Large Language Models (LLMs) Training in Copenhagen

This live, instructor-led training held in Copenhagen (either online or on-site) is specifically designed for senior management professionals. It aims to demystify Large Language Models (LLMs), analyze their strategic impact on business operations, and evaluate the practical utility of AI tools such as ChatGPT, Microsoft Copilot, and Grok for tasks ranging from content creation to data synthesis and decision support.

By the conclusion of this program, participants will possess the ability to:

• Understand the fundamentals of LLMs and the functional capabilities of platforms like ChatGPT and Copilot.
• Utilize advanced prompting techniques to achieve consistent and reliable outcomes from AI models.
• Evaluate tangible use cases, including email drafting, document summarization, and productivity automation.
• Recognize investment opportunities and strategic use cases for implementing AI across the organization.

This live, instructor-led training in Copenhagen (online or onsite) is tailored for senior management teams aiming to understand the strategic potential of LLMs and enterprise AI tools. Participants will examine how to embed these tools into high-level workflows, improve prompt drafting, and evaluate the potential for increased productivity and ROI through AI implementation.

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

• Understand how LLMs operate and how platforms like ChatGPT and Copilot leverage them.
• Utilize prompt-based interactions to automate and speed up tasks.
• Apply AI tools in real-world contexts such as email composition, report summary generation, and agreement analysis.
• Evaluate the strategic advantages, limitations, and licensing factors associated with LLM adoption.

Designed for intermediate to advanced AI researchers, data scientists, and developers, this live, instructor-led training is available online or on-site in Copenhagen. The course focuses on enabling professionals to deeply understand, fine-tune, and implement Meta AI's Large Language Models for diverse NLP applications.

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

• Comprehend the complex architecture and functional logic of Meta AI's Large Language Models.
• Establish and fine-tune Meta AI LLMs tailored to specific operational requirements.
• Develop LLM-based applications, including text summarization tools, chatbots, and sentiment analysis systems.
• Effectively optimize and deploy large language models to ensure high performance.

This live instructor-led training in Copenhagen (delivered online or onsite) is tailored for intermediate-level AI professionals, business analysts, and technology leaders seeking to grasp the principles of generative AI and the practical uses of LLMs in business contexts. Participants will explore transformers, prompt engineering, and the ethical dimensions of deploying these models for real-world applications.

By the end of this training, participants will be capable of:

• Understanding the core principles of generative AI and large language models.
• Implementing and fine-tuning LLMs for dedicated business applications.
• Applying prompt engineering methods to secure optimal model outputs.
• Recognizing ethical issues and managing risks related to LLM deployment.

This live, instructor-led training in Copenhagen (offered online or onsite) is tailored for intermediate-level AI professionals and ethicists, data scientists and engineers, and policy makers and stakeholders seeking to comprehend and manage the ethical dimensions of LLMs.

By the conclusion of this training, participants will be capable of:

• Identifying ethical issues and challenges related to LLMs.
• Applying ethical frameworks and principles to the deployment of LLMs.
• Evaluating the societal impact of LLMs and mitigating associated risks.
• Developing strategies for responsible AI creation and usage.

This instructor-led, live training in Copenhagen (online or onsite) is tailored for intermediate-level NLP practitioners, data scientists, content creators, and translators, along with global businesses seeking to utilise LLMs for language translation and multilingual content creation.

By the conclusion of this training, participants will be capable of:

• Comprehending the principles of cross-lingual learning and translation using LLMs.
• Applying LLMs to translate content across various languages.
• Building and managing multilingual datasets for LLM training.
• Establishing strategies to uphold consistency and quality in translation.

This instructor-led, live training in Copenhagen (offered online or onsite) is designed for intermediate-level financial analysts, data scientists, and investment professionals looking to apply LLMs to financial market analysis and prediction.

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

• Understand the practical application of LLMs in financial market analysis.
• Utilize LLMs to process financial news, reports, and data to gain market insights.
• Build predictive models focused on stock prices, market trends, and economic indicators.
• Integrate LLM-derived insights into their investment decision-making workflows.

