Embedded Systems using C
Embark on a comprehensive journey into Embedded Systems with this course. Module 1, "Introduction to Embedded Systems," lays the foundation by exploring principles, architectures, and essential devices. In Module 2, "Programming Fundamentals in C," participants master C programming essentials, including operators, storage classes, and flow control structures. Transitioning to Module 3, "Advanced Concepts in C for Embedded Systems," participants delve into functions, arrays, pointers, and string manipulation techniques. By the course's conclusion, participants emerge equipped with the knowledge
Skills you'll learn
We may earn a commission if you enroll through our links — it never affects the price you pay.
Similar courses
Using Sensors With Your Raspberry Pi
This course on integrating sensors with your Raspberry Pi is course 3 of a Coursera Specialization and can be taken separately or as part of the specialization. Although some material and explanations from the prior two courses are used, this course largely assumes no prior experience with sensors or data processing other than ideas about your own projects and an interest in building projects with sensors. This course focuses on core concepts and techniques in designing and integrating any sensor, rather than overly specific examples to copy. This method allows you to use these concepts in y
All levels
Device-based Models with TensorFlow Lite
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. This second course teaches you how to run your machine learning models in mobile applications. You’ll learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms. Finally, you’ll explore how to deploy on embedded systems using TensorFlow on Raspberry Pi and microcontrollers. This Specialization builds u
All levels
Elements of Computer Aided Manufacturing
In this course, learners will be introduced to the fundamental concepts of computer-aided manufacturing and its implementation through open-source software. The course involves topics related to Computer-Aided Manufacturing (CAM), Computer-Aided Process Planning (CAPP), Essentials of CNC machines and Robotic Arms, NC programming, and Toolpath generation through open-source software and CAD/CAM tools PowerShape and PowerMill. This course is best suited for undergraduate students in mechanical engineering. Professionals working across IoT, Product Design, Materials, Mechanics, and System Design
All levels
IoT Hardware Projects with SwiftIO Playground
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive into the exciting world of IoT with SwiftIO Playground. In this hands-on course, you'll embark on 46 unique playground projects, ranging from basic LED control to complex applications such as weather stations, accelerometer-based locks, and even Tic-Tac-Toe games. Each project helps you build real-world IoT systems using Swift code and hardware, empowering you to dev
All levels