Foundations of Artificial Intelligence and Corporate Transformation: Strategy, Compliance, and Future Vision

4,5 (211 voting)
 Last update date 12/2025
 Türkçe

Quality Assurance (QA) / Test Engineer Training check out our education.

This training is intended for professional development purposes, and the certificate obtained does not replace the Vocational Qualification Authority (MYK) authorization certificate required for trainings where MYK authorization is mandatory.

Training Information

  • Training Duration: 2 Days (First Day Theory, Second Day Applications)
  • Level: Beginner / Advanced
  • Participant Profile: Corporate Company Employees, University Students, Individual Participants

Purpose of the Training

At the point we have reached today, artificial intelligence is no longer just a technology, but rather a kind of “professional/personal assistant” that simulates our cognitive competencies and in some cases even surpasses them. This training aims to ensure that institutional employees perceive this transformation not as a threat, but as an opportunity that strengthens their careers. By understanding the logic of artificial intelligence, participants learn how to integrate technology into business processes and become conscious and willing stakeholders in the institution’s digital transformation journey. Our goal is to overcome fear with knowledge and to train visionary professionals who combine human intelligence with machine power.

Training Content
  • Day 1: Theoretical Framework, Concepts, History, and Ethical/Responsible Governance (Mindset Transformation)
  • Fundamentals and the Big Picture
  • The Relationship Between Data and Humans (Not Competition, but Collaboration): The role of data in the digital world, the human factor, and data literacy.
  • Fundamentals of Artificial Intelligence: Data, Hardware, Software
  • The “Brief History” of Artificial Intelligence and Why Now?
  • Conceptual Depth and Responsibility
  • Introduction to the World of Prompts
  • Artificial Intelligence and Ethics (Power and Responsibility)
  • Day 2: Application Workshop and Tool Usage (Practical Transformation)
  • Content Management with Generative Artificial Intelligence
  • Prompt Engineering Applications
  • Text Creation with Generative Language Models
  • Personalizing Language Models
  • Visualization and Specialized Solutions
  • Visual Creation with Generative AI
  • Specialized Language Models
  • Closing Exercise

Training Outcomes

  • Strategic Vision
  • Application Competence
  • Increased Productivity
  • Conscious Use
  • Data Awareness
  • Practical Skills

Training Notes

  • The trainer adapts the content according to the participant profile.
  • The first day is theory-based, and the second day is application-based.
  • General principles of generative artificial intelligence are taken as the basis.
  • An online follow-up session can be held within 1 month.
  • A university-approved certificate is awarded.

The training is open to corporate cooperation (packages for institutions/companies as legal entities), and individual applications are not accepted. The training content can be re-planned according to the corporate participant profile and your needs. As a result of mutual meetings, the scope and method of the training (Face-to-Face, Online) are determined and the relevant processes are completed. If an agreement is reached, suitable days and times of your institution’s participants and our instructors, as well as the training location, are determined.

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