The 5 best Embedded Systems & IoT courses in 2026

Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Thanks to this, running deep neural networks and other complex machine learning algorithms is possible on low-power devices like microcontrollers. This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers, which is known as embedded machine

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

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

With Amazon Kinesis Video Streams, you can build media streaming applications for Internet of Things (IoT) video devices and real-time computer vision machine learning (ML) applications. In this course, you will learn the benefits and technical concepts of Kinesis Video Streams. If you are new to the service, you will learn how to start using Kinesis Video Streams through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify image extraction through APIs or automated image extraction from metadata tag

This hands-on course teaches working professionals and engineering students how to design, build, and deploy intelligent analytics dashboards without writing code. Using AI-native no-code platforms (Glide, Softr, Bubble, Retool, Zapier Tables, and ChatGPT/Claude-driven data tools), learners will build a single end-to-end capstone project: "GreenPulse Analytics" a Smart ESG (Environmental, Social, Governance) & Energy Consumption Dashboard for mid-sized manufacturing plants. Instead of the common sales/marketing dashboard, this uncommon but high-demand use case covers IoT-style sensor data, ano