A German AI firm's internal training maps, open-sourced

What it does

Hosts a collection of SVG flowcharts that chart possible paths to becoming a data scientist, machine-learning engineer, deep-learning specialist, data engineer, or big-data engineer. The repository is essentially a static gallery of career diagrams, backed by an interactive companion site at i.am.ai/roadmap that adds clickable links to each bullet. It was originally built by AMAI GmbH as internal onboarding material for new employees.

The interesting bit

The maintainers explicitly disclaim that the goal is not to encourage chasing “hip and trendy” tools, but to give confused learners a sense of the landscape. That kind of anti-hype honesty is unusual for a roadmap repository.

Key highlights

• Seven distinct tracks: Introduction, Fundamentals, Data Science, Machine Learning, Deep Learning, Data Engineer, and Big Data Engineer
• Interactive version with per-bullet resources hosted at i.am.ai/roadmap
• Originated as internal training docs before being open-sourced under MIT license
• Community updates accepted via PRs against contributing.md

Caveats

• Explicitly labeled as a 2022 roadmap, so some technology recommendations may feel dated
• No executable code or hands-on exercises; the repo is strictly reference diagrams and referral links

Verdict

Useful if you are early in your AI career and need a high-level map of the tooling terrain. Look elsewhere if you want current 2024 guidance or practical coding walkthroughs.