DeepSeek for Government and Policy-Making Training Course

This live, instructor-led training, conducted in Germany (whether online or on-site), is designed for intermediate developers, data engineers, and software teams aiming to implement DeepSeek Coder for AI-assisted software development, automation, and optimization.

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

• Apply AI-assisted code generation and refactoring techniques to large-scale projects.
• Utilize AI-driven debugging capabilities to bolster software stability.
• Embed DeepSeek Coder into DevOps and CI/CD workflows.
• Employ AI to achieve intelligent automation across software engineering processes.

This instructor-led training in Germany empowers public sector legal and compliance professionals with the expertise to interpret AI regulations such as the EU AI Act and GDPR, analyze global policy trends, and mitigate legal risks in AI deployment, thereby fostering responsible governance.

This live, instructor-led session in Germany (online or onsite) is tailored for public sector professionals with intermediate skills. It empowers them to utilize Gemini for generating premium content, aiding research processes, and enhancing operational efficiency through advanced AI engagement.

By the conclusion of the program, attendees will be capable of:

• Formulating highly effective and context-specific prompts.
• Producing creative and original material using Gemini.
• Conducting precise summarization and comparative analysis of complex data.
• Streamlining brainstorming, planning, and idea organization with Gemini.

Artificial Intelligence is swiftly establishing itself as the core of contemporary product management, fundamentally altering how we uncover customer needs, shape solutions, and make informed decisions. Much like the industrial impact of electricity, AI is redefining the way products are conceived, validated, and iterated.

Delivered by an instructor in a live format (either online or on-site), this program is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to integrate AI into product ownership to bolster their decision-making capabilities.

Upon completion, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the newly introduced Orchestrator role, leveraging AI to enhance each perspective—such as the Visionary, Experimenter, or Customer Representative.
• Develop proficiency in effective prompting, viewing AI tools as skilled collaborators rather than just utilities.
• Enhance customer insights and generate AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer interactions.
• Articulate a distinct product vision using structured models like the 3x3 Framework, utilizing AI to craft and visualize compelling narratives.
• Expedite prototyping and hypothesis testing through Generative AI tools, including the creation of mock-ups and product concepts.
• Inform product decisions by employing AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline routine tasks—such as email management, stakeholder coordination, and note-taking—via AI, allowing more focus on strategic and creative endeavors.
• Facilitate conversations regarding AI ethics, bias, and data security to ensure a responsible and sustainable adoption process.
• Identify and craft high-value AI use cases that align with specific product and organizational contexts.
• Engage with and test approximately 20 diverse AI tools and models, ranging from productivity aids and prototyping suites to generative video, image, and code solutions.