You will learn
Fundamentals of machine learning, deep learning, and embedded devices.
How to gather data effectively for training machine learning models.
How to use Python to train and deploy tiny machine learning models.
How to optimize machine learning models for resource-constrained devices.
How to conceive and design your own tiny machine learning application.
How to program in TensorFlow Lite for Microcontrollers.

Spark your creativity with Arm. Level up your Embedded Systems skills by developing working embedded prototypes using the Mbed API and an Arm-based development board, and unlock the boundless opportunities of the Internet of Things.

This document is intended to help users set up the software environment for development of applications using hardware based on the Espressif ESP32. Through a simple example we would like to illustrate how to use ESP-IDF (Espressif IoT Development Framework), including the menu based configuration, compiling the ESP-IDF and firmware download to ESP32 boards.

The node red guide is a series of lectures designed to get you started with Node-RED. Starting from the very basics, it introduces you to how Node-RED works and how to get the most out of its built in nodes. Each lecture consists of a series of hands-on examples that take you from basic to intermediate Node-RED programming in easy to follow steps.

Continuous Integration of C/C++ Apps for IoT Devices with Jenkins, Docker and Conan

Building an Embedded Linux distribution requires significant compute and storage. Delivering solutions with Embedded Linux requires even more savvy given requirements to provide firmware updates to improve security, resiliency, and application capability.

By creating a Continuous Integration (CI) and Continuous Delivery (CD) pipeline for Embedded Linux-based IoT solutions, you improve quality, consistency, and time to market.

But despite all the obstacles and challenges, IoT projects are the solution for viable software development and will soon be unavoidable. Concept Reply has already demonstrated its expertise in numerous IoT projects. In the process, it has gained a series of important insights that can help overcome these challenges.

Software has a longstanding association with a state of crisis considering its success rate. The explosion of Internet-connected devices – Internet-of-Things – adds to the complexity of software systems. The particular characteristics of these systems, such as being large-scale and its heterogeneity, pose increasingly new challenges. In this paper, we first briefly introduce the IoT paradigm and the current state of art of software development.