AI Power Progressia

Capability network for learning, building, publishing and contributing.

One product graph for courses, projects, cited search, media, community, open data, creator tools and local-first AI operations.

Zero to contributor

Progress is evidence, not page views.

The platform is organized around what a learner can understand, build, explain, reproduce and contribute.

  1. Start with a diagnostic and a small course path.
  2. Build one reproducible artifact with citations.
  3. Export progress and evidence before sharing.
  4. Move from practice to reviewed contribution.

Working foundations

Start with verified learner paths.

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beginner

Computer and Linux Foundations

Learn how files, terminals, commands, permissions, and careful local changes fit together.

Open pathway

beginner

Python Fundamentals for Useful Small Tools

Use Python to read local text, transform it, and print useful results.

Open pathway

beginner

Local AI, Evidence Search, and Introductory RAG

Learn how grounded answers differ from unsupported model guesses.

Open pathway

beginner

Mathematics and Data Foundations

Build the math habits needed for statistics, open data, engineering and AI work.

Open pathway

beginner

Web App Builder Foundations

Learn the minimum HTML, React, API and testing concepts needed to build useful web tools.

Open pathway

beginner

Open Data Civic Lab

Learn how to identify, admit and explain public datasets without confusing access with reuse rights.

Open pathway

beginner

Electronics and Robotics Foundations

Move from circuits and microcontrollers toward simulation-first robotics.

Open pathway

beginner

AI and Local Model Systems

Understand local inference, embeddings, retrieval and evaluation before trusting model output.

Open pathway

beginner

Health and Nutrition Literacy

Learn how to read health and nutrition sources without turning education into diagnosis.

Open pathway