Available both online and onsite, these instructor-led live AI Sovereignty training courses offer an interactive, hands-on approach to building, deploying, and managing AI systems. Participants learn how to retain complete authority over AI models, data, infrastructure, governance, and compliance.
AI Sovereignty training is offered as either online live sessions or onsite live sessions. Online live training, also referred to as remote live training, is conducted via an interactive remote desktop. Onsite live training can be hosted at the customer's premises in Copenhagen or at NobleProg's corporate training centers in Copenhagen.
AI Sovereignty emphasizes minimizing reliance on external AI vendors by empowering organizations to run secure, compliant, transparent, and locally controlled AI solutions.
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 instructor-led, live training in Copenhagen (available online or onsite) is designed for system administrators and DevOps engineers seeking to deploy, configure, and manage EXO clusters for private LLM inference across multiple Apple Silicon or Linux nodes.
This instructor-led, live training in Copenhagen (online or on-site) is designed for DevOps engineers and infrastructure architects aiming to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.
This live, instructor-led training in Copenhagen—delivered either online or onsite—targets security engineers and compliance professionals aiming to strengthen EXO deployments, manage model access rights, and supervise AI workloads running exclusively on-premise.
This live, instructor-led training in Copenhagen (delivered online or on-site) is targeted at developers and technical teams seeking to leverage Ollama and open-source models to build and operate private agentic AI solutions on internal infrastructure.
By the end of this training, participants will be able to install and configure Ollama, evaluate and execute open-source models locally, develop basic agentic and retrieval-based workflows, and apply robust security and governance controls required in regulated environments.
Ollama is an open-source tool designed for executing large language models locally on consumer and enterprise hardware. It simplifies complex processes like model quantization, GPU allocation, and API serving into a single command-line interface. This enables organizations to self-host LLMs such as Llama, Mistral, and Qwen, ensuring that prompts and data are not shared with external providers like OpenAI, Anthropic, or Google.
This live, instructor-led training in Copenhagen (online or on-site) targets mid-level IT leaders, compliance specialists, security teams, and enterprise architects. It focuses on leveraging sovereign AI principles and governance strategies to build AI environments that ensure data security, satisfy localization requirements, and minimize vendor dependency.
By the end of the session, participants will be able to articulate sovereign AI concepts, assess hosting and governance alternatives, implement controls for prompts and logs, and formulate a practical adoption roadmap.
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