Long Range Wide Area Networks are now being deployed in IoT applications to collect sensor data from a distance. In this course, CEC participants will learn LoRaWAN technology by building a Raspberry Pi Gateway. Participants will use a sensor or mote to send data to a cloud platform (The Things Network). Programming and setup of the Raspberry Pi Gateway Hat along with programming the sensor using Attention (AT) Commands will be presented in the week-long webinar course.

In this course, we will examine how to master FreeRTOS. We’ll start by covering some basic fundamentals about Real-Time Operating Systems like tasks, semaphore, mutexes, and queues. Discuss how to choose the right one and discuss RTOS performance. We’ll then dive into topics about how to architect and RTOS application with FreeRTOS, its custom features like the tickless mode for low power, and the custom signaling built into its tasks. I can focus to be a little hands-on, so developers can set up and use FreeRTOS. I share several flexible strategies for implementing an RTOS application like task tables, and discuss common pitfalls to avoid.

There is nothing more exciting than generating, loading and booting your own embedded Linux image. This week’s lectures will describe how to generate an embedded Linux OS using two popular methods, Buildroot and Yocto Project.

Smart AI Lenses are being used to control and monitor various processes based on tiny vision neural network algorithms. This webinar course will explore the AI technology embedded inside small cameras and displays through hands-on concepts. Participants will learn to program a Smart AI Lens and the Micro:bit Nordic Semiconductor nRF51822 SoC using Blockly Code (No-Code) and MicroPython to detect and process objects, colors, and text. Further, participants will learn how the Smart AI Lens programmed with Blockly code aligns with ABB's Wizard Easy Programming platform for their next-generation industrial collaborative robots.

In this course, we would explore the different design patterns and best practices for developing a software architecture. We’ll look at how to decompose your system into data and use that data to guide the architecture development. We’ll use a simple system like a temperature controller as an example, allowing attendees to see how to decompose an application into a scalable, flexible, and reusable architecture.

Bare metal programming of STM32 devices was originally performed using a combination of the open-source GNU C Compiler (GCC) and System Workbench for STM32. System Workbench for STM32 has been deprecated and replaced with the STM32CubeIDE. The STM32CubeIDE uses a built-in version of the GNU C Compiler and includes the ability to configure peripherals, generate, compile and debug code. This lecture series will showcase the “new” way to code bare metal microcontroller applications.

Tiny Machine Learning (ML) enables AI to be used in small, low-power devices. Tiny ML uses hardware, software, and algorithms to process data on devices without cloud connectivity. In this webinar course, Tiny ML will be explored by the CEC participants using the Arduino Nano 33 BLE Sense and the TensorFlow Lite library.