A Complete Guide: Introduction to IoT and Embedded Systems Training
IoT or the Internet of Things is a system of interrelated mechanical and digital devices with the ability to transfer data over a network without the requirement of human-to-human or human-to-computer interaction. With the increasing demand and use of data, thousands of companies are now using IoT to understand customers and improve decision-making to increase business value. On the opposite side, an embedded system is a microprocessor-based computer hardware system that is designed to perform a specific function as a part of a large system or as an independent system. It helps the companies to carry out computation for real-time operations.
What after earning Introduction to IoT and Embedded Systems Training? Your job responsivities will include the process of knowing Internet structure, working with the Internet of Things, knowing the way embedded systems interact with the physical world, describing the actual meaning of a network protocol, working with the interface of an embedded system, explaining MANETs and their relation to IoT, knowing the use of networking, describe the role of an operating system to support software in an IoT device, work with the recent technologies associated with IoT, describe the role of an OS to support software in an IoT device, and describe the interface between hardware and software in an IoT device. Let’s check the basic requirements of pursuing this training.
You are supposed to carry working knowledge of File I/O Concepts to earn this course. However, CSE-40476 C/C++ Programming II: Dynamic Memory and ECE-40153 Introduction to Embedded Systems are the basic prerequisites of this course. This course is ideal for Electronic solution providers, Electronic product manufacturers, Wireless service providers, Wireless infrastructure providers, Wireless device manufacturers, and IoT solution providers. IoT components are getting cheaper and easily available. You will become a master of making design trade-offs between hardware and software after you have successfully completed this Introduction to Embedded Machine Learning Training. That’s why people are now innovating new designs and introducing new products to connect those with this technology.
