AI Regulation and Compliance Training in Copenhagen
Artificial intelligence is progressing at a pace that outstrips the regulations designed to govern it—creating a complex environment where legislation, technical governance, and practical application intersect. The 'AI Regulation and Compliance' course bridges this gap by translating intricate frameworks into actionable, measurable, and operational guidelines for teams that utilize AI daily.
Our instructor-led live training programs reflect the dynamic nature of modern governance, covering risk classification, transparency duties, data handling standards, and human oversight expectations. They also address the evolving responsibilities of deployers, providers, and end users. Participants analyze how frameworks such as the EU AI Act, ISO/IEC 42001, NIST AI RMF, and emerging national regulatory models influence daily operations, ranging from procurement and design to frontline application.
These online live sessions utilize an interactive remote desktop, providing a controlled environment where teams can test documentation workflows, assess compliance scenarios, and practice governance tasks.
For those preferring in-person instruction, our onsite sessions in Copenhagen—whether at client sites or NobleProg training centers—bring regulatory concepts into the physical workspace. This allows participants to directly align obligations with existing processes, sector-specific needs, and organizational culture.
Also referred to as AI Governance, AI Compliance, or AI Regulatory Readiness, this course track equips professionals to interpret legal duties, mitigate risk, and ensure AI usage aligns with the rapidly changing legal landscape.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
This live training in Copenhagen supports intermediate professionals in governance, compliance, and risk management as they build AI programmes aligned with the EU AI Act. The course covers interpreting obligations, developing governance workflows, assessing risks, and preparing for audits through hands-on exercises.
This instructor-led training in Copenhagen empowers managers to navigate EU AI Act obligations, governance requirements, and strategic implications. Participants will develop the ability to set priorities, establish clear accountability, communicate risks effectively, and build robust governance structures for compliance.
This practical training in Copenhagen equips IT specialists with the necessary engineering controls to ensure EU AI Act compliance. It focuses on designing secure CI/CD pipelines, implementing robust observability, and generating evidence ready for audits. It is ideal for teams seeking practical, technical strategies for compliance.
This instructor-led live training in Copenhagen walks beginner end users through the essentials of EU AI Act compliance. Participants will learn to spot prohibited practices, adhere to safe-use policies, manage incident reporting, and gather basic evidence. The course builds practical competencies for everyday workplace interactions with AI.
This instructor-led training in Copenhagen examines the impact of AI and machine learning on data governance, compliance, and organizational risk. Learners will gain the skills to identify governance challenges, apply DPIAs, and effectively align AI deployments with key regulatory and ethical frameworks.
This instructor-led, live training in Copenhagen (online or onsite) is aimed at intermediate-level AI professionals, business leaders, and compliance officers who wish to understand and implement ethical practices in AI systems. The course covers key ethical frameworks, regulatory standards like the EU AI Act, and practical techniques for auditing AI systems to mitigate bias and enhance transparency.
By the end of this training, participants will be able to:
Understand core principles of responsible AI, including fairness, accountability, and transparency.
Identify and mitigate biases within AI systems.
Implement ethical frameworks and conduct AI audits for compliance.
Apply governance strategies to manage ethical risks in AI deployment.
Through AIGP training, learn how to develop, integrate, and deploy trustworthy AI systems in compliance with emerging laws and policies. The curriculum covers an overview of AI technology, a survey of current laws, and strategies for risk management, security and safety considerations, privacy protection, and other relevant topics.
Build foundational knowledge of AI systems and their use cases, the impacts of AI, and an understanding of responsible AI principles.
Demonstrate understanding of how current and emerging laws apply to AI systems, and how major frameworks can be responsibly governed.
Show comprehension of the AI lifecycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
Present awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance.
Acquire critical AI governance concepts that are also integral to the AIGP certification exam. While not purely a “test prep” course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.
Course objectives transform software and AI engineers into legal engineers—professionals capable of constructing AI systems for legal workflows (eDiscovery, review, investigations).
Within two days, participants will build a complete core stack: ingesting and extracting complex real-world legal data, performing search and retrieval, implementing retrieval-augmented generation (RAG) with citations, maintaining privacy using local models with verifiable proof, executing defensible AI reviews with court-acceptable metrics, and packaging the solution for deployment.
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