Online AI Engineering Training in Denmark

This live, instructor-led program, delivered in Denmark (either online or on-site), is tailored for intermediate to advanced AI professionals and software developers aiming to construct intelligent applications through AI and ML.

By the conclusion of the course, learners will be positioned to:

• Master the advanced concepts and technologies underpinning AI and ML.
• Utilize data analysis and visualization to steer AI/ML model development.
• Effectively build, train, and release AI/ML models.
• Engineer intelligent applications that address genuine industry problems.
• Critically evaluate the ethical impacts of AI deployment in diverse fields.

Available in Denmark, this instructor-led live training—whether online or onsite—caters to intermediate and advanced professionals in data science, engineering, and AI. It is designed for those aiming to perfect their command over intelligent application structures and deploy them to tackle sophisticated, real-world issues.

By the conclusion of the course, attendees will be capable of:

• Implementing and dissecting deep learning architectures.
• Executing machine learning at scale across distributed computing systems.
• Designing and running reinforcement learning models for effective decision-making.
• Crafting sophisticated NLP systems for deep language understanding.
• Applying computer vision methods for comprehensive image and video analysis.
• Tackling ethical frameworks during the development and rollout of AI systems.

This instructor-led, live training in Denmark (delivered online or onsite) is designed for AI engineers and software developers at beginner to intermediate levels who aim to build a robust foundation in AI engineering principles and practices.

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

• Understand the key concepts and technologies driving AI and machine learning.
• Build basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to solve real-world problems in software development.
• Manage and maintain AI projects following established best practices.
• Recognize the ethical considerations and responsibilities in AI system development.

This instructor-led live training, conducted in Denmark (online or onsite), is tailored for beginner-level IT professionals aiming to build a solid foundation in intelligent applications and understand their applicability across diverse industries.

By the end of the program, participants will be capable of:

• Understanding the historical context, principles, and impact of artificial intelligence.
• Identifying and implementing different machine learning algorithms.
• Managing and analyzing data efficiently for AI applications.
• Recognizing the practical applications and constraints of AI in various sectors.
• Exploring the ethical considerations and societal effects of AI technology.

This two-day, hands-on initiative empowers participants with practical competencies to utilize Generative AI tools effectively, safely, and consistently in both technical and operational domains. The training centers on leveraging AI as a reliable day-to-day aid for drafting and enhancing documentation, structuring requirements, expediting analysis and reporting, supporting problem-solving efforts, and optimizing cross-functional communication. Attendees will acquire proven prompting patterns, validation techniques designed to mitigate errors and “hallucinations,” and lightweight governance measures to secure confidential information and intellectual property. The course is crafted to generate immediately usable templates, workflows, and a reproducible framework for AI-assisted work.

This instructor-led, live training is designed for individuals seeking to ensure their organization remains compliant, minimizes risks, and empowers its workforce to leverage AI safely and ethically.

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

• Understand the functionality of AI systems and their potential applications.
• Identify the risks and limitations associated with AI systems.
• Adhere to relevant legal and ethical requirements.

Artificial Intelligence is swiftly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we uncover customer needs, define solutions, and make strategic decisions. Much like electricity transformed industry, AI is redefining the process of building, validating, and evolving products.

This instructor-led, live training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to understand how AI can elevate product ownership and bolster decision-making processes.

Upon completing this training, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven key stances of a Product Owner, including the new Orchestrator stance, and utilize AI to reinforce each position—such as the Visionary, Experimenter, or Customer Representative roles.
• Master effective prompting techniques, viewing AI tools as intelligent collaborators with specialized capabilities.
• Enhance customer understanding by creating AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer engagement.
• Develop and articulate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to craft and visualize narratives.
• Utilize Generative AI tools to speed up prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
• Inform product decisions by employing AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks, such as email management, stakeholder communication, and note-taking, using AI to concentrate on strategic and creative endeavors.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI adoption.
• Identify and design valuable AI use cases tailored to specific product and organizational contexts.
• Explore and experiment with approximately 20 different AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.