Independent visual AI curriculum

Understand AI.
Build the right mental model.

IntuitiveAI.dev is a free, independent learning platform for machine learning, LLMs, RAG, agents, and production AI. Each topic begins with a concise explanation, then offers a visual, practice, and optional depth.

Start with AI foundations Browse all topics

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Choose one starting point

You can change paths at any time. The content stays free.

New to AI

AI & ML foundations

Learn problem framing, data, training, evaluation, and responsible use from the beginning.

Start here

Software developer

LLM application engineering

Understand generation, tokens, context, retrieval, interfaces, and evaluation before shipping an app.

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Experienced builder

RAG, agents & systems

Design grounded retrieval, controlled agents, security boundaries, and reliable production behavior.

Start here

Learn by topic

Five focused routes cover the curriculum without making you scan every lesson.

See every lesson

Beginner learning hub

Machine Learning Foundations

Learn machine learning from problem framing and data preparation through baselines, evaluation, linear models, and responsible deployment decisions.

Start the route

Language model learning hub

Transformers and Large Language Models

Trace how text becomes tokens, contextual representations, next-token probabilities, decoded outputs, and evaluated language-model behavior.

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Grounded AI learning hub

RAG and Knowledge Systems

Learn embeddings, hybrid retrieval, RAG evaluation, ontologies, knowledge graphs, GraphRAG, and evidence-grounded agent architecture.

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Reliable agents learning hub

AI Agents, Reliability, and Safety

Build bounded AI agents with typed tools, explicit state, MCP interfaces, harnesses, evaluation, security boundaries, and recoverable execution.

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Systems learning hub

Production AI Systems

Learn the training, memory, inference, optimization, serving, and observability trade-offs behind production AI workloads.

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A focused learning loop

Use only the depth you need.

The explanation is the default. Visuals, practice, and deep dives are separate so a beginner is not forced through advanced material.

  • Start with a direct explanation, not a wall of definitions.
  • Use an interactive visual only when it makes the mechanism clearer.
  • Check understanding with a focused task and topic-specific questions.