⚙️ Course 01
★ Flagship
Data Engineering Fundamentals
Build production-grade data pipelines from the ground up — ETL patterns, batch & streaming, partitioning, orchestration, and data quality.
📊 Course 02
Intermediate
Data Science Fundamentals
From exploratory analysis to model deployment — statistical thinking, CLT, SHAP, A/B-test power, causal DAGs, drift, and a full capstone.
🏗️ Course 03
Advanced
Data Infrastructure
The data stack at staff-engineer system-design depth — storage internals, CAP/PACELC, lakehouse, streaming & watermarks, CDC, idempotency, SLAs.
🤖 Course 04
All levels
Codex Course
A terminal-first playbook for the OpenAI coding agent — mental model, sandboxing, AGENTS.md, task specs, and review loops to ship real engineering work.
✨ Course 05
All levels
Claude Course
Prompt like you mean it — prompt anatomy, context engineering, CLAUDE.md, agents & tool use, grounding, evals, and safety, in twelve hands-on lessons.
🧭 Course 06
All levels
The AI-Native Operator
An operating model for working AI-native — the mindset, engineering practice, and org design for shipping with AI agents, across nine modules of exercises and quizzes.