This live, instructor-led training in Copenhagen (online or on-site) targets intermediate-level environmental scientists, researchers, data analysts, and policy makers or environmental advocates seeking to apply LLMs to environmental modelling and analysis.

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

• Understand how LLMs are applied in the field of environmental science.
• Use LLMs to analyse and model complex environmental data.
• Interpret LLM-generated results for environmental impact assessments.
• Communicate findings effectively to support policy-making and conservation efforts.

This instructor-led, live training in Copenhagen (online or onsite) is aimed at intermediate-level VR and AR developers, game designers, and AI engineers who wish to incorporate LLMs into VR and AR applications to create more engaging and responsive environments.

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

• Understand the role of LLMs in creating immersive VR and AR experiences.
• Develop VR and AR applications that utilize LLMs for interactive dialogues and content creation.
• Integrate LLMs with VR and AR development tools for enhanced user engagement.
• Apply best practices for designing AI-driven narratives and interactions in virtual spaces.

This live, instructor-led training, delivered either online or onsite in Copenhagen, targets intermediate-level data scientists, machine learning engineers, and software developers seeking to utilize Large Language Models (LLMs) for advanced multimodal AI applications.

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

• Comprehend the fundamental principles of multimodal learning with LLMs.
• Utilize LLMs to handle and analyze text, image, and audio inputs.
• Develop applications that benefit from the integration of multimodal data.
• Evaluate the performance metrics of multimodal LLM systems.

This instructor-led, live training in Copenhagen (available online or on-site) is tailored for intermediate-level cybersecurity professionals and data scientists aiming to harness LLMs to bolster cybersecurity measures and threat intelligence.

Once this training concludes, participants will be able to:

• Understand the impact of LLMs on cybersecurity operations.
• Deploy LLMs for comprehensive threat detection and analysis.
• Utilize LLMs to streamline security automation and response efforts.
• Incorporate LLMs into established security infrastructure.

This instructor-led, live training in Copenhagen (available online or onsite) is tailored for intermediate-level data scientists and business analysts looking to apply large language models (LLMs) to forecast trends and behaviours across multiple industries.

By the end of this course, participants will be equipped to:

• Comprehend the fundamentals of LLMs and their role in predictive analytics.
• Apply LLMs for data analysis and forecasting in various sectors.
• Evaluate the performance of predictive models utilising LLMs.
• Integrate LLMs with current data processing workflows.

This live, instructor-led training in Copenhagen (delivered online or on-site) is designed for intermediate-level data scientists aiming to build a comprehensive understanding and practical proficiency in both Large Language Models (LLMs) and Reinforcement Learning (RL).

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

• Understand the components and functionality of transformer models.
• Optimize and fine-tune LLMs for specific tasks and applications.
• Understand the core principles and methodologies of reinforcement learning.
• Learn how reinforcement learning techniques can enhance the performance of LLMs.

This live, instructor-led session in Copenhagen (available online or on-site) is tailored for intermediate-level content creators, marketers, and educational technologists seeking to utilize LLMs for producing high-quality, diverse, and engaging content across multiple sectors.

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

• Comprehend the potential of LLMs and their practical application in content generation.
• Establish and operate LLMs for the creation of diverse content types.
• Utilize best practices for prompting and fine-tuning models to yield specific results.
• Critically evaluate AI-generated content and adapt it for particular audiences.
• Delve into advanced strategies for creative and multi-modal content development using LLMs.

This instructor-led, live training in Copenhagen (delivered online or onsite) is designed for educators, EdTech professionals, and researchers with diverse backgrounds who aim to utilize LLMs to craft personalized educational experiences.

Upon completion of this training, participants will be equipped to:

• Grasp the architecture and core capabilities of LLMs.
• Recognize potential areas for personalizing educational content through LLMs.
• Develop adaptive learning platforms that employ LLMs for content customization.
• Apply LLM-driven techniques to boost student engagement and improve learning outcomes.
• Assess the efficacy of LLMs in educational environments and drive improvements through data-informed decision-making

This live, instructor-led program in Copenhagen—delivered online or onsite—targets intermediate ML practitioners and AI developers focused on fine-tuning and deploying open-weight models like LLaMA, Mistral, and Qwen for specific business or internal needs.

