Google AI stands as one of the most forward-looking initiatives in artificial intelligence, fueling innovation across language, vision, and generative technologies. From Gemini to AI Studio, these tools are redefining how organizations build smarter systems and reimagine digital interactions.
Our live, instructor-led training courses provide participants with direct access to Google’s AI ecosystem. Through engaging, hands-on exercises, learners gain practical experience in applying models, creating prototypes, and embedding intelligent services into daily business operations.
Remote participation allows you to enter a collaborative space where code, data, and dialogue move seamlessly through an interactive remote desktop, with expert instructors offering real-time guidance.
For those who prefer in-person learning, we can host sessions at your location in Copenhagen or at NobleProg corporate training centers. This setup offers a focused environment to explore Google AI in scenarios that reflect actual business requirements.
Often referred to simply as Google’s Artificial Intelligence platform, this area links professionals with the latest breakthroughs in machine learning and generative AI, enabling them to leverage innovation from one of the world’s leading technology companies.
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 training on Copenhagen provides a hands-on introduction to Nano Banana, a lightweight LLM framework. Designed for professionals, it focuses on efficient, low-cost deployment and real-world utility, helping you establish a foundation for on-device AI, system integration, and business impact.
During this instructor-led session in Copenhagen, Android developers will learn to incorporate Nano Banana for efficient on-device AI processing. You will gain mastery in SDK configuration, real-time inference, and performance tuning for mobile contexts, ensuring the delivery of secure and privacy-conscious applications.
This instructor-led training in Copenhagen introduces Nano Banana for privacy-preserving mobile AI. It explores on-device processing, secure integration, and compliance strategies for sensitive environments, enabling professionals to construct robust, regulation-ready applications while retaining full control over data.
This live, instructor-led training in Copenhagen explores the optimization of AI models for edge deployment through the use of Nano Banana. Learners will master compression, quantization, and acceleration methods to improve on-device inference capabilities, ensuring a robust balance between accuracy, speed, and resource efficiency.
This live training in Copenhagen centers on developing on-device AI apps using Nano Banana. Participants will learn to optimize models for mobile performance, integrate text and image functionalities, and refine inference pipelines independent of cloud dependence, acquiring practical skills for real-world implementation.
This live, instructor-led training in Copenhagen introduces the application of Gemini 3 in AI Mode to enhance Google Search and knowledge work. Participants at a beginner level are guided through streamlining research, content summarization, and daily operational tasks. Through hands-on exercises, learners develop practical skills for the responsible integration of AI tools within contemporary business settings.
Instructor-led training in Copenhagen focusing on Gemini 3 safety features, governance frameworks, and prompt injection defenses. Participants will learn to apply resilience strategies, manage data risks, and audit AI behavior through hands-on labs designed for secure, policy-aligned deployments of multimodal systems.
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This instructor-led training in Copenhagen focuses on enterprise MLOps, live monitoring, and compliance strategies for Vertex AI. Participants will develop practical skills in constructing pipelines, grounding Gen AI models, and enforcing data residency controls to ensure operational excellence.
This instructor-led live training in Copenhagen (online or onsite) is designed for intermediate-level public sector professionals who aim to utilize Gemini for generating high-quality content, supporting research initiatives, and enhancing productivity via advanced AI interactions.
Following this training, participants will be able to:
Construct more effective and tailored prompts for specific use cases.
Create original and creative content using Gemini.
Precisely summarize and compare complex information.
Employ Gemini for efficient brainstorming, planning, and idea organization.
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This live, instructor-led training in Copenhagen guides beginner to intermediate developers through the capabilities of Google Gemini AI via practical, hands-on projects. Learners will construct AI-driven applications, incorporate NotebookLM, and deploy prototypes while examining the fundamentals of LLMs and their real-world applications.
This instructor-led live training in Copenhagen focuses on designing, testing, and deploying optimised AI workflows using Google AI Studio. Participants will acquire practical skills in integrating models and APIs, enhancing performance, ensuring security compliance, and managing production-grade scalable solutions.
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This live, instructor-led session in Copenhagen (either online or onsite) is tailored for data analysts and business professionals from beginner to intermediate levels who aim to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.
By the conclusion of this training, participants will be able to:
This live, instructor-led training, conducted in Copenhagen (online or on-site), is tailored for intermediate-level IT managers, business application developers, and system integrators seeking to leverage Google AI Studio within their business applications.
By the end of the session, participants will be able to:
Comprehend the essential features and capabilities of Google AI Studio for business integration.
