To become an AI programmer, candidates should focus on developing a strong foundation in several key areas: programming skills, mathematics and statistics, and data processing and handling.
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Focus on programming languages, such as Python.
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Get familiar with libraries, such as TensorFlow, Keras, or Pandas.
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Acquire a strong mathematical background, particularly in linear algebra, calculus, and probability theory, which are crucial for understanding the algorithms and models used in AI.
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Train in data handling with big data, for example, in CSV format. Data preprocessing is essential to train a good neural network. Data can be biased, totally wrong, or contain many duplicate values, etc.
