Roadmaps
AI Career Roadmaps
The skills to learn, in order, to get into and grow in an AI career - grounded in authoritative curricula and tagged with what live AI listings actually ask for.
AI / Machine Learning Engineer
The path to building and shipping machine-learning systems.
View roadmapData Scientist
The path to extracting insight and building models from data.
View roadmapData Engineer
The path to building the pipelines and platforms that data teams run on.
View roadmapData Analyst
The most common entry point into data work.
View roadmapAI Researcher
The path toward research scientist and research engineer roles at AI labs.
View roadmapAbout these roadmaps
- Where do these roadmaps come from?
- Each roadmap is hand-authored and grounded in authoritative sources - the O*NET occupation profiles, and public curricula and certification blueprints from DeepLearning.AI, fast.ai, Google, and AWS/GCP. Every roadmap lists its sources.
- What makes this different from other roadmaps?
- We tag which skills on each roadmap are actually in demand right now, measured from live AI job listings, and show the role's current median pay. So you can see not just what to learn, but what employers are hiring for today.
- Are the roadmaps a strict order?
- No. They're a sensible default path, not a rulebook. Skills marked Core are the foundation; Recommended and Optional steps depend on the direction you want to take.