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. Virginia onsite live Raspberry Pi trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
VA, Stafford - Quantico Corporate
800 Corporate Drive, Suite 301, Stafford, united states, 22554
The venue is located between interstate 95 and the Jefferson Davis Highway, in the vicinity of the Courtyard by Mariott Stafford Quantico and the UMUC Quantico Cororate Center.
VA, Fredericksburg - Central Park Corporate Center
1320 Central Park Blvd., Suite 200, Fredericksburg, united states, 22401
The venue is located behind a complex of commercial buildings with the Bank of America just on the corner before the turn leading to the office.
VA, Richmond - Two Paragon Place
Two Paragon Place, 6802 Paragon Place Suite 410, Richmond, United States, 23230
The venue is located in bustling Richmond with Hampton Inn, Embassy Suites and Westin Hotel less than a mile away.
VA, Reston - Sunrise Valley
12020 Sunrise Valley Dr #100, Reston, United States, 20191
The venue is located just behind the NCRA and Reston Plaza Cafe building and just next door to the United Healthcare building.
VA, Reston - Reston Town Center I
11921 Freedom Dr #550, Reston, united states, 20190
The venue is located in the Reston Town Center, near Chico's and the Artinsights Gallery of Film and Contemporary Art.
VA, Richmond - Sun Trust Center Downtown
919 E Main St, Richmond , united states, 23219
The venue is located in the Sun Trust Center on the crossing of E Main Street and S to N 10th Street just opposite of 7 Eleven.
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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Testimonials (2)
Practical examples and wider context given.
James - Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)
Course - IoT Programming with Python
Sean was a dynamic speaker and the hands-on exercises were very interesting and I can see how they will be really applicable.
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