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. Kazakhstan onsite live Microcontroller trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
Sean was knowledgeable and helpful!
Course: Arduino Programming for Beginners
Just getting off the ground and doing some basic things was super useful
Remy Pieron - Facebook
Course: Arduino Programming for Beginners
The exercises were very fun and I could see using these in the future.
Course: Arduino Programming for Beginners
relaxed and informal environment plenty of help during worked examples
bernard hoey - University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
I enjoyed the training was delivered by someone with experience in the field.
Nicholas Scott - University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
I found the balance of "white board" teaching versus practical "hands-on" learning was just right for an Arduino introductory course, and the pace was also appropriate.
Neil Owen - University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
2 days of no interptions, which enabled me to concentrate on the task in hand.
University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
Rod's style was entertaining.
Tom O'Hara - University of Glasgow
Course: Arduino: Programming a Microcontroller 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
The trainer was very interactive and steadily paced.
Carolyn Yaacoby - Yeshiva University
Course: Raspberry Pi for Beginners
Very applicable exercises directly following each lecture. Sean gave each group individualized attention to figure out the solutions without just showing the code.
Jennifer Peled - Yeshiva University
Course: Raspberry Pi for Beginners
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
Microcontroller Course Outlines in Kazakhstan
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
In this instructor-led, live training in Kazakhstan, 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.
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
- Developers
- Hardware/software technicians
- Technical persons in all industries
- Hobbyists
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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.
35 hours
This instructor-led, live training in Kazakhstan (online or onsite) is aimed at engineers who wish to learn the design principles of microcontroller design.
35 hours
This instructor-led, live training in Kazakhstan (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).
21 hours
This instructor-led, live training in Kazakhstan (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.
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