- Learn Python Programming Get familiar with Python — it's the most popular language in AI. You can simply Google "How to learn Python" and you’ll find plenty of resources.
- Understand the Basics of AI and it's workflows in real world implementations. You don't need to go deep right away. Start with these beginner friendly sources: (Follow AndrewNg, he's a great AI researcher and has content on Machine Learning)
- https://www.coursera.org/learn/ai-for-everyone
- https://www.coursera.org/learn/generative-ai-for-everyone
- https://course.elementsofai.com/
- The Math behind it all. Since you've finished high school, assuming you're comfortable in algebra and trigonometry. In college, you’ll learn calculus, probability, linear algebra, and differential equations — all of which are essential in AI for understanding how models process, understand , represent and learn from data (like neural networks). If you have time, you can start now with Khan Academy's and Prof Leonard on YouTube for your math.
- Lastely, create a github account, and showcase your projects (let it be a simple program to a complex ML project)
You can find detailed roadmaps for AI here -- roadmap.sh and https://i.am.ai/roadmap/
So don't be daunted with the information availale online (Information overload). Pick a trusted resource and follow it.
Good luck !!