AI-Enhanced Public Service Delivery Training Course

This instructor-led program in France empowers public sector legal and compliance professionals to interpret AI regulations such as the EU AI Act and GDPR, evaluate global policy trajectories, and mitigate legal risks in AI adoption to ensure responsible governance.

This instructor-led, live training in France (online or onsite) is designed for advanced-level government professionals and policy experts who aim to leverage DeepSeek for data-driven governance and policy innovation.

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

• Utilize DeepSeek AI for policy analysis and strategic decision-making.
• Automate government reports and improve data transparency.
• Apply AI-driven insights for public sector innovation.
• Enhance citizen engagement through AI-powered solutions.

This instructor-led live training in France (online or onsite) is designed for intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, support research, and improve productivity through more 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 how organizations identify customer needs, craft solutions, and drive strategic decisions. Much like the industrial revolution brought about by electricity, AI is redefining the lifecycle of products—from initial construction to validation and long-term evolution.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this live, instructor-led training (available online or onsite) explores how AI can amplify product ownership capabilities and reinforce evidence-based decision-making.

Upon completion, participants will be equipped to:

• Grasp the core principles of AI and distinguish between conventional AI systems and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the emerging Orchestrator role, leveraging AI to enhance specific capabilities such as Visionary, Experimenter, or Customer Representative.
• Refine prompting techniques to interact with AI tools as specialized, intelligent collaborators.
• Deepen customer insights by creating AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer engagement.
• Formulate and articulate a distinct product vision using structured methodologies like the 3x3 Framework, utilizing AI to refine and visualize narratives.
• Leverage Generative AI to expedite prototyping and hypothesis validation, including the generation of mock-ups and product concepts.
• Enhance product decision-making by employing AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Delegate or automate routine operational tasks—such as correspondence, stakeholder coordination, and note-taking—to prioritize strategic and creative endeavors.
• Facilitate discussions on AI ethics, algorithmic bias, and data security, promoting responsible and sustainable adoption.
• Identify and design high-value AI use cases aligned with specific product and organizational contexts.
• Explore and test approximately 20 diverse AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.