This future-ready skill is similar to DevOps, but is specifically for AI-related projects, combining big data and machine learning to automate the path from development to production.ĪI could even help solve the semiconductor chip shortage, with Google claiming that it’s using AI to design chips faster than humans. Not only that, but according to a 2020 UiPath survey, 70% of C-level executives want even non-technical employees to have some automation and AI skills.Īnother emerging AI skill to consider learning in 2022? AIOps (short for artificial intelligence for IT operations). Now that AI has become more mainstream (and businesses are implementing AI to keep up with demand during COVID-19 and the post-pandemic world), companies will be looking for people with specific areas of expertise in AI in 2022, such as natural language processing (NLP), automated speech recognition (ASR) and automation. There is crossover with machine learning here (which you’ll learn about next!), but the key difference is that AI is a broader concept pertaining to machines designed to act intelligently like humans, whereas machine learning relies on devices making sense of a specific set of data. Top skills to know within artificial intelligence include C++, Amazon Web Services (AWS) and Python.
Because of its increasingly widespread adoption, AI specialists earned LinkedIn’s #1 emerging jobs spot in 2020 and is #15 on their 2021 list of “jobs on the rise.” Hiring growth for AI practitioners grew 32% between 20. Please note that pricing listed below may change in the future! Top Tech Skill #1: Artificial IntelligenceĪI is rapidly changing the landscape of work, making it an exciting time for programmers looking for something new.
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