Natural Language Processing (NLP) Training in Copenhagen

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 live, instructor-led course in Copenhagen empowers beginners to apply Claude AI within customer support and service operations. Through practical, hands-on exercises, participants will learn to automate triage processes, draft tone-appropriate responses, and embed AI capabilities into existing workflows.

This live Claude AI training in Copenhagen empowers professionals to apply the tool effectively for data analysis and BI objectives. It addresses exploratory data analysis, SQL generation, and dashboard design through natural language prompting, with the goal of refining workflows and enhancing the extraction of insights from business data.

This instructor-led live training, delivered Copenhagen (either online or onsite), is tailored for intermediate data scientists and developers seeking to apply NLP techniques via Python in Google Colab.

Upon completion, participants will be able to:

• Comprehend the fundamental concepts of natural language processing.
• Process and refine text data for NLP tasks.
• Apply sentiment analysis using the NLTK and SpaCy libraries.
• Utilize Google Colab for scalable, collaborative text data development.

This live, instructor-led training in Copenhagen (delivered online or onsite) is designed for intermediate-level researchers, analysts, and knowledge professionals looking to utilize Claude AI for processing large-scale data, synthesizing information, and automating research operations.

By the end of the program, participants will be able to:

• Utilize Claude AI for conducting literature reviews and research synthesis.
• Summarize complex reports, research papers, and long-form content.
• Identify key insights and trends within structured and unstructured datasets.
• Incorporate Claude AI into research and knowledge management processes.

This instructor-led, live training in Copenhagen (available online or onsite) targets beginner to intermediate content creators, writers, and marketers aiming to utilize Claude AI for generating, editing, and summarizing content to improve blogs, reports, and marketing materials.

By the conclusion of this training, participants will be able to:

• Utilize Claude AI for content brainstorming and concept development.
• Refine writing through AI-assisted editing and proofreading.
• Create summaries for long-form content and reports.
• Automate the creation of marketing copy for various platforms.

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 live, instructor-led training in Copenhagen, delivered either online or onsite, is tailored for intermediate software developers and AI engineers who aim to integrate Claude AI into their applications, construct AI-driven chatbots, and improve software functionality through automated AI processes.

By the end of the session, participants will be able to:

• Utilize the Claude AI API to incorporate AI into applications.
• Develop intelligent chatbots and virtual assistants.
• Augment applications with AI-powered automation and NLP techniques.
• Refine and optimize Claude AI models for various operational contexts.

This instructor-led live training, conducted in Copenhagen (either online or onsite), targets entry-level professionals who aim to incorporate Claude AI into their daily operations to boost efficiency and automation.

By the conclusion of this training, participants will have the ability to:

• Utilize Claude AI for the automation of repetitive duties and the refinement of workflows.
• Elevate personal and team productivity through AI-enabled automation.
• Integrate Claude AI with established business tools and platforms.
• Improve AI-supported decision-making and task management processes.

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 instructor-led, live training in Copenhagen (available online or onsite) targets intermediate-level data scientists, AI developers, and AI enthusiasts who want to utilize LLMs for various NLP tasks and to generate novel and diverse content for different purposes.

By the end of the session, participants will be able to:

• Establish a development environment equipped with LLMs and essential tools.
• Expertly perform NLU and NLI tasks using LLMs.
• Extract, infer, and utilize knowledge graphs effectively.
• Generate and manage dialogues for conversational applications using LLMs.
• Evaluate the quality and diversity of content generated by LLMs and generative AI.
• Apply ethical principles to ensure fairness and responsible use of LLMs.

This instructor-led, live training in Copenhagen (delivered online or onsite) is tailored for intermediate professionals seeking to strengthen their NLP projects via the effective fine-tuning of pre-trained language models.

By the conclusion of this training, participants will have the ability to:

• Comprehend the basics of fine-tuning for NLP tasks.
• Customize pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Adjust hyperparameters to boost model performance.
• Evaluate and integrate fine-tuned models into real-world scenarios.

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.

This intensive two-day programme is designed for developers actively leveraging AI coding tools like Cursor, Claude Code, or Copilot. It focuses on delegating end-to-end tasks to agents and constructing a robust personalisation stack comprising Rules, AGENTS.md, Skills, MCP, and Agents. Participants will also learn to connect and build MCP servers, execute agents in parallel, and implement structured agentic workflows. The curriculum is tool-agnostic and serves as the advanced follow-up to the Foundations course.

This two-day course provides a fundamental introduction to AI-assisted software development, designed specifically for individuals new to these technologies, including those with limited or no coding background. It explores the mechanics of AI tools, strategies for effective prompting, and practical applications for common tasks such as constructing a small project from the ground up, integrating with existing codebases, and evaluating outcomes. The curriculum is tool-agnostic, making it applicable to platforms like Cursor, Claude Code, Copilot, and other similar solutions. This module serves as the prerequisite foundation for the 'Agentic AI Development: Advanced Workflows' course.

This two-part instructional programme is tailored for software delivery teams looking to embed AI-assisted engineering workflows into their routine operations using Claude Code.

This course in Copenhagen provides Artificial Intelligence technology training, covering data analysis, distributed machine learning, and natural language processing to help developers build large-scale intelligent systems. The content explores practical methods for Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, assisting professionals in transforming raw data into automated decision pipelines that are deployable to production environments, thereby comprehensively enhancing core competencies in building intelligent systems.

This live, instructor-led training in Copenhagen, offered online or onsite, is designed for senior leaders and executives seeking to utilize Claude as a strategic business assistant. It aims to improve decision-making, speed up planning and create a competitive advantage through AI-augmented leadership.

Claude Code transcends the role of a simple code-completion tool, operating instead as a terminal-native development agent that interprets your codebase, strategizes complex multi-step changes, runs tests, and executes tasks from a single prompt to a working solution. This one-day workshop equips participants with structured, practical experience: setting up Claude Code for real-world projects, writing clear delegations that result in reviewable code, utilizing CLAUDE.md as a persistent project memory store, and linking internal tools via the Model Context Protocol.

This live, instructor-led session in Copenhagen is tailored for intermediate developers aiming to guide a project from its inception to a live, production-ready state using Claude Code.

By the conclusion of the training, learners will be equipped to:

• Set up Claude Code and steer it effectively through CLAUDE.md configurations.
• Construct application skeletons and connect data with a CMS.
• Develop test cases and manage QA processes via subagents.
• Establish automated deployment pipelines to Vercel or Cloud Run.

This live, instructor-led training in Copenhagen (offered online or onsite) is designed for software developers and engineering teams looking to utilize Claude Code to expedite development cycles, enhance code quality, and automate repetitive coding tasks.

By the conclusion of this training, participants will be capable of installing and configuring Claude Code, editing multi-file codebases via natural language, utilizing approval modes, and integrating with Git and CI/CD systems.

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.