Curated, hands-on educational content across data & AI.
- Data Science — ML pipelines, evaluation, NLP, LLMs (RAG, fine-tuning.
- Data Engineering — data warehousing, ELT/ETL, dbt/Dataform, Spark, orchestration, testing.
- Cloud Computing — GCP & AWS serverless vs containers, cost/perf.
- Operations Research — LP/ILP, queuing, simulation; decisions you can defend.
- Digital Signal Processing — realtime processing, FFT, audio feature extraction, MIR, feature engineering.
- Computer Music — generative audio, SuperCollider/OSC, AI-assisted workflows.
- Practitioners who prefer working examples over slides.
- Teams needing repeatable setups (envs, data tests, CI).
- Students who want production-minded foundations.