Data, Analytics & Artificial Intelligence
From pipeline design to data governance, from machine learning to generative AI: 72 decks across 6 domains to build a solid command of the modern data ecosystem.
72 decks · 36 topics · 6 domains · spaced repetition
The 6 domains in this cluster
From data engineering to generative AI
Each domain covers a coherent skill area with its own decks, key topics, and recommended learning paths.
Free entry deck
Artificial Intelligence Fundamentals — free
Frequently asked questions
FAQ — Data, Analytics & AI Cluster
Who are these decks for?
Data professionals (data engineers, analysts, data scientists, MLOps), managers running data teams, digital transformation consultants, and anyone looking to build expertise in the data and AI ecosystem.
What is the difference between the 6 domains?
The 6 domains cover complementary areas: Data Engineering builds and operates pipelines; Data Management structures and valorizes data; Data Governance frames it; Analytics & BI analyzes it; AI & ML makes machines learn; Generative AI & MLOps deploys generative models to production.
Do I need a high technical level to use these decks?
Fundamentals decks (e.g. Data Architecture, AI Fundamentals) require no technical prerequisites. Core Concepts and Architecture decks assume professional data experience. Best Practices and Use Cases decks are designed for experienced practitioners.
How long does it take to complete a deck?
The first discovery session takes 20 to 40 minutes depending on the deck (35 to 50 cards). Spaced repetition review sessions then last 5 to 15 minutes per day, with intervals lengthening as cards are mastered.
Are the decks available in French?
Yes. Each deck exists in both a French and English version, with the same content adapted to the language. Both versions are available in the library catalog.
Access all Data & AI decks
72 decks, 2,940 cards, 6 domains. Retain data and AI fundamentals with spaced repetition.