Study Plans

NumPyPyTorch

Build AlphaGo from Scratch

Policy networks, MCTS, and self-play

18 problems

NumPyPyTorchMCTS

Foundations

Essential tools for data science and ML

Pandas Sheet

Data Manipulation Essentials

NumPy Sheet

Array Computing from Scratch

PyTorch Sheet

Tensors, Autograd, and Models

SQL Sheet

Query Data Like a Pro

Systems and GPU Programming

Build inference systems and optimize GPU kernels from first principles

CUDA Kernels

Program GPUs from first principles

Triton Kernels

Write block-level GPU kernels in Python

Inference Engineering

30 PyTorch problems for LLM inference

ML Math

Mathematical foundations for machine learning

Explore concepts in depth on ML Math

Linear Algebra

The Language of ML

Probability & Statistics

Reasoning Under Uncertainty

Calculus for ML

Derivatives, Gradients, Optimization

Optimization

Finding Optimal Solutions

Specializations

Topic-focused study plans across ML, DL, NLP, and RL

Cracking ML

35 Machine Learning Problems

Cracking Deep Learning

35 Deep Learning Problems

Cracking NLP

35 NLP and Language Model Problems

Cracking RL

30 Reinforcement Learning problems

Cracking CV

Computer Vision Problems