Raspberry Pi Opplæringskurs

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 er en veldig liten, enkeltbord datamaskin. I denne instruktørledede, live-trening, vil deltakerne lære hvordan å sette opp og programmere Raspberry Pi for å tjene som et interaktivt og kraftig innebygd system. Ved slutten av denne treningen vil deltakerne være i stand til å:

Opprettelse av en IDE (integrert utviklingsmiljø) for maksimal utviklings produktivitet Program Raspberry Pi for å kontrollere enheter som bevegelsessensor, alarmer, webserver og skrivere. Forstå Raspberry Pi's arkitektur, inkludert input og koblinger for add-on-enheter. Forstå de ulike alternativene i programmeringsspråk og operativsystemer Test, debug, og implementere Raspberry Pi for å løse virkelige problemstillinger

Publikum

Utviklere Hardware / programvare teknikere Tekniske personer i alle bransjer Hobbyister

Format av kurset

Delvis forelesning, delvis diskusjon, øvelser og tung praksis

Notat

Raspberry Pi støtter ulike operativsystemer og programmeringsspråk. Dette kurset vil bruke Raspbian som operativsystem og Python som programmeringsspråk. For å be om en spesifikk innstilling, vennligst kontakt oss for å arrangere. Deltakerne er ansvarlige for kjøp av Raspberry Pi maskinvare og komponenter.

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.