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Finding the right AI specialization?

What helped you choose your specialization within AI (like NLP, computer vision, or robotics), and how did you know it was the right fit? What advice would you give to someone still exploring which direction to go in AI?

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Sneha’s Answer

Hi Niloofar! Choosing the right AI specialization often comes from trying different areas and noticing what excites you most, whether it's understanding language (NLP), working with images (Computer Vision), or building real-world systems (Robotics). For many, it clicks when a project or class just feels fun instead of work. If you're still exploring, take free courses, join AI-related clubs or competitions, and experiment with mini-projects in each area to see what fits. Don’t rush the decision since AI is broad, and your path will become clearer as you gain more hands-on experience. Good luck!
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Nulee’s Answer

Hi Niloofar,

Have you had a chance to explore introductory courses or online resources in those AI fields? This can be a great starting point to quickly assess whether they might be the right fit for you. You may find that a particular area isn't what you expected, or you might immediately feel that it aligns perfectly with your interests.

Additionally, I recommend reading a few recent research articles to gain insight into the current focus and advancements in the field. This can help you stay informed about trending topics and emerging opportunities.

It might also be helpful to have a coffee chat with someone working in these areas. This can provide you with indirect experience and a transparent view of any challenges they face and driving point that may not appear in the article or courses.
I hope you find this advice helpful and wish you success in discovering the AI specialization that suits you best!
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