Link AI Studio with business applications through API interfaces.
Adapt AI models to suit distinct business scenarios.
Configure workflows that embed AI predictions into business operations.
Implement AI-driven insights and automation across enterprise applications.
Resolve issues and optimize integrations to support scalability and efficiency.
This live, instructor-led session on Copenhagen (conducted online or onsite) is tailored for intermediate creators seeking to enhance the quality and efficiency of their work through Google Gemini AI.
By the end of the training, participants will be able to:
Understand the impact of AI on content creation workflows.
Set up and deploy Google Gemini AI to generate and refine content.
Use text-to-text conversions to produce original, creative work.
Apply SEO strategies supported by AI-driven data.
Monitor content performance and adjust strategies with the help of Gemini AI.
Expertly navigate generative media creation with Vertex AI models like Imagen and Veo. This instructor-led training in Copenhagen features hands-on labs for generating images, video, and audio, enabling professionals to construct production-ready workflows for creative and enterprise marketing campaigns.
This instructor-led, live training session (delivered online or on-site) is designed for senior AI developers, machine learning engineers, and data scientists aiming to utilise Google AI Studio for the development, refinement, and release of advanced AI solutions.
By the conclusion of this programme, participants will be equipped to:
Navigate the Google AI Studio interface and understand its fundamental parts.
Prepare data for AI projects using the built-in tools of Google AI Studio.
Train, evaluate, and fine-tune machine learning models through AutoML and custom training capabilities.
Deploy AI models as scalable, production-ready services.
Integrate Google AI APIs into applications to expand AI features.
Apply Explainable AI (XAI) tools to promote transparent and ethical AI practices.
Monitor and optimise AI models for both performance and reliability.
This live, instructor-led course in Copenhagen (delivered online or onsite) is tailored for intermediate professionals seeking to master workflow automation through Google AI Studio, utilizing its advanced tools to design, optimize, and manage efficient automated systems.
By the conclusion of this program, learners will be capable of:
Grasping the essential features of Google AI Studio dedicated to workflow automation.
Establishing configurations and integrating Google AI Studio with complementary tools.
Developing and running AI-driven workflow processes.
Embedding conditional logic to achieve smarter, more adaptive automation.
Supervising and refining automated workflows to ensure maximum efficiency.
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By the conclusion of this program, participants will possess the ability to:
Comprehend the extensive capabilities and features of Google Vertex AI.
Configure and set up the Google Vertex AI environment.
Develop and train customized AI models using Vertex AI.
Manage the deployment of AI models on the Google Cloud Platform.
Utilize Vertex AI's monitoring and optimization tools to enhance model performance.
Adopt best practices for both the development and deployment phases of AI models.
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By the end of this training, participants will be equipped to:
Understand the transformative impact of AI on customer service.
Set up Google Gemini AI to automate and tailor customer interactions.
Apply text-to-text and image-to-text transformations to enhance service efficiency.
Develop AI-based strategies for real-time customer feedback analysis.
Explore advanced capabilities to deliver a seamless customer service experience.
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By the conclusion of this training, participants will be able to:
Comprehend the essential principles of large language models.
Set up and apply Google Gemini AI for a variety of AI-related tasks.
Perform text-to-text and image-to-text conversions.
Construct basic applications powered by AI.
Explore advanced functionalities and customization options available in Google Gemini AI.
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By the conclusion of this session, participants will be able to:
Understand the core concepts of AI and machine learning.
Navigate and utilize the features and tools of Google AI Studio.
Construct AI models leveraging pre-existing templates and datasets.
Train and evaluate models through straightforward workflows.
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By the end of the training, participants will be able to:
Explain how Google Cloud drives digital and data transformation.
Describe Google Cloud's AI/ML, infrastructure, security, and operations capabilities from a business standpoint.
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This live, instructor-led session is tailored for entry-level business professionals and leaders aiming to prepare for the Google Cloud Generative AI Leader certification.
By the end of the session, participants will be able to:
Explain core generative AI concepts and Google's foundation models.
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Apply prompt engineering, grounding, and RAG techniques to refine output quality.
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This instructor-led, live training in Copenhagen (online or onsite) targets developers, cloud engineers, and technical product teams at various skill levels. It is designed for those seeking to use Google Cloud generative AI tools to build and assess practical AI applications.
By the end of the training, participants will be able to: understand Google Cloud generative AI services, create effective prompts and workflows, build simple applications using Vertex AI, and apply responsible AI practices.
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