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Start with the basics: learn Python, math for AI (statistics, probability, linear algebra), and data handling. Then study core machine learning concepts like supervised and unsupervised learning. Practice with tools such as Pandas, NumPy, Scikit-learn, and later move into deep learning with TensorFlow or PyTorch. Build small real-world projects to strengthen your skills. After that, explore AI specializations like NLP, computer vision, or generative AI. A structured Artificial intelligence course for beginners from H2K Infosys can also help beginners with guided learning, projects, and career support.
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Posted : 27/03/2026 6:22 am