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Before diving into specific technical skills, it’s essential to cultivate a mindset similar to that of an engineer. The ability to think critically and solve abstract problems is crucial. Good engineers excel at breaking down complex issues, and these skills will underpin your journey into AI and ML. Remember, it’s not just about memorizing concepts but achieving a deep understanding that allows you to tackle challenges effectively.
Step One: Master Python
Once you've aligned your mindset, the first technical step is to get comfortable with Python. Despite the growth of no-code tools, proficiency in coding remains critical for effective AI and ML engineering. Python is often the language of choice due to its simplicity and versatility, especially in the domains of AI and ML.