NP Classroom - Thimphu

near Le Méridien , Chorten Lam, Thimphu, Bhutan, 11001

Set in Thimphu, this classroom is well located in Chorten Lam with all amenities and WiFi.

For Sales En...

NP Classroom - Paro

near Le Méridien Riverfront, thimphu hwy, Shaba, Paro, Bhutan, 12001

Set in Paro, this classroom is well located near Paro-Thimphu Highway around 4 km from the airport, and 7 km from Rinpung ...

Explore Our Courses

IoT Programming with Python

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
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.
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Introduction to IoT Using Raspberry Pi

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
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.
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Raspberry Pi for Beginners

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
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.
Read more...

Raspberry Pi + OpenCV for Facial Recognition

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.
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.
Read more...

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Testimonials (18)

Practical examples and wider context given.

James - Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)
Course - IoT Programming with Python

The trainer was very interactive and steadily paced.

Carolyn Yaacoby - Yeshiva University
Course - Raspberry Pi for Beginners

Wojciech and NobleProg focused the itinerary to feet my needs.

christopher Connelly - NEETRAC / GA TECH
Course - UNIX/Linux Shell Scripting

- adapting to all course participants - cool, illustrative examples

Katarzyna - Rossmann SDP Sp. z.o.o
Course - Introduction to Linux

Machine Translated

A lot of exercises and explanations

Ionut Alixandru - Siemens
Course - Introduction to Linux

I liked that the content of the training was made in such a way that it was easy to follow, with a number of exercises and examples made to help us understand better.

Ramona - Siemens
Course - Introduction to Linux

The trainer was very patient and answered all the questions no matter how stupid or complex they are.

Cristina - Siemens
Course - Introduction to Linux

The right person in the right place, the presenter was brilliant, he presented the issues in an accessible way, explained them in detail, looked for solutions to problems, the pace of work was adequate to the issues discussed, plus perfect diction and a radio voice that made the presenter very easy to listen to. It was clear that this topic was his passion, he talked about it with great passion and commitment

Magdalena - Aplitt Sp. z o.o.
Course - Linux System Administration

Machine Translated

patience, approach to topics and students

Marta - Aplitt Sp. z o.o.
Course - Linux System Administration

Machine Translated

The way of conducting, transferring knowledge and arousing interest so that the trainees focus.

Marcin - Aplitt Sp. z o.o.
Course - Linux System Administration

Machine Translated

Very well structured and delivered information, a lot of practical exercises to help the knowledge transfer, the trainer responded to every question and helped everyone.

Catalin - DB Global Technology
Course - Linux Administration Fundamentals

Rod is the most passionate and friendly trainer.

Zsolt - DB Global Technology
Course - Linux Administration Fundamentals

The information delivery manner.

DIANA-SMARANDA - DB Global Technology
Course - Linux Administration Fundamentals

The trainer, the lectures and the way they were delivered to us.

Ramona Pluta - DB Global Technology
Course - Linux Administration Fundamentals

Trainer Rod was very knowledgeable and i found it very easy to learn from him!

Cristian Constantinescu - DB Global Technology
Course - Linux Administration Fundamentals

file permissions

Angel - Vodacom
Course - Linux Command Line Basics

playing on command-line

Kesh - Vodacom
Course - Linux Command Line Basics

The extra informations not in the official docs

Sayf Eddine HAMMEMI - SCALITY SA
Course - Go for Systems Programming
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