DeepSeek for Government and Policy-Making Training Course

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

Upon completion, participants will be equipped to:

• Execute AI-assisted code generation and refactoring in large-scale projects.
• Utilize AI-driven debugging to improve software stability.
• Incorporate DeepSeek Coder into DevOps and CI/CD pipelines.
• Employ AI for intelligent automation in software engineering tasks.

This instructor-led program in Latvia empowers public sector legal and compliance professionals to master AI regulations such as the EU AI Act and GDPR. It enables them to navigate global policy shifts and mitigate legal risks to ensure accountable AI governance.

This instructor-led live training, delivered in Latvia (online or on-site), is specifically tailored for intermediate public sector professionals seeking to harness Gemini for producing high-quality content, supporting research initiatives, and elevating productivity through advanced AI interactions.

By the conclusion of this training, participants will be equipped to:

• Design highly effective and customized prompts for distinct use cases.
• Produce unique and creative material using Gemini.
• Summarize and evaluate complex information with high accuracy.
• Utilize Gemini for efficient brainstorming, planning, and idea organization.

Artificial Intelligence is swiftly emerging as the bedrock of contemporary product management, fundamentally altering approaches to identifying customer requirements, crafting solutions, and driving strategic decisions. Much like the industrial revolution brought by electricity, AI is redefining the lifecycle of product creation, validation, and evolution.

This live, instructor-led training—available both online and onsite—is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to leverage AI to refine their product ownership capabilities and enhance decision-making processes.

Upon completion, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence, distinguishing between conventional AI and Generative AI (GenAI).
• Utilize AI to bolster the seven key Product Owner stances, including the emerging Orchestrator role, as well as established positions such as Visionary, Experimenter, and Customer Representative.
• Develop proficiency in effective prompting, treating AI tools as specialized, intelligent collaborators.
• Enhance customer insights by generating AI-assisted personas for hypothesis testing and discovery, ensuring genuine customer engagement remains central.
• Formulate and articulate a compelling product vision using structured methodologies like the 3x3 Framework, utilizing AI to craft and visualize narratives.
• Employ Generative AI to expedite prototyping and hypothesis validation, including the creation of mock-ups and product concepts.
• Inform product decisions by leveraging AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline routine operational tasks—such as email management, stakeholder coordination, and note-taking—via AI, allowing greater focus on strategic and creative endeavors.
• Facilitate discourse on AI ethics, bias, and data security to ensure responsible and sustainable implementation.
• Conceive and design high-value AI use cases aligned with specific product and organizational contexts.
• Experiment with approximately 20 distinct AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding applications.