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Embedded Systems with ARM Cortex and STM32

Created By 1

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  • Course Content
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  1. Training
  2. Embedded Systems
  3. MicroControllers

Embedded Systems with ARM Cortex and STM32

A 14 day proven course to a higher paying career in embedded systems, with deep understanding of ARM Cortex and STM32

Created By 1

English

455 3,200

This course includes:
  • 7h 50m On-demand training
Embedded Systems with ARM Cortex and STM32

Embedded Systems with ARM Cortex and STM32

A 14 day proven course to a higher paying career in embedded systems, with deep understanding of ARM Cortex and STM32

Created By 1

English

455 3,200

What you'll learn

  • In-depth understanding of the ARM Cortex fundamentals
  • Set up a free and open source toolchain on your computer to program, flash and debug ARM based microcontrollers
  • Core register functionality like stack pointers, link registers, program counters, control registers, vector tables
  • Understand different types of exceptions on the ARM Cortex-M processor and what each of them mean
  • Understand different peripherals and how to program them
  • Hardware Abstraction Layer (HAL) Libraries and how to use them
  • Feel confident and comfortable programming applications on the Cortex-M platform
  • What is a programmers model and how it works for an ARM Cortex-M
  • Unprivileged and privileged software execution levels
  • Vector Table Offset Register (VTOR) and its uses
  • Big Endian Format vs Little Endian Format
  • OpenOCD (Open source debugger)
  • STCubeMX Application and how to generate HAL drivers

Course content

16 sections • 5 lectures • 7h 50m total length
Expand all sections

Important points before you get started

ARM Cortex Family

Cortex-M Family

Cortex-M4 Instruction Set
ARM vs Thumb instructions quiz
Guidelines
Overview of the Nucleo F303RE board

Exception Model and Vector Table

Lab Session #3 - Reset Exception Handler and the Vector Table
Vector Table Offset Register (VTOR)
Lab Session #4 - Using VTOR to move vector table to SRAM

Core Blocks inside the ARM microcontroller

Big Endian vs Little Endian
STM32F3x System Overview, Bus Interface

How to choose a microcontroller for your project
Powering up a microcontroller on a breadboard
This course includes:
  • 7h 50m On-demand training

Requirements

NA

Description

Do you like working with microcontrollers, sensors, and other embedded devices? 

✓ Do you want a successful career in embedded systems, but can't find the right resources?

✓ Are you preparing for a job interview in embedded systems? 

✓ Do you already have a career in embedded systems, but want to start working on more engaging projects?

 

This course on the "Foundations of embedded systems with ARM Cortex and STM32" is the right choice. Try it for 30 days with a no questions asked, money back guarantee, and you will thank yourself for making the right decision.

Your instructor

You will be learning the material from the best of the best in the industry. Akshay has over 10+ years of solid experience and has worked for companies like Tesla, on crucial projects for the Model S, X and 3 cars.

He has a passion for teaching, and once you've experienced his teaching style, it is hard to go anywhere else. He is patient with students, and understands the learning journey you will go through, and will be there to guide you along the way.

Akshay has been teaching since his first years at University and as won awards in teaching and entrepreneurship.

Who this course is for:

  • An embedded systems enthusiast, professional or student who is struggling to start programming on the ARM Cortex-M platform
  • Worked with Arduino before, and has basic working knowledge of embedded systems
  • Worked with 8-bit and 16-bit microcontrollers and want to venture into the world of 32-bit microcontrollers
  • Already been working with ARM Cortex microcontrollers and want to gain a deeper understanding of the processor’s fundamentals

Instructor

1
,
NA

Akshay has always had a practical approach to engineering. His quest for Electric Vehicles began in 2008 when he developed a unique dashboard electric scooters that rewards users when they drive electric. In his Masters at University of Toronto he developed a unique way of measuring impedance characteristics of Lithium-ion batteries on-board vehicles that allow for early prediction of battery failures.

He was a core  member of the Battery Hardware and Firmware team at Tesla, where he worked on the Model S refresh, Model X and Model 3 vehicles. He is now the Director at MakerMax Inc., that is enabling an 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 and safe Electric Vehicles. He also runs popular online workshops on Battery Technology to reskill professionals and students in this field.

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