Arduino Kurzusok

Arduino Kurzusok

Helyi, oktatott élő Arduino bemutatja a handson gyakorlatot, hogyan kell programozni az Arduino-t, hogy irányítsa a valós világ elektronikus és mechanikus berendezéseit, beleértve a fényeket, motorokat és mozgásérzékelőket Az Arduino tréning elérhető "helyszíni élő edzés" vagy "távoli élő képzés" formájában A helyszíni élő képzés helyi szinten valósulhat meg az ügyfél telephelyén Magyarország vagy a NobleProg vállalati oktatóközpontjaiban Magyarország A távoli élőképzés interaktív, távoli asztal segítségével történik NobleProg Az Ön Helyi Képzési Szolgáltatója.

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Arduino Course Outlines

Kurzusnév
Időtartalma
Összefoglaló
Kurzusnév
Időtartalma
Összefoglaló
21 hours
Összefoglaló
In this instructor-led, live training in Magyarország, participants will learn how to program the Arduino for real-world usage, such as to control lights, motors and motion detection sensors. This course assumes the use of real hardware components in a live lab environment (not software-simulated hardware).

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

- Program Arduino to control lights, motors, and other devices.
- Understand Arduino's architecture, including inputs and connectors for add-on devices.
- Add third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
- Understand the various options in programming languages, from C to drag-and-drop languages.
- Test, debug, and deploy the Arduino to solve real world problems.
14 hours
Összefoglaló
In this instructor-led, live training in Magyarország, participants will learn the fundamentals of IoT as they step through the creation of an Arduino-based IoT sensor system.

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 use Arduino communication modules that can be used for different IoT systems.
- Learn how to use and program a mobile app to control Arduino.
- Use a Wi-Fi module to connect the Arduino to another device.
- Build and deploy their own IoT Sensor System.
28 hours
Összefoglaló
In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language.

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

- Build and operate a robotic system that includes both software and hardware components
- Understand the key concepts used in robotic technologies
- Assemble motors, sensors and microcontrollers into a working robot
- Design the mechanical structure of a robot

Audience

- Developers
- Engineers
- Hobbyists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:

- Arduino board
- Motor controller
- Distance sensor
- Bluetooth slave
- Prototyping board and cables
- USB cable
- Vehicle kit

- Participants will need to purchase their own hardware.
- If you wish to customize this training, please contact us to arrange.
14 hours
Összefoglaló
In this instructor-led, live training in Magyarország, participants will learn how to program the Arduino using advanced techniques as they step through the creation of a simple sensor alert system.

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

- Understand how Arduino works.
- Dig deep into the main components and functionalities of Arduino.
- Program the Arduino without using the Arduino IDE.
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Kedvezmények tanfolyamokra

Hírlevél kedvezmény

Tiszteletben tartjuk az Ön e-mail címét. Nem fogjuk továbbítani és nem adjuk el a címet más feleknek. Bármikor megváltoztathatja preferenciáit vagy leiratkozhat.

Néhány ügyfelünk

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We are looking for a good mixture of IT and soft skills in Hungary!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
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  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

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