Which IT skills should students learn for AI?
I am writing an assignment about AI careers, and I am not sure which IT skills are most useful. While searching for ideas, I found IT assignment expert UK, but I would like to hear from students too. Should I learn coding, data, cloud systems, or AI tools first? Which skill has helped you understand AI topics more easily? I would really appreciate suggestions from students who are learning IT and AI. What skill would you recommend learning before starting more advanced AI topics?
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Figuring out which IT skills actually matter for AI can be overwhelming. As a PhD student and part-timer at Last-Minute Assignments, I remember my college days I wasted time learning random tools instead of fundamentals. That struggle inspired me to help others now. My honest take: master Python first, then linear algebra and stats. Learn Git early it's non-negotiable. Understand data wrangling and SQL. Practice explaining your code clearly that sets you apart. Build small projects consistently. If you're tempted to "Pay someone to Do My Assignment," don't build these skills yourself. They'll pay off forever. You've got this. Nice Post