Online or onsite, 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 "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. The US onsite live Raspberry Pi trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
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
Covered Linux basics which was very helpful to understand the rest of the course Good pace and good communication
Richard Copley - Egress Software Technologies
Course: Linux System Administration
Executing commands myself and learning what some of the Linux 'code' actually means.
Paul Tosseano - Egress Software Technologies
Course: Linux System Administration
Engaging exercizes, perfect pace
Hannah Clough - Egress Software Technologies
Course: Linux System Administration
Many positives. I came to the training to get a better understanding of Unix and I certainly can go back to work with a lot more knowledge which was my main goal.
Ben Frijters - Argenta Spaarbank NV
Course: Intermediate Unix
Delivery and Lab
Egress Software Technologies
Course: Linux System Administration
There were lots of exercizes, which was really good.
James Eyre - Egress Software Technologies
Course: Linux System Administration
The most striking thing for me was the trainer's use of talking to the group in the way "Look", "Look", "Now use this command" - this is a fairly well-known and effective method of maintaining focus among listeners. In addition, extensive knowledge of the teacher. which he can convey in an accessible way.
Motorola Solutions Systems Polska Sp. z o.o
Course: Linux System Administration
Machine Translated
The trainer has a lot of substantive knowledge and communicates well with the audience.
Motorola Solutions Systems Polska Sp. z o.o
Course: Linux System Administration
Machine Translated
The flexibility of the trainer
Dawid Rowinski - IBM Global Services Delivery Centre Polska Sp. z o.o.
Course: UNIX/Linux Shell Scripting
Machine Translated
Lecturer's knowledge and presentation
Adam Gajewski - Advatech Sp. z o.o.
Course: BASH Programming
Machine Translated
good atmosphere and knowledge of the lecturer
Paweł Łukowiak - Advatech Sp. z o.o.
Course: BASH Programming
Machine Translated
everything!
Advatech Sp. z o.o.
Course: BASH Programming
Machine Translated
Knowledge and experience of the host. Examples from a real production environment.
Maciej Blasiak - Advatech Sp. z o.o.
Course: BASH Programming
Machine Translated
knowledge of the trainer
Andrzej Łukasiewicz - Advatech Sp. z o.o.
Course: BASH Programming
Machine Translated
The attitude of the lecturer, who had a lot of knowledge, he knew how to pass it, and he was very nice.
Advatech Sp. z o.o.
Course: BASH Programming
Machine Translated
-
Deloitte Digital Sp. z o.o.
Course: Linux Command Line Basics
Machine Translated
The great place left to the exercizes
ONEM
Course: Introduction to Linux
Machine Translated
the trainer was able to adapt his course in relation to our needs
Pascal Houyoux - ONEM
Course: Introduction to Linux
Machine Translated
The number of exercizes
Jos Couder - ONEM
Course: Introduction to Linux
Machine Translated
interractivité
ONEM
Course: Introduction to Linux
Machine Translated
many exercizes
Jean-Paul Labaisse - ONEM
Course: Introduction to Linux
Machine Translated
Very good training, dynamic and interactive
Agostino Candela - ONEM
Course: Introduction to Linux
Machine Translated
A good refresher of my historical knowledge
ONEM
Course: Introduction to Linux
Machine Translated
availability of the trainer. The explanations are clear.
mostafa el oueriaghli - ONEM
Course: Introduction to Linux
Machine Translated
the exercizes
rudi bernaer - ONEM
Course: Introduction to Linux
Machine Translated
The many practical exercizes
Delphine Agnello - ONEM
Course: Introduction to Linux
Machine Translated
Adapting the content of workshops to the needs of students, striving to address the issue, ability to communicate information
Powiat Lubański
Course: Linux System Administration
Machine Translated
Raspberry Pi Course Outlines
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
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.
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.
14 hours
Overview
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.
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.
14 hours
Overview
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.
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.
21 hours
Overview
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.
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.
Other regions
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Other countries
Consulting
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