Zero → Max AI

Curriculum Map

12-Episode Crash Course

Progress runs left to right: complete each episode to unlock the next and track your momentum.

EP01

AI vs ML vs Deep Learning vs GenAI vs LLMs

unlocked

EP02

Workflow: data → X/y → model → training/inference

unlocked

EP03

Learning types + task types

unlocked

EP04

Generalization: overfit, underfit, leakage

unlocked

EP05

Metrics: confusion matrix, precision/recall/F1, MAE/RMSE

unlocked

EP06

Classic ML tour: linear, trees, forests, boosting

unlocked

EP07

Vectors, embeddings, cosine similarity

unlocked

EP08

Deep learning in one lesson

unlocked

EP09

LLM mechanics: tokens, context, sampling

unlocked

EP10

Reliability: hallucinations, grounding, RAG

unlocked

EP11

Prompting mastery and structured outputs

unlocked

EP12

Pro usage: tools, agents, safety, cost

unlocked