Basic skills needed for ai engineer

1. Programming Skills (Essential)
Learn Python (most widely used in AI).
Basics of libraries like NumPy, Pandas (for data handling).
Understanding of loops, functions, OOPs concepts.

2. Mathematics & Statistics (Basic Level)
Linear Algebra (Vectors, Matrices, Dot Product).
Probability & Statistics (Mean, Variance, Standard Deviation).
Basic Calculus (Derivatives, Integrals – useful for ML models)

3. Machine Learning Fundamentals
Understand what Supervised & Unsupervised Learning are.
Learn about Regression, Classification, and Clustering.
Introduction to Neural Networks and Deep Learning.

4. Data Handling & Processing
How to collect, clean, and process data for AI models.
Using Pandas & NumPy to manipulate datasets.

5. AI Libraries & Frameworks
Learn Scikit-learn for ML models.
Introduction to TensorFlow or PyTorch for Deep Learning.