Hands-on Embedded Systems with Atmel SAM4s ARM Processor

Hands-on Embedded Systems with Atmel SAM4s ARM Processor Udemy Course

Hands-on Embedded Systems with Atmel SAM4s ARM Processor Course Created by Akshay Gill.

Hands-on Embedded Systems with Atmel SAM4s ARM Processor has 4.7 rating out of 5 based on 110 students. Currently this course has 958 students. Course langwage is English.

Hands-on Embedded Systems with Atmel SAM4s ARM Processor Course Description

This course received a major update in February 2018 based on the feedback provided.

Welcome to this course on hands-on embedded systems using the Atmel SAM4s ARM processor. By the end of this course, you will become familiar with the master of the ARM processor core, processor model, exception model, reset sequences, general and special registers, and ADC peripherals. This course was created from scratch to help you transition from the world of Arduino to the world of 32-bit Atmel SAM4s ARM microcontrollers.

Who am I?

I am Akshay and I will be the instructor for this course. He has been fascinated with microcontrollers since childhood and now considers himself fortunate to have made it his profession. I'm currently writing firmware for a safety-critical system that goes inside an electric vehicle. With my knowledge of embedded systems over the past decade and working in Silicon Valley, I have gained unique insights into what the industry needs and what students lack.

Process structure

This course consists of 8 sections.

Section 1 helps you understand the difference between Arduino and 32-bit ARM Cortex. You will also understand the Cortex-M instruction set.

Section 2 describes the development environment and hardware setup. This section also includes reference documentation for use in the rest of the course.

Section 3 describes processor basics. By the end of this section, you will become familiar with the inner workings of the processor, the general and special registers that perform all the magic inside the processor. You will learn how to interpret assembly instructions and how to operate inside the processor.

Section 4 describes the peripherals. You will learn the theory of analog-to-digital converter (ADC) peripherals.

Section 5 is the first project in this course to understand how to use the ASF library in Atmel Studio to sample analog voltages and how peripherals and processors work together to convert them to digital code.

Section 6 is the second project in this course to understand how analog voltage is sampled and implement it by writing directly to a register. (Library not available here)

Section 7 is the third project in this course to understand how to sample real-time temperature and how the processor interprets the C degree value of F. Implemented using ASF code.

Section 8 is a homework project that implements temperature sensing using direct register access. Solutions are provided for your reference.

This course content was created from scratch to deliver the point in the most efficient, interesting and engaging way!

Is this course for me?

If you are an embedded systems enthusiast, professional, or student struggling to get started programming on the ARM Cortex-M platform, this course is for you. If you have previous experience with Arduino and have basic working knowledge of embedded systems, then this course is for you. If you've already worked with ARM Cortex microcontrollers and want a deeper understanding of the basics of processors and ADC peripherals, this course is for you!

Can I use another development board?

This process uses an Atmel SAM4s Xplained Pro development board with an ARM Cortex-M4 processor. You can choose any other microcontroller that works with Atmel Studio. If you need help choosing a board, let us know and we'll help.

My personal guarantee

I 100% support this process and I guarantee that you will get valuable information from it. There's also a 30-day money-back guarantee from Udemy.

This gives you confidence in your purchase and lets you know it's a worthwhile discovery.

Akshay has always taken a pragmatic approach to engineering. His quest for electric vehicles began in 2008 when he developed a unique dashboard electric scooter that rewards users for driving on electricity. During his master's program at the University of Toronto, he developed a unique method to measure the impedance characteristics of on-board lithium-ion batteries to enable early prediction of battery failure. He is a key member of the Tesla Battery Hardware and Firmware team, working on Model S Refresh, Model X and Model 3 vehicles. He is currently a Director of MakerMax Inc., supporting the ecosystem for mass EV adoption by creating products such as battery analyzers, characterizers, and battery management platforms that enable the industry to create high-performance, safe electric vehicles. He also runs popular online workshops on battery technology to retrain professionals and students in the field.