AI Engineering Training in Copenhagen

This live, instructor-led program, delivered in Copenhagen (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 Copenhagen, 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 Copenhagen (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 Copenhagen (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 increasingly establishing itself as the core of contemporary product management, fundamentally altering how we identify customer needs, formulate solutions, and drive decision-making. Much like the industrial revolution brought about by electricity, AI is redefining the lifecycle of products, from their construction and validation to their continuous evolution.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this instructor-led live training—available both online and onsite—provides a deep dive into how AI can amplify product ownership and fortify decision-making processes.

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

• Grasp the core principles of Artificial Intelligence and clearly distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the newly introduced Orchestrator role, while leveraging AI to reinforce each position, such as the Visionary, Experimenter, or Customer Representative.
• Refine their prompting techniques to engage AI tools as specialized, intelligent collaborators rather than simple utilities.
• Enhance customer insights by developing AI-assisted personas for hypothesis testing and discovery, ensuring that genuine customer engagement remains central to the process.
• Formulate and articulate a distinct product vision by applying structured models like the 3x3 Framework, utilizing AI to refine and visualize these narratives.
• Expedite the prototyping and hypothesis testing phases by using Generative AI to produce mock-ups and conceptual product designs.
• Inform product decisions by employing AI tools to dissect, rank, and assess features based on their value, feasibility, and user impact.
• Streamline or outsource routine administrative duties, such as email management, stakeholder coordination, and note-taking, to concentrate on high-value strategic and creative initiatives.
• Facilitate conversations regarding AI ethics, bias, and data security to guarantee a responsible and sustainable implementation of AI.
• Recognize and craft impactful AI use cases that align with specific product goals and organizational landscapes.
• Experiment with a diverse portfolio of approximately 20 AI tools and models, ranging from productivity aids and prototyping environments to generative video, image, and coding applications.

This instructor-led, live training in Copenhagen is tailored for teams looking to derive answers from their proprietary documents and guidelines.

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

• Format and prepare documents for seamless AI integration
• Develop a knowledge assistant utilizing Claude Projects, custom GPTs, or Langdock
• Obtain responses accompanied by verifiable sources
• Ensure the knowledge base remains current and updated