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. Onsite live Raspberry Pi trainings in Israel can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
Practical examples and wider context given.
James - Jahedul Chowdhury , Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)
Course: IoT Programming with Python
hands on exercise
Jahedul Chowdhury , Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)
Course: IoT Programming with Python
Case studies related IoT.
University of the Western Cape
Course: Introduction to IoT Using Raspberry Pi
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
Raspberry Pi Course Outlines in Israel
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
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
- Developers
- Engineers
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
14 hours
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
- Hobbyists
- Hardware/software engineers and technicians
- Technical persons in all industries
- Beginner developers
- 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.
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.
21 hours
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.
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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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