// not learning. just shipping.

Master Data & AI Engineering

A prerequisite-gated skill tree for data and AI careers — built to prove you can ship, not that you watched.

38 modules 5 career paths Free resources

Tools you will use: Python, SQL, Git & GitHub, dbt, PyTorch, Airflow, Kafka, FastAPI, Power BI.

Momentum, Not Video Hours

No 50-hour video loops or fake badges — structured prerequisites and real deliverables instead.

Structured Skill Tree DAG

Prerequisites unlock step-by-step as you complete modules, giving you a clear, unambiguous learning sequence.

Proof-Driven Portfolio

Tasks require submitting real GitHub repositories, deployed web apps, and system writeups to verify your skills.

Zero-Fluff Curriculum

One canonical visual map connecting official documentation, battle-tested tutorials, and core architectural concepts.

Career Track Showcase

Choose your target role. Every track includes curated curriculum, practical tasks, and a capstone portfolio project.