The AI Engineer's Guide to Surviving the EU AI Act
GOTO Conferences. Connects the EU AI Act to data quality, MLOps, documentation and post-deployment monitoring. That makes it a good companion for the article's SME governance baseline: the work starts with knowing the system, data, owner, purpose and controls, not with buying a compliance platform.
AI Expert note
This is not legal advice and it does not replace current official guidance or local counsel. Use it for the engineering mindset, then verify dates, roles and obligations against the latest EU and Estonian guidance before changing policy.
What you should get from this
Understand why AI Act readiness depends on practical AI system inventory, data governance, engineering controls and operational ownership.
Watch or know first
Basic awareness of AI systems in business and why regulated or rights-impacting use cases need stronger controls.
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Take it further
Hand-picked external courses that go deeper on this topic.
EIPA — European Institute of Public AdministrationAI & EU Law: Definition and Developments
The fastest credible briefing on what the AI Act actually says — written by the institute that trains EU civil servants. Forty-five minutes; covers the risk-tier classification, who's responsible for what, and what changes for your product roadmap. The single best starting point for EU-deployed AI systems.
Coursera · University of MichiganGenerative AI: Governance, Policy, and Emerging Regulation
Few courses survey the regulatory landscape across the US, EU, and G7 in one place; this one does. Useful for compliance officers and product leaders trying to ship into multiple jurisdictions without inheriting hidden legal exposure. Pairs well with the EIPA EU AI Act primer for the European-specific detail.