Local instructor-led live Raspberry Pi training courses in България.
Raspberry Pi Course Outlines
Име на Kурса
Продължителност
Общ преглед
Име на Kурса
Продължителност
Общ преглед
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 е много малък, единичен компютър.
В това обучение, ръководено от инструктори, участниците ще научат как да установят и програмират Raspberry Pi, за да служат като интерактивна и мощна вградена система.
В края на обучението участниците ще могат да:
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Създаване на IDE (интегрирана среда за развитие) за максимална производителност на развитието
Програма Raspberry Pi за контрол на устройства като сензори за движение, аларми, уеб сървъри и принтери.
Разбиране на Raspberry Pi's архитектура, включително вход и връзки за добавки устройства.
Разбиране на различните възможности в програмен език и операционни системи
Тествайте, дебютирайте и разпространявайте Raspberry Pi, за да разрешите реалните проблеми в света.
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Разработчиците
Софтуерни и хардуерни инженери
Технически лица във всички отрасли
Хобистите
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Частна лекция, частна дискусия, упражнения и тежка практика
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Raspberry Pi Поддържа различни операционни системи и езици за програмиране. Този курс ще използва Raspbian като операционна система и Python като език за програмиране. За да поискате конкретна настройка, моля, свържете се с нас, за да организирате.
Участниците са отговорни за закупуването на Raspberry Pi хардуера и компоненти.
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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