Paths · 6 tracks

One road, end to end.

A path sequences real courses into a single route — no guessing what comes next. Follow the one your intake chose, or switch tracks whenever your goal changes.

Choose a track

ML Engineer

Master the full machine learning stack from Python fundamentals through production deployment and system design.

8 courses · ~235 h

LLM Developer

Become proficient in large language models: prompting, RAG, fine-tuning, agents, and production LLM systems.

5 courses · ~112 h

AI Researcher

Build deep theoretical foundations for original AI research: math, RL, transformers, and cutting-edge topics.

6 courses · ~185 h

MLOps Engineer

Deploy, monitor, and scale ML systems in production with Docker, Kubernetes, CI/CD, and experiment tracking.

4 courses · ~120 h

AI Safety Specialist

Focus on responsible AI: bias detection, fairness, alignment, interpretability, and adversarial robustness.

5 courses · ~122 h

AI Product Manager

AI literacy for product leaders: understanding capabilities, building AI products, metrics, and team collaboration.

3 courses · ~47 h