AI & Machine Learning Mastery Path¶

Mastery Path

BOOTCAMP

VINOD BHANUJA

A structured, module-wise AI & Machine Learning training program that takes you from your first pip install scikit-learn to production-grade, master-level machine learning — with runnable Python code in every module and a hands-on project at the end of each level. The track is a broad, general-purpose foundation: NumPy and pandas, classical ML with scikit-learn, and neural-network fundamentals with PyTorch.

How the program is organized¶

Level	Focus	Modules
Level 1 · Entry	NumPy/pandas, scikit-learn, model evaluation, first PyTorch network	9 topics + 1 project
Level 2 · Intermediate	Gradient boosting, time series, NLP basics, CNNs, interpretability	9 topics + 1 project
Level 3 · Advanced	Transformers, MLOps, experiment tracking, distributed training	9 topics + 1 project
Level 4 · Master	Production ML systems, serving at scale, monitoring & drift	9 topics + 1 capstone

How to use this site¶

Work through each level in order — later modules assume earlier ones.
Every topic page has runnable code snippets — all you need is pip install numpy pandas scikit-learn matplotlib torch. Examples use small built-in or synthetic datasets, so there is nothing to download.
Each level ends with a project that combines everything learned in that level.
Use the search bar (top of the page) to jump straight to a topic.

Start here → Level 1 · Entry