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

• Grasp the ecosystem and nuances of various open-source LLMs.
• Prepare datasets and fine-tuning configurations for models such as LLaMA, Mistral, and Qwen.
• Run fine-tuning pipelines using Hugging Face Transformers and PEFT.
• Assess, save, and deploy fine-tuned models in secure environments.

This live, instructor-led session in Copenhagen (online or onsite) caters to software developers and data scientists at beginner to intermediate levels who aim to incorporate LLMs into speech recognition and synthesis architectures.

By the conclusion of this program, attendees will possess the ability to:

• Grasp the significance of LLMs in the context of speech technologies.
• Deploy LLMs for high-accuracy speech recognition and realistic speech synthesis.
• Seamlessly integrate LLMs with existing speech recognition engines and synthesizers.
• Optimize and evaluate the effectiveness of speech systems leveraging LLMs.
• Monitor current industry trends and prospective developments in speech technology.

This live, instructor-led session, conducted in Copenhagen (either online or onsite), is designed for beginner to intermediate-level professionals in customer support and IT. It focuses on leveraging LLMs to build responsive, intelligent customer support chatbots.

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

• Understand the fundamental concepts and structural architecture of Large Language Models (LLMs).
• Design and incorporate LLMs into customer support frameworks.
• Boost chatbot responsiveness and elevate the user experience.
• Manage ethical considerations and verify compliance with sector standards.
• Deploy and oversee LLM-based chatbots for real-world operational needs.

This instructor-led live training, conducted in Copenhagen either online or on-site, is designed for intermediate-level data scientists and AI engineers aiming to fine-tune large language models cost-effectively and efficiently. It focuses on techniques such as LoRA, Adapter Tuning, and Prefix Tuning.

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

• Comprehend the theory underlying parameter-efficient fine-tuning approaches.
• Implement LoRA, Adapter Tuning, and Prefix Tuning via Hugging Face PEFT.
• Evaluate the trade-offs in performance and cost between PEFT methods and full fine-tuning.
• Deploy and scale fine-tuned LLMs with lower compute and storage requirements.

This live, instructor-led training, conducted in Copenhagen (either online or onsite), is designed for intermediate to advanced machine learning engineers, AI developers, and data scientists aiming to learn how to leverage QLoRA for the efficient fine-tuning of large models to address specific tasks and customization needs.

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

• Understand the theoretical basis of QLoRA and quantization methods for LLMs.
• Implement QLoRA for fine-tuning large language models tailored to specific domains.
• Optimize fine-tuning outcomes under limited computational resources through quantization.
• Effectively deploy and evaluate fine-tuned models in live application environments.

This live, instructor-led training in Copenhagen (delivered online or onsite) is designed for intermediate-level data and marketing professionals aiming to utilize LLMs for analyzing and interpreting public sentiment from various text sources, such as social media posts, product reviews, and customer feedback.

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

• Understand the core principles of sentiment analysis and how they are applied using LLMs.
• Prepare and preprocess datasets specifically for sentiment analysis workflows.
• Train and fine-tune LLMs to accurately identify and reflect sentiment in text.
• Monitor and analyze sentiment in real-time from social media and other text-based sources.
• Integrate sentiment analysis results into business strategies and strategic decision-making processes.

This instructor-led, live training, offered in Copenhagen (either online or onsite), caters to intermediate-level software developers and technical writers looking to streamline their coding workflows and generate detailed, comprehensive documentation by leveraging LLMs.

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

• Understand the role of LLMs in the automation of code generation and software documentation.
• Use LLMs to generate accurate, efficient code snippets and robust documentation.
• Integrate LLMs into the software development lifecycle to enhance overall productivity.
• Ensure high-quality documentation standards through the use of automated tools.
• Address ethical considerations and apply best practices regarding AI in software development.

