AIDQCourse

AI-ready data quality

Lessons8modules
Total86mfull study
Quick7mtrailer
Projects8docker labs

Career & income delta

Career moves
  • Title yourself credibly as 'AI data engineer' / 'AI data platform engineer' — the 2026 hiring channel for senior IC roles at $180–340K base.
  • Lead the data-readiness workstream on your AI platform team — the biggest unowned mandate in most series-B/C orgs.
  • Pick up contracting work at $180–350/hr fixing the 60% of AI projects Gartner says will be abandoned for non-AI-ready data.
  • Own the 'why is this AI feature failing' line item — the answer is almost always upstream of the model.
  • Become the EU AI Act point person for your org — a rare, durable specialty going into Aug 2026 enforcement.
Income impact
  • $25–60K bump moving from generic data-engineering into an AI-data-platform team in 2026.
  • $50–150K bump for senior ICs adding production AI-ready discipline (contracts + lineage + eval) to their resume.
  • Freelance / consulting rates: $180–350/hr — 'we shipped a RAG and it hallucinates' is the most common 2026 inquiry, and the fix is always data.
  • Enterprise: every six-figure deal that touches the EU now needs an Annex IV / Art. 10 story; the engineer who can produce it commands a premium.
Market resilience
  • Data quality + lineage is upstream of every model — survives any foundation-model consolidation.
  • EU AI Act, NIS2, and emerging US/UK regimes all converge on documented data governance — the demand only grows through 2027.
  • Iceberg + OpenLineage are LF-governed standards — protocol fluency is durable across cloud vendors.
  • Vector + RAG is the visible AI; the invisible foundation is AI-ready data. Recruiters know the second one is harder to hire.
  • If model APIs commoditise, the differentiator becomes proprietary, well-governed data — Bloomberg's lesson, restated for everyone.