The internet of things (IoT) has the potential to add 27.1 billion networked devices in 2021, and at the global level, it would be 3.5 networked devices per person, according to Cisco.
In the past years, people termed IoT as an embedded internet, but in the present day, this technology is known to be embedded in multiple aspects of our lives.
Below are a few statistics to concur:
- An average internet user is likely to generate 57.0 gigabytes of internet traffic in a month in 2021 at a global level.
- Also, 71 percent of all internet traffic is predicted to cross content delivery networks in 2021.
So, what you’re all waiting for? Isn’t it the perfect time to move ahead and build a career in IoT?
A McKinsey report also states that by 2023, the number of IoT devices is estimated to reach 43 billion. Owing to the growth of IoT devices, this domain has opened doors for skilled professionals and engineers. As IoT matures, the boom in data will surge, this is when artificial intelligence (AI) plays an instrumental role to achieve high performance.
As a result, picking up an IoT career and an AI career in the present era could be a preferred career choice for techies looking to safeguard their careers.
Let us further delve deeper and talk about the skills required to get into the IoT domain:
To be precise, there’s no fixed eligibility or requirement to get into IoT. However, you’re most likely preferred as a relevant candidate if you have educational qualifications such as an engineering degree in IT, computer science, and electrical or electronics. Now, most colleges offer undergrad courses with at least targeting IoT as a core subject.
For someone looking to get into IoT, below are the other relevant skills:
- Software development: Software development plays a significant role in any tech job. In this case, the engineer needs to be able to develop embedded software to handle raw data. The popular programming languages used in IoT are Python, C, and C++.
- Data analytics: The engineer needs to have fair knowledge in using data analytics and their applicability to visualize IoT data to obtain insights.
- Data management: Since the IoT engineer deals with large volumes of data, at times the data can remain unstable. This is why the candidate needs to have sound knowledge of data management.
- AI and machine learning: Having a solid grasp of AI and machine learning is mandatory for an IoT engineer. If you’re lagging behind with AI and machine learning skills, enrolling in an AI certification might probably be of great help. How can machine learning and AI help the IoT developer? Well, it helps the IoT engineer to analyze and predict patterns to develop smaller applications.
- Networking systems: If you’re aware, these devices utilize wireless networking systems therefore, having hands-on experience in designing and managing those networks is a must-have.
- Security standards: Owing to the connection of IoT devices with multiple networks, the security standards are different. IoT security is still considered a niche area therefore it is a desired skill among industries.
Having skills in IoT opens multiple job opportunities for aspirants. For instance, you can find careers in sectors such as consumer products, utilities, manufacturing, transportation, healthcare, and even agriculture. Although the job roles and functions may differ in each sector, they’re still capable of dealing with fundamental issues like data processing, security, networking, and business case validation.
Some of the job roles an aspiring IoT professional can opt for are:
- IoT Embedded Systems Designer
- IoT Developer
- IoT Security Engineer
- IoT Architect
- IoT Solutions Engineer
In a nutshell, an IoT professional is said to earn 75 percent more than an IT professional in the tech industry today.