Want to become a part of the growing IoT developer community? This course teaches you how to write C-language software that controls input and output from sensors and electrical components connected to Raspberry Pi and Arduino-compatible embedded devices.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Introduction to Device Programming for IoT: C Edition course:
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
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Everything you need to know about this online course, from duration to certification
This course is part of the Microsoft Professional Program Certificate in IoT.We all know that smart devices play a big role in our day-to-day lives, and that more devices pop up every day. Have you considered that there needs to be a developer behind the scenes for every one of those devices? If you’re ready to change the world by converting the envisioned gadgets of tomorrow into digital reality, join this course and take your first steps toward programming for the Internet of Things. Learn the basics of embedded device programming by implementing various projects on Raspberry Pi and MXChip AZ3166 devices (the AZ3166 is Arduino-software compatible). Learn how to write the software that controls the hardware (temperature sensors, photo cells, and more), and get started making a difference with procedural programming.Begin with an intro to embedded programming, exploring embedded device types and the inputs and outputs for devices and sensors. Then work your way through a series of hands-on lab projects that teach you how to develop the hardware/software interface, help you to understand C programming for embedded devices, and explore basic data management for a resource-constrained device. From there, dive into embedded solutions that use your own circuit designs to solve real-world problems.After completing this course, students will be able to develop embedded device systems that capture and process data from analog and digital sensors commonly found in IoT solutions.NOTE: The lab project work in this course is based on the hardware found in the Microsoft IoT Pack for Raspberry Pi and the MXChip IoT DevKit.You may want to purchase in advance of starting the course.
Difficulty Level
Introductory
Suitable for motivated learners
Subject Category
Computer Science
Part of our Computer Science curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Professional Course
Investment around $99
Pricing may vary. Check the course provider for current promotions and exact pricing.
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