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.

You'll learn
Yocto Project Terminology: poky, bitbake, oe-core, metadata, recipe, classes, configuration, layers, image and packages
Setting up build environment for Yocto development
Build an image and run it in QEMU for x86-64 and ARM architecture
Understand and explore the various directories: source and build
Booting Process in Beagle Bone Black and Raspberry Pi3
Build and flash Yocto Image on Beagle Bone Black and Raspberry Pi3
Various Yocto Project Releases and Frequency, which one to choose

You'll learn
A solid foundation on A to Z of interrupts
Using External interrupts
Using Timer/Counter interrupts
Using Serial interrupts
Understanding RTOS
Priorities & Deadlines
Scheduling algorithms like Round Robin, Rate-monotonic and Earliest Deadline First
Tasks and Processes

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.

Nvidia tutorials _ Jetson Ai fundamentals

Step-by-step guide to getting started, getting good, and mastering Computer Vision, Deep Learning, and OpenCV.

The Internet of Things is here and it has brought tremendous new opportunities, and tooling learning requirements, with it. This course will introduce you to Azure IoT Hub and teach you how to build both device-side and cloud-side solutions.