Introduction to AI Programming for Public Sector Innovation 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 quickly establishing itself as the cornerstone of contemporary product management — revolutionizing the way we uncover customer needs, define solutions, and make critical decisions. Just as electricity transformed industry, AI is reshaping how products are constructed, validated, and evolved.

This instructor-led, live training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who wish to understand how AI can enhance product ownership and strengthen decision-making capabilities.

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

• Grasp the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner (including the new Orchestrator stance) and utilize AI to reinforce each stance — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and view AI tools as intelligent collaborators with specialized skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Use Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support product decisions by using AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to focus on strategic and creative work.
• Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption.
• Identify and design valuable AI use cases tailored to the specific product and organizational context.
• Explore and experiment with around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.