Top 5 AI Skills Freshers Should Learn in 2022

Knowing which AI skills are the most in demand can help freshers work out what they need to develop

Artificial intelligence (AI) is transforming societies and economies. It enhances the speed, efficiency and precision of human efforts and is being adopted across most industries. Read on to find out more about the key AI skills in demand.

• Cloud Computing:  The main reason cloud computing expertise is so essential is that it intersects with all the crucial tech skills and is currently transforming the landscape of data storage and security in businesses. It is one of the most trending technologies, which makes it crucial for freshers to learn it.

• Data Science and Analytics: Experts predict that the use of data will continue to rise, with or without the intervention of any new technology. Organizations and governments are making the most use of data to make decisions based on facts and trends. Learning how to analyse data is of utmost importance as it is useful for various IT tasks. 

• Programming: Software development jobs in the AI sector is on the rise. Increasing demands for various computing software and mobile phone apps is driving this growth. Additionally, coding is also an important skill that AI freshers should hone since there is an increasing demand for automation configuration and operational tasks. 

• Internet of Things (IoT): In simple words, the term IoT encompasses everything connected to the internet. Freshers should learn this skill since the industry is working relentlessly on making IoT devices safer and more efficient. Businesses that have already adopted IoT are already increasing their pace for IoT development, and more businesses will adopt in the future. 

• Linear algebra and statistics: Linear algebra and statistics is the building block for machine learning and deep learning. Understanding these concepts at the vector and matrix level will help professionals to deepen their understanding and widen their perspective of any ML problem. 

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