This instructor-led live training session in Copenhagen (online or on-site) is designed for intermediate-level business professionals and data analysts looking to utilize LLMs to extract valuable business insights.

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

• Comprehend the fundamentals and applications of LLMs within the context of business intelligence.
• Deploy LLMs to analyze large-scale datasets and uncover significant insights.
• Incorporate LLM-driven analytics into strategic business decision-making processes.
• Evaluate the ethical dimensions and best practices associated with using LLMs in business.
• Foresee future AI trends and prepare for the shifting landscape of business intelligence.

This instructor-led, live training in Copenhagen (online or onsite) is designed for intermediate to advanced developers and data scientists aiming to master LlamaIndex for building innovative LLM-driven applications.

Upon completion of this course, participants will be equipped to:

• Configure and set up LlamaIndex for seamless integration with LLMs.
• Index and interrogate custom datasets via LlamaIndex to augment LLM capabilities.
• Architect and build complex applications leveraging both LlamaIndex and LLMs.
• Apply industry best practices for developing with LLMs and LlamaIndex.
• Navigate the ethical frameworks associated with deploying LLM-driven solutions.

This live, instructor-led session in Copenhagen (online or onsite) is designed for intermediate AI researchers, machine learning specialists, and data scientists aiming to use LlamaIndex to augment AI model capabilities, thereby improving accuracy and reliability in various applications.

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

• Comprehend the underlying principles and key elements of LlamaIndex.
• Ingest and organize data for optimal use with LLMs.
• Deploy context augmentation strategies to boost AI model output.
• Incorporate LlamaIndex into current AI systems and workflows.

Available in Copenhagen (online or onsite), this instructor-led live training is designed for intermediate-level professionals seeking to leverage prompt engineering and few-shot learning to boost LLM performance in practical applications.

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

• Understand the core principles of prompt engineering and few-shot learning.
• Craft effective prompts for diverse NLP tasks.
• Utilize few-shot techniques to adapt LLMs with limited data.
• Optimize LLM output for practical use cases.

This live, instructor-led training (available online or on-site) is designed for advanced engineers, AI specialists, and localization leaders aiming to implement large language model (LLM) systems for automated translation, quality evaluation, and enterprise governance.

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

• Build enterprise-grade LLM localization pipelines that integrate open and proprietary models.
• Implement automated QA workflows and quality metrics to maintain translation consistency.
• Establish governance and approval frameworks for multilingual content production.
• Deploy scalable, auditable LLM-based localization systems in secure environments.

This live, instructor-led training in Copenhagen empowers data engineers to seamlessly integrate LLMs into SQL environments. Attendees will learn to construct natural language pipelines, apply AI-driven optimizations, and design secure enterprise workflows that support automated data analysis.

This live training in Copenhagen empowers practitioners to design, construct, and optimize multimodal LLM workflows in Vertex AI. The curriculum explores Gemini models, long-context reasoning, and pipelines that integrate text, audio, and image data. Through hands-on labs, participants gain practical readiness for real-world implementations.

This live, instructor-led session, delivered online or on-site, is designed for intermediate-level AI developers and localization specialists seeking to build scalable, automated translation pipelines using both proprietary and open-source LLMs.

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

• Design and implement translation workflows using state-of-the-art LLM frameworks and APIs.
• Integrate open-source and commercial models into scalable translation systems.
• Enhance translation quality through fine-tuning, prompt engineering, and automation.
• Deploy cost-efficient and compliant translation infrastructure for enterprise environments.

This instructor-led, live training in Copenhagen (available online or onsite) is tailored for intermediate-level developers looking to master the application of generative AI and LLMs in a variety of contexts and sectors.

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

• Explain the nature of generative AI and how it functions.
• Describe the transformer architecture underlying LLMs.
• Apply empirical scaling laws to optimize LLMs for specific tasks and limitations.
• Use cutting-edge tools and methods to train, fine-tune, and deploy LLMs.
• Analyze the societal and business implications, both positive and negative, of generative AI.

Gain proficiency in AI integration with Postgres through this instructor-led live training in Copenhagen. Configure extensions, deploy pgvector embeddings, and connect LLMs for instant insights. Optimize query performance and develop intelligent systems within a hands-on live-lab setting.

