AI for Government and Public Sector Training in Prague

This instructor-led, live training in Prague (online or on-site) is designed for senior government professionals and policy specialists looking to harness DeepSeek for data-driven governance and policy innovation.

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

• Leverage DeepSeek AI for policy analysis and strategic decision-making.
• Automate government reports and enhance data transparency.
• Apply AI-driven insights to foster innovation in the public sector.
• Improve citizen engagement through AI-powered solutions.

This instructor-led live training in Prague (available online or on-site) is tailored for intermediate-level public sector professionals interested in using Gemini to generate high-quality content, assist with research, and improve productivity through advanced AI interactions.

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

• Craft more effective and tailored prompts for specific use cases.
• Generate original and creative content using Gemini.
• Summarize and compare complex information with precision.
• Use Gemini for brainstorming, planning, and organizing ideas efficiently.

Artificial Intelligence is swiftly establishing itself as the cornerstone of contemporary product management, fundamentally altering the way we uncover customer requirements, craft solutions, and drive decision-making processes. Much like electricity transformed industrial capabilities, AI is redefining the lifecycle of products—from their creation and validation to their continuous evolution.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this instructor-led live training (available online or on-site) focuses on harnessing the power of AI to elevate product ownership and reinforce strategic decision-making.

Upon completion, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and clearly distinguish between conventional AI systems and Generative AI (GenAI).
• Leverage AI to enhance the seven key stances of a Product Owner—including the emerging Orchestrator role—such as acting as a Visionary, Experimenter, or Customer Representative.
• Develop proficiency in effective prompting techniques, viewing AI tools as capable collaborators with distinct specialized capabilities.
• Deepen customer insights by generating AI-assisted personas for hypothesis testing and discovery, ensuring that authentic engagement with end-users remains a priority.
• Formulate and articulate a coherent product vision using structured methodologies like the 3x3 Framework, while utilizing AI to refine and visualize key narratives.
• Accelerate the prototyping and hypothesis testing phases by employing Generative AI tools to produce mock-ups and conceptual product models.
• Inform product decisions by using AI to analyze, prioritize, and assess features based on criteria such as value, technical feasibility, and user impact.
• Optimize daily workflows by automating or delegating routine tasks—such as email management, stakeholder communication, and meeting notes—to AI, thereby freeing up time for strategic and creative initiatives.
• Facilitate informed discussions on AI ethics, algorithmic bias, and data security to guarantee responsible and sustainable implementation.
• Identify and architect high-value AI use cases that align with specific product goals and organizational contexts.
• Explore and experiment with approximately 20 distinct AI tools and models, ranging from productivity assistants and prototyping platforms to generative solutions for video, image, and code.