Delivered either online or on-site, these instructor-led live Ollama training courses provide interactive, hands-on guidance on efficiently running, fine-tuning, and deploying local AI models.
Training for Ollama is available in two formats: "online live training" and "onsite live training". Online live sessions, also referred to as "remote live training", are conducted via an interactive remote desktop. Onsite sessions can take place directly at your customer premises in Copenhagen or within NobleProg’s corporate training centers located in Copenhagen.
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, instructor-led program in Copenhagen empowers finance practitioners and IT staff to effectively implement Ollama in local environments. Learners will acquire the skills to deploy, configure, and integrate large language models into secure financial workflows, while adhering to compliance and automation best practices.
This live training in Copenhagen empowers healthcare practitioners and IT teams to leverage Ollama for local LLM deployment. Participants will learn to embed AI into clinical workflows, customize models for distinct tasks, and maintain rigorous data privacy and regulatory compliance within secure healthcare environments.
This instructor-led training in Copenhagen explores responsible AI principles specific to Ollama, with a focus on fairness, transparency, and accountability. Through hands-on labs and case studies, participants will design governance workflows, implement bias mitigation techniques, and build compliance monitoring frameworks.
This instructor-led, live training in Copenhagen equips intermediate professionals with the skills to deploy Ollama securely. Learn to apply differential privacy, implement secure logging, and enforce data access controls aligned with regulatory compliance requirements for robust on-prem environments.
This instructor-led live training in Copenhagen empowers intermediate practitioners to achieve mastery in prompt engineering for Ollama. Participants will learn to design high-impact prompts, utilize chain-of-thought methodologies, and manage context windows effectively. By building multi-stage pipelines and optimizing outputs through hands-on exercises, they will refine their prompting capabilities.
This instructor-led training in Copenhagen focuses on scaling Ollama deployments for high-throughput, cost-efficient environments. Participants will learn about GPU optimization, Kubernetes deployment, autoscaling, and monitoring strategies to construct robust LLM infrastructure capable of handling multi-user workloads.
This instructor-led training in Copenhagen guides advanced ML engineers and AI researchers through building multimodal applications with Ollama. Participants will set up local models, integrate text and image inputs, and design visual QA systems and agents for real-world deployment.
This advanced instructor-led training in Copenhagen centers on the diagnosis, testing, and evaluation of local Ollama deployments. It addresses systematic debugging, robust evaluation pipelines, observability, and automated CI/CD integration to secure production reliability and operational readiness.
This live, instructor-led training in Copenhagen (delivered online or on-site) targets advanced professionals aiming to refine and adapt AI models on Ollama to boost performance and address domain-specific requirements.
By the conclusion of this session, participants will be capable of:
Creating an optimized environment for fine-tuning AI models on Ollama.
Preparing datasets for supervised fine-tuning and reinforcement learning.
Enhancing AI model performance, accuracy, and efficiency.
Implementing customized models in production workflows.
Evaluating model advancements and ensuring system robustness.
This instructor-led, live training in Copenhagen (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.
By the end of this training, participants will be able to:
Deploy and configure Ollama for private AI processing.
Integrate AI models into secure enterprise workflows.
Optimize AI performance while maintaining data privacy.
Automate business processes with on-premise AI capabilities.
Ensure compliance with enterprise security and governance policies.
This instructor-led live training in Copenhagen, available online or onsite, targets intermediate professionals aiming to deploy, optimize, and integrate LLMs using Ollama.
By the end of the session, participants will be able to:
Set up and deploy LLMs with Ollama.
Optimize AI models for peak performance and efficiency.
Apply GPU acceleration to enhance inference speeds.
Integrate Ollama into broader workflows and applications.
Monitor and sustain AI model performance over time.
This live, instructor-led training in Copenhagen (delivered online or onsite) is tailored for beginners seeking to install, configure, and utilize Ollama for local AI model execution.
By the end of the session, learners will be able to:
Understand Ollama’s core functions and potential.
Set up Ollama for local AI model operation.
Deploy and interact with LLMs through Ollama.
Optimize resource usage and performance for AI workloads.
Explore real-world applications of local AI across various sectors.
Ollama is an open-source tool designed for running large language models locally on both consumer and enterprise hardware. It streamlines model quantization, GPU allocation, and API serving through a single command-line interface, allowing organizations to self-host LLMs such as Llama, Mistral, and Qwen without the need to send prompts or data to OpenAI, Anthropic, or Google.
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