This live, instructor-led session in Copenhagen (online or in-person) is designed for intermediate to advanced AI developers, architects, and product managers seeking to identify and mitigate risks in LLM-driven applications. It covers threats such as prompt injection, data leaks, and unregulated output, while teaching the implementation of security controls like input validation, human-in-the-loop supervision, and output guardrails.

Upon completion, participants will be equipped to:

• Recognize fundamental vulnerabilities within LLM-based systems.
• Implement secure design principles in LLM application architectures.
• Leverage tools like Guardrails AI and LangChain for validation, filtering, and safety measures.
• Incorporate techniques such as sandboxing, red teaming, and human-in-the-loop reviews into production-ready pipelines.

This instructor-led, live training held in Copenhagen (available online or onsite) is tailored for intermediate to advanced professionals seeking to adapt pre-trained models for specific tasks and datasets.

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

• Comprehend the fundamental principles of fine-tuning and its real-world applications.
• Prepare and structure datasets for the fine-tuning of pre-trained models.
• Execute fine-tuning on Large Language Models (LLMs) to handle NLP tasks.
• Optimize model output and resolve frequent technical challenges.

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.

Targeting developers from beginner to intermediate levels, this instructor-led live training is delivered in Copenhagen (available online or onsite) and focuses on applying Large Language Models to diverse natural language tasks.

Upon completion, participants will possess the skills to:

• Configure a development environment incorporating a widely used LLM.
• Build a fundamental LLM and fine-tune it using a specific dataset.
• Apply LLMs to various natural language tasks, including text summarization, question answering, and text generation.
• Debug and assess LLM performance utilizing tools like TensorBoard, PyTorch Lightning, and Hugging Face Datasets.

This live, instructor-led training in Copenhagen (online or onsite) is tailored for observability and SRE engineers looking to embed LLMs and AI into their monitoring, alerting, and incident analysis operations.

This live, instructor-led training in Copenhagen (available online or onsite) is designed for IT support professionals who aim to utilize AI tools and automation platforms to enhance support processes, ensure response consistency, and decrease the burden of manual documentation.

This live, instructor-led training in Copenhagen (available online or onsite) targets intermediate-level engineers and architects who aim to use Tencent Hunyuan to deploy large and MoE models with lower latency, higher throughput, and superior cost management.

By the end of the training, participants will be able to: explain Hunyuan production deployment patterns, optimize inference performance, implement batching and quantization strategies, and plan scalable serving operations.

This live, instructor-led training in Copenhagen (available online or on-site) targets intermediate-level developers, technical product teams, and AI professionals seeking to leverage Hunyuan models for building multimodal applications focused on image, 3D, and video generation and delivery.

Upon completion, participants will be equipped to construct prompt-based workflows, generate and assess multimodal assets, deliver outputs through applications or APIs, and integrate Hunyuan’s capabilities into enterprise product architectures.

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.

This live, instructor-led training in Copenhagen, delivered online or onsite, is designed for AI professionals at beginner, intermediate, or advanced levels who wish to use MCP to link AI assistants with external tools, data, and enterprise services.

By the end of the training, participants will be able to explain MCP concepts, identify key architectural components, establish basic integrations, and apply security best practices.

This live, instructor-led training in Copenhagen (online or onsite) is designed for intermediate-level enterprise architects aiming to use Model Context Protocol to build secure, scalable, and governable agent integration platforms for enterprise environments.

By the end of the training, participants will be able to: explain MCP architecture and enterprise patterns, design secure integration platforms, apply governance and access controls, and evaluate deployment and scaling options.

This instructor-led, live training in Copenhagen (delivered online or on-site) targets intermediate developers, architects, and platform engineers seeking to utilize MCP to build reliable servers and clients for enterprise deployment and operations.

By the conclusion of this training, participants will be able to: explain MCP architecture in practice, construct production-ready integrations, deploy and monitor MCP services, and apply versioning, resilience, and support patterns.

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.