

# Event Details

- **Event Name**: AI Act Quality Management Systems QuickStart
- **Event Start and End Date**: Tue, 12 Jan, 2027 at 09:00 am – Tue, 12 Jan, 2027 at 05:00 pm (+00:00)
- **Event Description**: This QuickStart course provides a clear, actionable QMS implementation plan aligned with Article 17 and the prEN 18286 QMS standardAbout this EventQuickStart: Implementing a Compliant Article 17 Quality Management System for the EU AI ActUnder the EU Artificial Intelligence Act, providers of high-risk AI systems are legally required to implement and maintain a documented Quality Management System (QMS) as mandated by Article 17. This practical 1-day QuickStart course delivers a clear, step-by-step implementation roadmap based on the leading draft European standard prEN 18286, equipping you with the tools and confidence to build a compliant, product-centric QMS efficiently from day one.Article 17 establishes one of the foundational obligations for high-risk AI providers. It requires a QMS that is deliberately product-centric and lifecycle-focused—unlike traditional organisation-wide standards such as ISO 9001—so it can address the unique challenges of AI systems, including model drift, data quality, continuous learning, and dynamic risks to health, safety, and fundamental rights.In this intensive course, you will receive practical, in-depth guidance on how to create, implement, maintain, and continuously improve a compliant AI Quality Management System aligned with prEN 18286. The program focuses on the core elements you need to get started immediately and is designed for developers, engineers, IT and MLOps managers, Data Protection Officers (DPOs), risk managers, legal and compliance professionals, governance specialists, internal auditors, and AI practitioners.By the end of the day, you will leave with a concrete, actionable roadmap to navigate the evolving AI regulatory landscape in 2026 and beyond—turning Article 17 compliance into a genuine strategic advantage for trustworthy, high-quality AI deployment across Europe.COURSE AGENDADAY 1: The QMS FoundationTime: 9.00am - 4.30pmPlan the governance structure (Board, Regulatory Compliance Officer, AI QSM Manager, Authorised Representative)AI Literacy requirementsRisk classification schemeRegulatory compliance strategyQuality management system design, processes and documentationTechnical documentation requirementsHuman oversight obligationsData governance and internal control requirementsLogging, post-market monitoring and incident reportingConformity assessment preparation - procedures vary by system categorySample rollout plan with accountability matrixLEARNING OUTCOMESBy the end of this course, you will:Articulate the core requirements Clearly explain Article 17’s 13 mandatory QMS elements, why the AI Act deliberately requires a product-centric (not organisation-centric) approach, and how the QMS should be designed to reduce regulatory risk, speed up CE marking, and creates competitive advantage in the EU market.Define scope and leadership accountability for a specific high-risk AI system Draft a proportionate QMS scope statement for a sample AI product, assign clear roles and responsibilities using an accountability framework.Identify the AI lifecycle process model, needed controls, and sample traceability matrix Define a high-level process model linking the full AI lifecycle (data collection → design → deployment → post-market monitoring → decommissioning) to the QMS, highlighting AI-specific requirements such as data governance (Article 10), risk management (Article 9), model drift/change management, and serious-incident reporting (Article 73).Apply best practices for the most critical Article 17 elements Identify and prioritise procedures and activities and example templates for:Build an implementation roadmap Plan the development of practices against prEN 18286/Article 17, produce a prioritised 90-day action plan, consider resource constraints, and integration with existing operational practices.Leave with confidence and next-step clarity Articulate the path forward.***By signing up for this event, registrants agree to allow AI Assurance Institute to contact them regarding their registration and attendance at the event. The data that is collected will only be used for administration of this event.
- **Event URL**: https://allevents.in/dublin/ai-act-quality-management-systems-quickstart/100001985905360392
- **Event Categories**: fitness, Workshops, health-wellness
- **Interested Audience**: 
  - total_interested_count: 0
- **Event Highlights**: 
  - Duration: 8 hours
  - Location: Hilton Dublin
  - Languages: English

## Ticket Details

- **Ticket Price Range**: min: 450, max: 450, currency: EUR

## Event venue details

- **city**: Dublin
- **state**: DN
- **country**: Ireland
- **location**: Hilton Dublin
- **lat**: 53.3311255
- **long**: -6.2579335
- **full address**: Hilton Dublin, Charlemont Place, Dublin, Ireland

## Event gallery

- **Alt text**: AI Act Quality Management Systems QuickStart
  - **Image URL**: https://cdn-az.allevents.in/events10/banners/0cf348b8c27af8570e5d2a10a40855c629db76543d8cc9bff6ec6ed9cd197f12-rimg-w1000-h675-dcc0d7d6-gmir.jpg?v=1783612464

## FAQs

- **Q**: When and where is AI Act Quality Management Systems QuickStart being held?
  - **A:** AI Act Quality Management Systems QuickStart takes place on Tue, 12 Jan, 2027 at 09:00 am to Tue, 12 Jan, 2027 at 05:00 pm at Hilton Dublin, Charlemont Place, Dublin, Ireland.
- **Q**: Who is organizing AI Act Quality Management Systems QuickStart?
  - **A:** AI Act Quality Management Systems QuickStart is organized by AI Assurance Institute.
- **Q**: Who is this event for? Is it right for me?
  - **A:** AI Act Quality Management Systems QuickStart is ideal for curious learners, students, and skill-builders looking to gain hands-on knowledge and practical expertise in a focused, interactive setting. Whether you're a first-time attendee or a longtime enthusiast in Dublin, this event is thoughtfully curated to deliver a standout experience worth every moment. If AI Act Quality Management Systems QuickStart sounds like your kind of event, don't wait - spots fill up fast.

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