AI is expected to dominate the market by 2030, and learning it does not require a degree—just a structured roadmap and dedication. Key subjects to focus on include linear algebra, calculus, and probability. Python is the primary language used. Essential Python modules for data handling include Pandas, NumPy, and Matplotlib. Recommended frameworks for beginners are PyTorch and Scikit-Learn. Notable resources for learning include Three Blue One Brown, Khan Academy, Brilliant.org, and Andrew Ng's courses on Coursera. Practical experience can be gained via Kaggle competitions.
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