Choose a role, then build the skills in the right order.
Compare structured learning paths for the AI and machine learning roles people are building toward today. Each roadmap covers prerequisites, practical phases, projects, and learning resources.
Find your path
Explore roadmaps by role
Start with the role closest to your interests, then use the related roadmaps on each page to compare adjacent paths.
Machine Learning Engineer
Build and deploy ML models at scale.
View roadmapData Scientist
Extract insights and build predictive models.
View roadmapAI Engineer
Develop AI-powered applications and systems.
View roadmapNLP Engineer
Build language understanding systems.
View roadmapComputer Vision Engineer
Create visual recognition systems.
View roadmapDeep Learning Engineer
Design neural network architectures.
View roadmapData Engineer
Build data pipelines and infrastructure.
View roadmapML Research Scientist
Advance ML through research.
View roadmapAI Product Manager
Lead AI product strategy.
View roadmapMLOps Engineer
Operationalize ML systems.
View roadmapPrompt Engineer
Optimize LLM interactions.
View roadmapAI Consultant
Advise on AI strategy.
View roadmapRobotics AI Engineer
Build intelligent robotic systems.
View roadmapAI Ethics Researcher
Ensure responsible AI development.
View roadmapGenerative AI Engineer
Build generative models and applications.
View roadmapNot sure which role fits?
Begin with the complete AI and machine learning roadmap to see how foundations, specialisations, and production skills connect.
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