AI Engineer Roadmap

A comprehensive 6-stage roadmap to become a job-ready AI Engineer, covering mathematics, programming, machine learning, deep learning, MLOps, and system design.

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AI Engineer Roadmap

From fundamentals to production AI systems

Foundations0/3
Checkpoint — Mathematical & Programming Foundations
Core Machine Learning0/3
Checkpoint — Machine Learning Fundamentals
Deep Learning0/3
Checkpoint — Deep Learning Mastery
MLOps & Production0/4
Checkpoint — MLOps & Deployment
Specialized AI Domains0/3
Checkpoint — Domain Specialization
System Design & Best Practices0/4
Checkpoint — AI System Design & Ethics

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Frequently Asked Questions

Yes, this roadmap is free to browse. Individual linked courses may be free or paid.

Each phase builds on the one before it, so following the order is recommended — but you can jump to any topic you want.

This roadmap has 20 topics across 6 phases. Completion time depends on your pace, since every linked course is self-paced.

Each linked course issues its own verified certificate on completion. There is no separate roadmap-level certificate.