
Work out whether this law applies to you, in what role, and on what date.
The entire architecture of the Act in one lecture. Why it is product safety law rather than a technology ban, how the risk pyramid works, where general-purpose AI fits, and why the Act reaches companies with no EU presence.
Provider, deployer, importer or distributor. Your role decides your obligations, and Article 25 can flip it without you making any decision at all. Covers the fine-tuning and rebranding trap that catches most startups.
The compliance timeline as it actually stands after the Digital Omnibus. What is live on 2 August 2026, what moved to December 2027 and August 2028, and why deferral is breathing room rather than relief.
The practices banned outright, already in force, and carrying the heaviest penalties in the Act. Includes the two new prohibitions arriving in December 2026, their carveouts, and a five-question screening routine for your roadmap.
The two independent routes into the high-risk regime and how to check both. Covers the Annex III uses that catch HR, credit, insurance and education technology, the Article 6(3) escape hatch, and why profiling defeats it.
Your nearest deadline. Chatbot disclosure, machine-readable marking of synthetic content, deepfake labelling and emotion recognition notice. Includes the legacy system carveout and the date it expires.
How foundation models are regulated separately from the systems built on them. The systemic risk compute threshold, codes of practice, and, most importantly for downstream builders, exactly what to demand from your model vendor and put in the contract.
The full provider build list: risk management, data governance, technical documentation, logging, instructions for use, human oversight, and accuracy and security. Plus the quality management system that wraps all of it, and why you start now despite a 2027 date.
What you owe when you only use a high-risk system. Covers the duties people most often miss, including worker notification and the explanation right, and walks through a complete worked Fundamental Rights Impact Assessment.
The route to market in sequence. Conformity assessment, harmonised standards and the presumption of conformity, the declaration of conformity, CE marking, registration, and how to design change control so a model retrain does not trigger a full reassessment.
Compliance after launch. Post-market monitoring, the two, ten and fifteen day serious incident clocks, how to build an incident pipeline before you need it, and the contract clauses that make Article 25 enforceable against your suppliers.
Who enforces, how penalties are structured, and what proportionality means for smaller companies. Also covers whistleblower protection and why commercial diligence pressure will reach you long before a regulator does.
How the AI Act interacts with GDPR, why conformity assessment is not a data protection defence, the new route to lawful bias testing, regulatory sandboxes, and the amended AI literacy duty.
Everything in this course turned into a dated, sequenced programme. Inventory, classification, closing the live gap, standing up governance, and fixing your contracts, in ninety days.
The EU AI Act is now enforceable, and most organisations still cannot answer the first question a regulator will ask: which risk category is your AI system in?
This course answers it. In four focused sections you will learn to classify any AI system under the EU AI Act, identify exactly which obligations attach to your role, and build the documentation that proves compliance.
Who this is really for
You are a lawyer being asked AI Act questions you were never trained for. Or a compliance officer, DPO or AI governance manager who owns this file and needs a defensible framework. Or a founder at a startup or tech company who has just discovered the AI Act applies to your product, and you have no idea what that means in practice.
No technical background required. No prior EU regulatory experience required.
What the course covers
The structure and scope of Regulation 2024/1689, including extraterritorial reach and who is caught even outside the EU
The four risk tiers: prohibited practices, high-risk systems, limited risk and minimal risk, with a working classification method you can apply to your own systems
Annex III high-risk categories and what triggers them
Obligations by role: provider, deployer, importer, distributor. This is where most compliance work goes wrong
High-risk requirements: risk management systems, data governance, technical documentation, logging, human oversight, accuracy and robustness
GPAI and foundation model obligations, including the systemic risk threshold
Article 50 transparency duties for chatbots, synthetic content and emotion recognition
Conformity assessment, CE marking and EU database registration
Fundamental Rights Impact Assessments and where they are mandatory
How the AI Act interacts with the GDPR, and where the two regimes overlap and conflict
Penalties, enforcement architecture, and the national supervisory authority structure
The implementation timeline and what the Digital Omnibus changed
What you get
Practical templates and checklists you can use immediately, a risk classification worksheet, and a compliance roadmap you can take into your organisation on Monday morning.
Who I am
I am a technology lawyer, and a legal AI expert. I have drafted over 2,300 technology and compliance agreements, and I am the author of the AI for Lawyers series. I teach this the way I advise clients: practically, and without the academic detour.
Enrol now and stop guessing about your AI Act exposure.