Here's how I'm learning AI development

After watching a tutorial online, the steps iv been following the learn AI is below ( https://www.youtube.com/watch?v=wtolixa9XTg)

Step 1: Learning Math Fundamentals. Some of the equations you will see when reading through academic papers are mind boggling, well that's what I thought. Therefore, you can gain a better understanding of what the formula is trying to solve by studying linear algebra, linear algebra, statistics, probability, differential equations, and multivariable calculus.

Step 2: Learning Python. There are other languages with which you can build AI models, but Python is mainly used in Data Science and Machine Learning, so it is best to learn Python fundamentals first before you start building your models. The FreeCodeCamp Python in 4 Hours Full Course is one of many excellent tutorials that you can take.

Step 3: Learn a machine learning stack. For now, I'm trying to gain a basic understanding of machine learning before I specialize in artificial intelligence. Using NumPy and Pandas and MatPlotLib for visualization, this step will provide an introduction to data processing and analytics.

Step 4: Take a course in Machine Learning, which gives you an overview of the different types of learning (supervised, unsupervised), and reinforced learning. The course I am taking is Andrew Ng's Specialization.

Step 5: My next step is to learn how to prepare data using Kaggle. The course that has been recommended for me is Intro into Machine Learning.

Step 6: Practice and build Kaggle portfolio.

Step 7: Select a field of specialization, such as Computer Vision or Natural Language Processing.