Top 7 Essential IoT Skills to Boost Your Career

Here are some essential skills IoT professionals need to keep up with in what some have dubbed the “IoT explosion.”

1. Artificial Intelligence and Machine Learning

IoT and AI are converging to create artificial intelligence of things (AIoT). Gartner predicts that more than 80% of enterprise IoT projects will include some AI component by 2022.

IoT devices collect vast amounts of data called sensor data, which organizations then analyze. For example, a manufacturing plant might use IoT sensors to report site temperatures, which are then entered into a database that tracks temperature data across all sites. AI and machine learning can then help database administrators organize data, determine how to maintain the right temperature, and optimize the facility. The use of AI also facilitates predictive analysis to improve the environment in the future. AI makes the data that IoT devices collect useful, helps filter out unnecessary data from big data stores and performs complex data analysis using data science.

Learn how AI brings new abilities IoT devices for the edge.

IoT professionals will need a diverse skill set that enables them to develop and maintain IoT infrastructure at each level of the technology stack.

2. Node.js Development

Node.js is a popular open source development environment for developers who want to pivot into the IoT space. Node.js is often used in conjunction with connected devices such as Arduino and Raspberry Pi.

Arduino is a single-board microcontroller best known for making embedded programming easier by interfacing with sensors and other inputs and outputs. The Raspberry Pi is a low-cost, miniature, single-board computer used as a lightweight software development tool, such as Python and Node.js. Both the tools are good learning tools for those who want to get into these languages ​​in an IoT context. Node.js enables Arduino and Raspberry Pi to communicate with each other.

Node.js is suitable for a distributed IoT environment, processing real-time data quickly. It can handle multiple tasks at once due to its asynchronous, event-driven input/output model.

know about some Features of Node.js 14One of the latest iterations of this server-side runtime environment.

3. Mobile App Development

Mobile apps often control IoT devices, so it’s important for IoT developers to know how to build user-friendly, high-performance mobile apps. IoT applications must also be cross-platform and able to communicate effectively with a range of cloud servers and hardware. Like most aspects of IoT, mobile apps must perform well with real-time data.

learn the basics of how to develop mobile application for IoT implementation.

4. API Automation and Testing

Application programming interfaces (APIs) enable IoT devices to exchange real-time data efficiently and accurately; It is how IoT devices communicate with each other. Therefore, it is important for IoT professionals to be proficient in API testing. Due to the complex and distributed nature of IoT, it is also important to automate tests where possible.

An example test case for IoT would be to ensure that a certain physical state picked up by a sensor is properly represented in the program. Another example is testing what happens when the data structure of an IoT monitoring system is updated. For example, will changing the way the data is organized within the system change the way the data is processed? Any change should be noted and tested to ensure that the desired change occurred.

Sharpen Your API Testing Skills With this best practices checklist.

5. Information Security

Infosec professionals are in great demand in the IoT space. Securing IoT infrastructure is difficult because of the array of implementations and devices involved in IoT. This area requires security engineers to be creative and adaptable in how they conduct vulnerability assessments, accounting for both physical and logical vulnerabilities in IoT endpoints. There is also demand for security personnel who are proficient with tools from specific vendors, such as Orbit, a business management platform, and Cloudflare, a secure content delivery network.

One weakness of IoT – especially industrial IoT – is password protection. Often, administrators neglect to change the default password set by the manufacturer, as many devices in this space are not ready for use. They work autonomously most of the time and do not have access to regular users. Unchanged passwords make it much easier for intruders to guess common passwords and break into IoT systems to steal data or perform network reconnaissance.

Learn some best practices for password sanitization.

6. UI/UX Design

The security issue of IoT and the need for competent user interface and user experience designers go hand in hand. The more user-friendly an IoT device is, the easier it is for security personnel to dynamically update security settings.

Good user experience also makes it easy for users to understand how a given IoT product provides value to their organization. With all the information IoT devices generate, good UX and responsive web design are critical to creating a secure flow of data from sensors to applications to people. UX designers in the IoT space need to be able to collaborate with IoT software developers to make this a reality.

7. Cloud Computing

Distributed cloud computing framework is an important concept for IoT professionals. Instead of processing data entirely at the edge – closest to the place in a network where the data is created – or in a centralized cloud database, distributed computing blends both approaches, with some data stored at the edge and some centrally. processes from Time-critical data or data requiring less processing can be processed at the edge and closer to the source. Data that is not time sensitive or requires more intensive processing can be sent to a centralized location away from the source.

Learn how the IoT edge cloud strikes the right balance edge and cloud computing for IoT implementation.