This training is intended for professional development and the certificate obtained does not replace the MYK (National Vocational Qualifications Authority) certification required in MYK-mandated courses.

Training Objective

The Artificial Intelligence in Communication Studies Training aims to teach participants how to effectively use AI in professional communication. This training offers innovative solutions for AI-based content creation, data analysis, social media management, and personal communication strategies.

Training Content

• Artificial Intelligence: Is It the Evolution of Humans?
• 1. Definition of Artificial Intelligence
• What is Artificial Intelligence? What is it not?
• How do software simulate the human brain and consciousness?
• How many different types of AI are there?
• 2. The Relationship Between Data and Humans
• Strengths and weaknesses in data-information-knowledge flow
• Awareness of personal and corporate data security
• 3. The "Short History" of Artificial Intelligence
• Milestones and key figures in its development
• 4. What is Large Language Models (LLM) Technology?
• What is GPT (Generative Pre-Trained Transformer)?
• Why has it recently come to the forefront?
• 5. Why is ChatGPT So Important?
• 6. Perspectives of Governments and Leading Data Companies on AI and Current Developments
• 7. Extraordinary Events in AI Research
• 8. Examples of the Impact of AI (on individuals, companies, governments) and Current Studies
• Interaction with Artificial Intelligence
• 1. Summary of the Theoretical Course and Review of Key Concepts - Q&A
• 2. What is a Prompt?
• 3. Types and Structures of Prompts
• What is its significance for regular users?
• 4. Guidelines for Using ChatGPT Effectively in Academic and Personal Life
• Case Studies
• 5. AI and Ethics
• Potential issues in using AI and suggested solutions
• 6. AI and Safe Environments, Management of Misinformation
• Why is Blockchain technology important in this context? Where does it fit?
• 7. Privacy of Our Personal Data
• 8. Responsibility and Accountability in AI, Ownership Rights
• 9. AI and Power Dynamics
• 10. Current Legal Studies on AI
• AI Applications
• 1. Examples and Practical Studies on Text-Based AI Applications
• 2. Examples and Practical Studies on Visual AI Applications
• 3. Examples of Auditory AI Applications
• 4. Increasing Productivity in Academic Studies with AI and Practical Studies
• 5. Social Media Management with AI and Practical Studies
• 6. Communication Management with AI and Practical Studies
• 7. How Can We Make Data Meaningful? and Practical Studies

The program duration is planned for 20 hours.

This training is open to institutional cooperation (package for corporate/legal entities), and individual applications are not accepted. The training content can be redesigned based on the institutional participant profile and needs. After mutual discussions, the scope and method of the training (Face-to-Face, Online) will be determined, and relevant processes will be completed. If an agreement is reached, suitable days and times for your institution’s participants and the instructor will be coordinated, and the training location will be determined.