AI & Machine Learning Roadmap for Beginners in 2026

AI is the future of tech. Discover the step-by-step math, python, and model building syllabus required to become an AI or Machine Learning engineer.

The AI Syllabus

1. **Mathematics Base**: Linear Algebra (vectors, matrices) and Probability (Bayes theorem, normal distributions).

2. **Python Libraries**: Pandas for data loading, Numpy for array math, and Scikit-Learn for standard regressions.

3. **Deep Learning**: Building neural networks using PyTorch or TensorFlow, leading to modern Transformer architectures.