An AI Assistant on Your Company Knowledge, Without Code Training Course

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 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 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.

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.

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.

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 live, instructor-led training Denmark (conducted online or onsite) targets data scientists and software developers with beginner to intermediate experience. It is designed for professionals seeking to master Milvus and apply it effectively in various AI contexts.

By the end of the session, attendees will be capable of:

• Comprehending the architecture and capabilities of Milvus.
• Deploying vector databases within different AI applications.
• Conducting similarity searches with optimal speed and precision.
• Utilizing Milvus to solve practical AI problems.

This instructor-led live training, delivered in Denmark either online or onsite, is designed for data scientists and software developers at beginner to intermediate levels who seek to apply Pinecone across various AI scenarios, from semantic search to user personalization.

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

• Understand the underlying architecture and capabilities of Pinecone.
• Implement vector databases within different AI applications.
• Conduct similarity searches with high precision and efficiency.
• Deploy Pinecone to solve real-world AI problems.

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 live, instructor-led session in Denmark (delivered online or in person) is designed for novice software engineers and database administrators seeking to understand the core components of vector databases, including their setup, mechanics, and application scenarios.

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

• Understand the definition and utility of vector databases.
• Identify distinctions between vector and standard databases.
• Learn essential methods for generating and handling vector data.
• Conduct basic similarity lookups.
• Recognize the significance of vector databases in AI contexts.

This instructor-led live training, conducted in Denmark (online or onsite), is designed for intermediate to advanced data scientists and machine learning engineers seeking to master vector databases for scalable, high-performance AI applications.

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

• Understand the core principles of vector databases.
• Learn methods for creating and managing vector embeddings.
• Explore indexing strategies for high-dimensional data.
• Develop capabilities for performing efficient similarity searches.
• Apply vector database knowledge to machine learning projects.