Introduction to AI for Public Sector Leaders Training Course

This instructor-led, live training in Turkey (online or onsite) targets advanced-level government professionals and policy experts looking to utilize DeepSeek for data-driven governance and policy innovation.

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

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

This live, instructor-led training in Turkey (online or onsite) is designed for intermediate-level public sector professionals who want to leverage Gemini for generating high-quality content, aiding in research, and enhancing productivity through more advanced AI interactions.

Upon completing this training, participants will be able to:

• Design more effective and customized prompts for specific scenarios.
• Produce original and inventive content using Gemini.
• Accurately summarize and compare intricate information.
• Utilize Gemini for efficient brainstorming, planning, and structuring of ideas.

This instructor-led live training (Turkey available online or in-person) is designed for beginner, intermediate, and advanced business analysts, product managers, software teams, and technology leaders who wish to modernize requirements engineering processes using artificial intelligence, document business requirements more rapidly and with higher quality, and convert these requirements into prototypes and data models.

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

• Set up and configure AI tools within requirement analysis, product documentation, and workflow design processes.
• Produce Use Cases, User Stories, and Acceptance Criteria using AI, iteratively refining these outputs.
• Manage the Product Requirement Document (PRD) creation process through an AI-supported analysis and documentation pipeline.
• Generate functional UI prototypes, data models, and system drafts based on business requirements.

Artificial Intelligence is swiftly establishing itself as the bedrock of contemporary product management, fundamentally altering our methods for uncovering customer needs, defining solutions, and making strategic decisions. Much like electricity transformed industrial landscapes, AI is redefining how products are constructed, validated, and iterated.

This live, instructor-led program (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to harness AI for enhanced product ownership and more robust decision-making.

Upon completion of this training, 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 emerging Orchestrator role, utilizing AI to reinforce each position—such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques, viewing AI tools as intelligent partners with distinct professional capabilities.
• Enhance customer insight and develop AI-assisted personas for hypothesis testing and discovery, ensuring genuine customer engagement is maintained.
• Craft and articulate a clear product vision using structured models like the 3x3 Framework, employing AI to refine and visualize narratives.
• Leverage Generative AI tools to speed up prototyping and hypothesis testing, such as creating mock-ups or product concepts.
• Inform product decisions by using AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline or automate routine daily tasks (emails, stakeholder management, note-taking) via AI, allowing more focus on strategic and creative initiatives.
• Facilitate conversations on AI ethics, bias, and data security, promoting responsible and sustainable AI integration.
• Identify and architect high-value AI use cases specifically aligned with 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 solutions.