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Understand AI basics, its history, and key concepts to build a strong foundation.
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Master computer science basics, Python programming, and essential statistics for AI.
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Learn data preprocessing, build neural networks, and work with frameworks like TensorFlow.
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Create real-world AI projects using tools like OpenCV, NLTK, and SpaCy.
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Explore reinforcement learning, join Kaggle competitions, and contribute to open-source AI projects.
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Build a robust AI portfolio, explore research on arXiv, and connect with AI communities.
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Stay ahead with AI advancements, earn certifications, and specialize in fields like robotics.