Online or onsite, instructor-led live microcontroller training courses demonstrate through hands-on practice how to set up and program microcontrollers for use in controlling real-world devices such as lights, motors and motion detection sensors. Microcontrollers can also be used as complete server systems for dedicated tasks such as printing and web serving.

Microcontroller training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Microcontroller training can be carried out locally on customer premises in the US or in NobleProg corporate training centers in the US.

NobleProg -- Your Local Training Provider

Testimonials

★★★★★

He was able to handle a wide range of knowledge levels among the students - from lowerclassmen who barely wrote a line of code to seniors who had done similar projects many times before.

Natania Birnbaum - Yeshiva University

Course: Raspberry Pi for Beginners

Sean was a dynamic speaker and the hands-on exercises were very interesting and I can see how they will be really applicable.

Temira Koenig - Yeshiva University

Course: Raspberry Pi for Beginners

Really hands on

Yeshiva University

Course: Raspberry Pi for Beginners

Rod seemed very knowledgeable and enthusiastic about the course material.

Kyle Stirling - University of Glasgow

Course: Arduino: Programming a Microcontroller for Beginners

The aquisition of useful knowlwdge and clarification of some things I was not sure of peviously.

Kenneth Mahoney - University of Glasgow

Course: Arduino: Programming a Microcontroller for Beginners

I already had a little knowledge of Arduino, so it was good to hear more about the background of arduino, what it can be used for, and the resources available for help.

University of Glasgow

Course: Arduino: Programming a Microcontroller for Beginners

Microcontroller Course Outlines

Course Name

Duration

Overview

Course Name

Duration

Overview

Advanced Embedded Systems Development

35 hours

This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

Arduino Programming for Beginners

21 hours

In this instructor-led, live training in the US, participants will learn how to program the Arduino for real-world usage, such as to control lights, motors and motion detection sensors. This course assumes the use of real hardware components in a live lab environment (not software-simulated hardware). By the end of this training, participants will be able to:

Program Arduino to control lights, motors, and other devices.
Understand Arduino's architecture, including inputs and connectors for add-on devices.
Add third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
Understand the various options in programming languages, from C to drag-and-drop languages.
Test, debug, and deploy the Arduino to solve real world problems.

Microcontroller Design

35 hours

This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to learn the design principles of microcontroller design.

Raspberry Pi for Beginners

14 hours

Raspberry Pi is a very small, single-board computer. In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system. By the end of this training, participants will be able to:

Set up an IDE (integrated development environment) for maximum development productivity
Program Raspberry Pi to control devices such as motion sensor, alarms, web servers and printers.
Understand Raspberry Pi's architecture, including inputs and connectors for add-on devices.
Understand the various options in programming languages and operating systems
Test, debug, and deploy the Raspberry Pi to solve real world problems

Audience

Developers
Hardware/software technicians
Technical persons in all industries
Hobbyists

Format of the course

Part lecture, part discussion, exercises and heavy hands-on practice

Note

Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
Participants are responsible for purchasing the Raspberry Pi hardware and components.

Tensorflow Lite for Microcontrollers

21 hours

This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices. By the end of this training, participants will be able to:

Install TensorFlow Lite.
Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
Add AI to hardware devices without relying on network connectivity.

Last Updated: 2023-11-15