Local, instructor-led live Raspberry Pi training courses demonstrate through interactive hands-on practice how to program a Raspberry Pi system that interfaces with the physical world.
Raspberry Pi training is available as "onsite live training" or "remote live training". The US onsite live Raspberry Pi trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
Testimonials
★★★★★
★★★★★
As we took the course for doing after the exams, I found really helpful all the tricks that Karl give us.
Карл. ,Verisign Sarl.
Course: Linux Administration Fundamentals
The practical aspect of it, not relying entirely in documentation but showing a lot of practical exercizes that we could follow.
Paula Sofia Silva Rocha Gomes Morais Clavica - Verisign Sarl.
Course: Linux Administration Fundamentals
Carl Linger has many years first-hand experience with red hat - he knows it inside out, and provided a good balance between tips and tricks for taking the RHCSA exam and actual best practices for professional System Administration.
Verisign Sarl.
Course: Linux Administration Fundamentals
I mostly liked the explanation of fundamentals.
Desi Cozier - National Defence / Government of Canada
Course: Linux Administration Fundamentals
The extra informations not in the official docs
Sayf Eddine HAMMEMI - SCALITY SA
Course: Go for Systems Programming
Go tooling
SCALITY SA
Course: Go for Systems Programming
the trainer was able to adapt his course in relation to our needs
Pascal Houyoux - ONEM
Course: Introduction to Linux
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The number of exercizes
Jos Couder - ONEM
Course: Introduction to Linux
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interractivité
ONEM
Course: Introduction to Linux
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many exercizes
Jean-Paul Labaisse - ONEM
Course: Introduction to Linux
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Very good training, dynamic and interactive
Agostino Candela - ONEM
Course: Introduction to Linux
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A good refresher of my historical knowledge
ONEM
Course: Introduction to Linux
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availability of the trainer. The explanations are clear.
mostafa el oueriaghli - ONEM
Course: Introduction to Linux
Translated by
the exercizes
rudi bernaer - ONEM
Course: Introduction to Linux
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The many practical exercizes
Delphine Agnello - ONEM
Course: Introduction to Linux
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Adapting the content of workshops to the needs of students, striving to address the issue, ability to communicate information
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Python is a high-level programming language recommended for IoT due to its clear syntax and large community support.
In this instructor-led, live training, participants will learn how to program IoT solutions with Python.
By the end of this training, participants will be able to:
- Understand the fundamentals of IoT architecture - Learn the basics of using Raspberry Pi - Install and configure Python on Raspberry Pi - Learn the benefits of using Python in programming IoT systems - Build, test, deploy, and troubleshoot an IoT system using Python and Raspberry Pi
Audience
- Developers - Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture.
In this instructor-led, live training, participants will learn the fundamentals of IoT as they step through the creation of an IoT sensor system using the Raspberry Pi.
By the end of this training, participants will be able to:
- Understand the principles of IoT, including IoT components and communication techniques - Learn how to set up the Raspberry Pi specifically for IoT applications - Build and deploy their own IoT Sensor System
Audience
- Hobbyists - Hardware/software engineers and technicians - Technical persons in all industries - Beginner developers
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.
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.
This instructor-led, live training introduces the software, hardware, and step-by-step process needed to build a facial recognition system from scratch. Facial Recognition is also known as Face Recognition.
The hardware used in this lab includes Rasberry Pi, a camera module, servos (optional), etc. Participants are responsible for purchasing these components themselves. The software used includes OpenCV, Linux, Python, etc.
By the end of this training, participants will be able to:
- Install Linux, OpenCV and other software utilities and libraries on a Rasberry Pi. - Configure OpenCV to capture and detect facial images. - Understand the various options for packaging a Rasberry Pi system for use in real-world environments. - Adapt the system for a variety of use cases, including surveillance, identity verification, etc.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- Other hardware and software options include: Arduino, OpenFace, Windows, etc. If you wish to use any of these, please contact us to arrange.
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