Updated July 2026
Career Roadmaps
Structured, step-by-step learning paths. Every stage links to a free SuperML course or tutorial.
AI Engineer
From Python and ML fundamentals to LLMs, RAG, agentic AI, and MLOps in production.
8 stages · ~1 year full-time pace
View roadmap →Machine Learning Engineer
Python and math foundations through classical ML, deep learning, and production MLOps systems.
6 stages · 9–12 months part-time pace
View roadmap →Forward Deploy Engineer
Separate paths for Software Engineers and Architects moving into customer-embedded delivery roles.
7 stages · 4–6 months part-time pace · 2 starting-role paths
View roadmap →