amai-gmbh/ai-expert-roadmap

The AI Expert Roadmap is a visual curriculum guide, not a piece of software, that shows the skills and technologies a person needs to learn in order to work professionally in artificial intelligence, machine learning, or data engineering. The problem it solves is orientation: the AI field is vast and fast-moving, with dozens of tools, libraries, mathematics prerequisites, and sub-disciplines. A beginner or career-switcher trying to enter the field faces a confusing landscape and often doesn't know which things to learn in what order. This roadmap gives a structured, opinionated answer. The project presents a set of flowchart-style diagrams (stored as SVG image files in the repository) covering several distinct tracks: a Fundamentals track covering the mathematical and programming basics needed across all AI work, a Data Science roadmap, a Machine Learning roadmap, a Deep Learning roadmap, a Data Engineer roadmap, and a Big Data Engineer roadmap. Each chart shows topics arranged in a recommended learning sequence with dependencies between them. An interactive version hosted on a companion website links each item in the charts to learning resources. You would use this repository if you are new to AI and want a clear picture of what skills lead where, or if you are partway through learning and want to identify gaps. It was originally created by AMAI GmbH in Germany as an onboarding guide for new employees but was released publicly to benefit the wider developer community. There is no code to run. The repository contains SVG diagram files, a README linking to them, and supporting metadata. The JavaScript language tag reflects the interactive website tooling rather than any runnable content in the repository itself.