What Should I Learn for a Career in Artificial Intelligence?

Check out some roadmaps for AI careers, like AI Engineer or AI and Data Scientist paths. They cover working with large language models and machine learning techniques. Keep in mind, the journey could take years, so gaining a Bachelor's and possibly a Master's in fields like Computer Science, Data Science, or Statistics is often necessary.

Did you try asking an AI for this info? It might give you some quick insights. Also, you could learn some fundamental tools with a recommended skills list you can find online.

Breaking into tech, especially AI, can be tough right now. The usual path is either getting into a prestigious school for computer science or aiming for a PhD if you want to be deeply involved in research.

You don’t need a specialized language to start building AI applications. If you have an idea for an app, just pick a programming language that suits the platform—for instance, Kotlin for Android apps. However, if you're serious about a career, consider getting a 4-year degree in computer science, as it’s challenging to land a job in AI without one. For more advanced roles, like training models, you’ll need a solid grasp of linear algebra and statistics, plus more college courses. Higher-level research roles often require a PhD, and you might use languages like Python, C++, or R, but keep in mind that the languages are only a small part of what you'll need to learn.

Remember, a lot of AI work involves understanding business problems and finding solutions. Many AI projects fail simply because companies don’t fully grasp what they need to solve. It’s not just about coding; you’ll need to think critically about the applications of AI.