AI professionals can take up these new year's resolutions to upskill their talents and knowledge

The year 2021 began with massive dependencies on artificial intelligence and other advanced technologies as the pandemic disrupted the existing working conditions and forced employees to start working from home. This boosted the growth of several technologies like AI, data science, and machine learning, to name a few. The year brought with it new programming languages and technologies that boosted the operational capacity of all global businesses. As we step into 2022, AI professionals should upskill their knowledge on existing technologies and brace themselves for the emerging industry and market demands. In this article, we have enlisted 5 new year's resolutions that AI professionals can take up in 2022 to prepare for future business demands.

• Learn the most in-demand programming languages: Programming languages are used in every sector of the tech business. As enterprises are growing more digitally advanced with software and web development, programming languages have become an integral part of industrial processes. By the end of 2022, AI professionals must know open-source and in-demand programming languages to boost their skills.
• Learn how to code: Coding and programming are the most crucial capabilities that an employer looks for while recruiting tech professionals in the company. So, it is one of the most important skills that AI professionals must acquire in 2022 to excel in their respective careers.
• Attend bootcamps to upskill your knowledge: Attending online bootcamps is one of the most efficient ways to upskill technical skills. Bootcamps can help enhance the existing technical skills and gain a new perspective on an individual's professional domain.
• Enroll in online certifications to add to your resumes: AI professionals can enroll in new online courses to always be ahead in the competition and impress employers. Online courses can entail innovations in artificial intelligence or any other technology, and also added training in other aspects of AI, which might be crucial in 2022.
• Practice advanced cybersecurity measures: As we are growing more dependent on technologies, our personal information is becoming more vulnerable to cyberattacks and scammers. AI professionals should promise themselves to learn about advanced cybersecurity measures to protect personal and professional information from being stolen in the future.