Online Raspberry Pi Training in the UAE

The Internet of Things (IoT) is a network framework that connects physical devices and software applications wirelessly, enabling them to communicate with one another and exchange data through network communications, cloud computing, and data capture. Python, a high-level programming language known for its clear syntax and extensive community support, is highly recommended for IoT development.

In this instructor-led live training session, participants will learn how to develop IoT solutions using Python.

By the end of the training, participants will be able to:

• Grasp the fundamentals of IoT architecture
• Familiarize themselves with the basics of Raspberry Pi usage
• Install and configure Python on a Raspberry Pi
• Understand the advantages of using Python for programming IoT systems
• Create, test, deploy, and troubleshoot an IoT system utilizing Python and Raspberry Pi

Audience

• Developers
• Engineers

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Note

• To request a customized training for this course, please contact us to arrange the details.

The Internet of Things (IoT) is a network infrastructure that connects physical devices and software applications wirelessly, enabling them to communicate with each other and exchange data through network communications, cloud computing, and data capture.

In this instructor-led live training session, participants will learn the basics of IoT as they go through the process of creating an IoT sensor system using the Raspberry Pi.

By the end of this training, participants will be able to:

• Grasp the principles of IoT, including its components and communication methods
• Set up the Raspberry Pi specifically for IoT applications
• Create and deploy their own IoT Sensor System

Audience

• Hobbyists
• Hardware/software engineers and technicians
• Technical individuals across all industries
• Beginner developers

Course Format

• Mixed lecture, discussion, exercises, and extensive hands-on practice

Note

• The Raspberry Pi supports multiple operating systems and programming languages. This course will use the Linux-based Raspbian as the operating system and Python for programming. For a specific setup request, please contact us to arrange.
• Participants must purchase their own Raspberry Pi hardware and components.

The Raspberry Pi is a compact single-board computer.

In this instructor-led live training session, participants will learn how to configure and program the Raspberry Pi to function as an interactive and robust embedded system.

By the conclusion of this training, participants will be able to:

• Set up an IDE (integrated development environment) for optimal development efficiency
• Program the Raspberry Pi to control devices such as motion sensors, alarms, web servers, and printers
• Comprehend the architecture of the Raspberry Pi, including its inputs and connectors for additional devices
• Familiarize themselves with different programming languages and operating systems available
• Test, debug, and deploy the Raspberry Pi to address real-world challenges

Audience

• Software developers
• Hardware/software technicians
• Technical professionals across various industries
• Hobbyists

Course Format

• The course includes a mix of lectures, discussions, exercises, and extensive hands-on practice.

Note

• The Raspberry Pi supports multiple operating systems and programming languages. This course will utilize the Linux-based Raspbian operating system and Python programming language. For a specific setup, please contact us to arrange.
• Participants are responsible for purchasing their own Raspberry Pi hardware and components.

This instructor-led live training course introduces the necessary software, hardware, and step-by-step procedures for constructing a facial recognition system from the ground up. Facial Recognition is alternatively referred to as Face Recognition.

The lab equipment includes a Raspberry Pi, camera module, servos (optional), among others. Participants must procure these components independently. The software utilized encompasses OpenCV, Linux, Python, and other tools.

Upon completion of this training, participants will be able to:

• Install Linux, OpenCV, and additional software utilities and libraries on a Raspberry Pi.
• Configure OpenCV for capturing and detecting facial images.
• Explore various packaging options for deploying a Raspberry Pi system in real-world settings.
• Tailor the system to accommodate diverse use cases such as surveillance and identity verification.

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

Note

• Alternative hardware and software options include Arduino, OpenFace, Windows, etc. If you wish to use any of these alternatives, please contact us to make arrangements.