Common Mistakes in Starting an AI Career (And How to Avoid Them)
Common Mistakes in Starting an AI Career (And How to Avoid Them) Artificial Intelligence is one of the fastest-growing career fields in the world. With companies like Google, Microsoft, Amazon, Infosys, and TCS investing heavily in AI, students and professionals are rushing to enter the field. However, many beginners make critical mistakes that slow down their growth or completely derail their AI journey. If you are planning to build a career in AI, this article will help you avoid the most common pitfalls and move forward strategically. Mistake 1: Learning Tools Without Understanding Fundamentals Many beginners jump directly into tools like TensorFlow or ChatGPT without understanding: Mathematics (basic statistics, probability) Linear algebra Python fundamentals Logic building Why This Is a Problem Without foundations, you can build models but cannot debug, optimize, or innovate. How to Avoid It Learn Python first. Understand statistics and basic algebra. Study core ML con...
