현지의 강사 라이브 마이크로 컨트롤러 교육 과정은 조명, 모터 및 모션 감지 센서와 같은 실제 장치 제어에 사용하기 위해 마이크로 컨트롤러를 설정하고 프로그래밍하는 방법을 핸드 슨 연습을 통해 보여줍니다 마이크로 컨트롤러는 인쇄 및 웹 서비스와 같은 전용 작업을위한 완벽한 서버 시스템으로 사용할 수도 있습니다 마이크로 컨트롤러 교육은 "현장 실습"또는 "원격 실습"으로 이용할 수 있습니다 현장 실습은 고객 구내에서 현지에서 실시 할 수 있습니다 대한민국 또는 NobleProg 기업 교육 센터에서 대한민국 원격 라이브 교육은 대화 형 원격 데스크톱을 통해 수행됩니다 NobleProg 지역 교육 제공자.
Machine Translated
회원 평가
나는 이미 아 두 이노의 약간의 지식을가지고, 그래서 아 두 이노의 배경에 대해 더 많은 것을 듣고, 그것을 위해 사용 될 수 있는, 그리고 도움이 되는 리소스를 했다.
University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
Machine Translated
유용 놀 루크의 인수 및 몇 가지 것 들의 명확한 내가 확실 하지 않았다.
Kenneth Mahoney - University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
Machine Translated
로드는 과정 자료에 대 한 지식이 풍부 하 고 열정적으로 보였다.
Kyle Stirling - University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
Machine Translated
로드의 스타일은 재미 있었다.
Tom O'Hara - University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
Machine Translated
2 일 동안 아무런 interptions, 나는 손에 작업에 집중할 수 있었습니다.
University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
Machine Translated
나는 ' 화이트 보드 ' 교육 대 실용적인 ' 실습 '의 균형을 발견 하는 것은 아 두 이노 입문 과정에 딱 적합 하 고, 속도는 적절 했다.
Neil Owen - University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
Machine Translated
나는 현장에서 경험이 있는 사람에 의해 전달 된 훈련이 즐겼다.
Nicholas Scott - University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
Machine Translated
편안 하 고 비공식적인 환경 작업 예제 동안 많은 도움
bernard hoey - University of Glasgow
Course: Arduino: Programming a Microcontroller for Beginners
Machine Translated
Microcontroller코스 개요
코스 이름
Duration
Overview
코스 이름
Duration
Overview
21 시간
Overview
In this instructor-led, live training in 대한민국, 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.
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 시간
Overview
Raspberry Pi is a very small, single-board computer.
In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system.
By the end of this training, participants will be able to:
- Set up an IDE (integrated development environment) for maximum development productivity
- Program Raspberry Pi to control devices such as motion sensor, alarms, web servers and printers.
- Understand Raspberry Pi's architecture, including inputs and connectors for add-on devices.
- Understand the various options in programming languages and operating systems
- Test, debug, and deploy the Raspberry Pi to solve real world problems
Audience
- Developers
- Hardware/software technicians
- Technical persons in all industries
- Hobbyists
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.
In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system.
By the end of this training, participants will be able to:
- Set up an IDE (integrated development environment) for maximum development productivity
- Program Raspberry Pi to control devices such as motion sensor, alarms, web servers and printers.
- Understand Raspberry Pi's architecture, including inputs and connectors for add-on devices.
- Understand the various options in programming languages and operating systems
- Test, debug, and deploy the Raspberry Pi to solve real world problems
Audience
- Developers
- Hardware/software technicians
- Technical persons in all industries
- Hobbyists
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.
35 시간
Overview
This instructor-led, live training in 대한민국 (online or onsite) is aimed at engineers who wish to learn the design principles of microcontroller design.
35 시간
Overview
This instructor-led, live training in 대한민국 (online or onsite) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).
21 시간
Overview
This instructor-led, live training in 대한민국 (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices.
By the end of this training, participants will be able to:
- Install TensorFlow Lite.
- Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
- Add AI to hardware devices without relying on network connectivity.
By the end of this training, participants will be able to:
- Install TensorFlow Lite.
- Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
- Add AI to hardware devices without relying on network connectivity.
향후Microcontroller 코스
2021-07-14 10:00:00
14 hours
2021-07-21 10:00:00
21 hours
2021-07-26 10:00:00
35 hours
2021-08-03 10:00:00
21 hours
2021-08-23 10:00:00
35 hours
Other countries
Consulting
주말Microcontroller코스, 밤의Microcontroller트레이닝, Microcontroller부트 캠프, Microcontroller 강사가 가르치는, 주말Microcontroller교육, 밤의Microcontroller과정, Microcontroller코칭, Microcontroller강사, Microcontroller트레이너, Microcontroller교육 과정, Microcontroller클래스, Microcontroller현장, Microcontroller개인 강좌, Microcontroller1 대 1 교육
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