What to Study in 2025 to Survive the AI Wave | Future Skills & Career Guide
Are you ready for the AI revolution? In this powerful podcast, we break down exactly what you need to study in 2025 to stay ahead of the curve, survive the automation wave, and thrive in the era of Artificial Intelligence.
🎧 Whether you're a student, working professional, or entrepreneur, this episode uncovers: Top in-demand AI-related skills Best courses & fields to explore (AI, ML, Data Science, Cybersecurity, Prompt Engineering, etc.) Career paths that are future-proof Real advice from industry trends & expert insights How to stay relevant in an AI-dominated future
This is your 2025 survival guide to education and career success in the age of AI. Don't miss it!
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00:00Hello, look at the noise of AI, it is everywhere, jobs are changing, absolutely, new roles are coming up, yes, so the question arises that brother, in 2025, and even after that, what should we learn to remain relevant, how to stay ahead in this wave of AI?
00:30Meaning it has penetrated everywhere, everywhere. Yes, there is a report which says that by 2030, about 40% of our skills will probably become obsolete and will not be useful. 40%
00:39It is a lot, yes, but this does not mean that we should panic, not at all, rather new opportunities are opening up, like? Like there are prompt engineers, who know how to get the right work done from AI, or there are AI governance experts, who keep an eye on its correct use, so AI basically
01:09Well, it is absolutely basic, you can understand it at level 1, ok level 1, yes, basic understanding of Python is necessary for coding logic, I have heard a lot about Python, yes, it is necessary, then comes understanding the data, you can start with Excel or Google Sheets, well, you should have some idea of maths and statistics, meaning averages, probability, such things.
01:39Well what to do in 12 months, yes, so this is level 2, builder phase, builder phase, okay, here you develop actual skills, and there are many paths here, one is machine learning, in which you learn to train models, extract patterns from data, all this, the other path is data engineering, in this you learn to manage data, store it, create pipelines
02:09And the third one, which is very much in discussion these days, is prompt engineering, yes, this is a big buzz, I am aware of it, yes, the art of getting the best results from large language models, like chat, GPT etc., needs to be learned in this, and at this stage the most important thing is to make projects, well, practical work, yes, more practical work than theory,
02:39Coming to level 3, specialist phase, people usually target this after one to two years of experience. Here you can become an expert in a niche area, such as AI governance and ethics. Ensuring that AI is fair, not biased, respects people's privacy is very important, very important, because a wrong AI system can cause a lot of harm.
03:09Well, about operations, exactly, and security is also a big concern in AI, protecting systems from attack, these are advanced skills and the demand for them is increasing rapidly, all these technical things are fine, but will it be enough to just learn coding or tools in the age of AI, absolutely not, technical skills have their place, but power skills are equally critical,
03:39So that your analysis has an impact and people can understand it, absolutely, and resilience and adaptability, because the AI field is changing very fast, so there should be the capacity to quickly learn and adopt new tools, new techniques, adaptability yes, and see, the real magic happens when you combine AI with your current field,
04:09Meaning your expertise plus AI, exactly, so what can be the most effective way to learn all this, any strategy, a simple mantra, learn, build, share, learn, build, share, okay, whatever new concept you learn, make a small project on it, then share it on a place like LinkedIn or GitHub, this ensures your learning as well, and also gives information to the world.
04:39Yes, joining online communities like discord groups, Kaggle is very beneficial, you get support from there, get new ideas, networking also happens, of course, and remember, just watching video tutorials will not work, you will have to do hands-on practice, practice makes perfect thing, yes, recruiters nowadays are more interested in the results you have made than the certificates.
05:09Do it, specialize, and develop power skills, of course, and you have to start today itself, you can't postpone it till tomorrow, that's right, and I leave one last question for everyone to think about, tell me, whatever field you are in, what unique solution or product have you created by incorporating AI in it
05:39It is not known, tell me, but take one from today, in that start my last question, and all go in the second question, start from Jakhari, start from Radhri,
