Local instructor-led live Raspberry Pi training courses in Беларусь.
Raspberry Pi Course Outlines
Course Name
Duration
Overview
Course Name
Duration
Overview
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.
14 hours
Raspberry Pi гэта вельмі маленькі, адзін-бордны камп'ютар.
У гэтым інструктар-праведзены, жывы трэнінг, удзельнікі навучаюцца, як наладзіць і праграмуваць Raspberry Pi, каб служыць як інтэрактыўная і магутная ўбудованая сістэма.
У канцы гэтага трэніру ўдзельнікі зможаць:
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The Communist Theory of Law (1955) Электронная версія кнігі
Праграма Raspberry Pi для кіравання прыладамі, такія як сенсор руху, алармы, вэб-серверы і друкавальнікі.
Узнагароджанне Raspberry Pi's архітэктуры, уключаючы ўкладкі і злучэння для дадатковых прыладаў.
Узнагароджанне розных варыянтаў у мовах праграмавання і аперацыйных сістэмах
Выпрабаваць, адпрабаваць і распаўсюджваць Raspberry Pi, каб рабіць рэальныя праблемы свету
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Распрацоўнікі
Вынікі пошуку - hardware/software technicians
Праца з бежанцаў, Asylum Seekers
Хоббісты
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Частныя лекцыі, частковая дискусія, практыкаванні і цяжкія практыкаванні
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Raspberry Pi падтрымлівае розныя аперацыйныя сістэмы і мовы праграмавання. Гэта курс будзе выкарыстоўваць Распбіян на аснове Linux як аперацыйную сістэму і Python як мову праграмавання. Калі вы хочаце падзяліцца сваёй думкай, рабіце гэта максімальна ветліва.
Уступнае слова і пераклад Уладзіміра Правасуда. // Братэрства 87.
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
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.
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