AI for Government and Public Sector Training in Copenhagen

This live, instructor-led course, delivered at Copenhagen (either online or onsite), is tailored for advanced government professionals and policy experts looking to utilize DeepSeek for data-informed governance and policy advancement.

Following this training, attendees will have the capability to:

• Apply DeepSeek AI to aid policy analysis and strategic decision-making.
• Automate the generation of government reports to enhance data transparency.
• Deploy AI-derived insights to foster public sector innovation.
• Improve citizen engagement through AI-driven tools.

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.

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.