be purchased directly from our technology partner STMicroelectronics: https://www.st.com/content/st_com/en/campaigns/educationalplatforms/iot-arm-edx-edu.html

Through our vast ecosystem, Arm already powers a wide range of devices and applications that rely on machine learning at the edge. Be a part of this vibrant community of developers and start your machine learning journey by enrolling in our course today!