Synaplume

Your journey to AI fluency

Four stages, each built on the one before. This is the whole map — no shortcuts needed, none taken.

  1. Stage 1

    Mathematics for AI

    Build the mathematical foundation every AI practitioner needs — algebra, linear algebra, calculus, probability and optimization — explained from absolute zero.

    12 lessons~24 h

  2. Stage 2

    Machine Learning

    Learn how machines learn from data: core algorithms, honest evaluation, and the practical workflow used in industry — no prior experience required.

    13 lessons~30 h

  3. Stage 3

    Deep Learning

    Neural networks from a single neuron to transformers: how modern AI systems see, read and generate — built up step by step.

    9 lessons~32 h

  4. Stage 4

    Artificial Intelligence

    The big picture: from search and reasoning to LLM agents, ethics and where the field is heading — the path that ties everything together.

    10 lessons~26 h

Complete all four stages and you'll read AI papers, follow research news and build models with genuine understanding.