You can first start by fulfilling your prerequisites:
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Learn to Program in a Programming Language (R or Python).
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Learn about applied mathematics (LA, Stats, Prob).
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Begin by reading ML/AI blogs and listening to podcasts.
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To lay the groundwork, read some wonderful books.
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Machine Learning and Deep Learning.
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Experiment with the skills and get some hands-on experience.
Then you should start mastering the topics of:
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Learning programming languages like Python and R, getting comfortable in coding at least one of them
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Get familiar with applied maths, Build machine learning algorithms and understand how to apply the concepts.
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Keep yourself updated by investing your time in Data Science related topics by reading books, Podcasts, expert interviews, blogs, etc.
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Learn Machine learning and deep earning
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Take on roles in companies and build end-to-end projects.
Once you complete this, you will be considered a master in data science.
You can try this learning path on data science to learn more and become an expert