Guided path
A curated beginner-to-production path. Explore the full 00–50 library when you need depth.
Build a strong programming foundation.
Work with data before models. These 5 Python modules take you from arrays to scikit-learn pipelines.
Python Modules
Linear algebra, calculus, probability, and statistics.
Supervised, unsupervised, and evaluation fundamentals.
Neural networks, CNNs, RNNs, and foundations of modern AI.
Specialize in language or vision systems.
Foundations of generative models.
Architecture, tokenization, embeddings, and large language models.
Ground models in your data with retrieval pipelines.
Tool calling, planning, and agentic workflows.
LLMOps, evaluation, security, and deployment.
System design, optimization, and leadership-level topics.
