Course Content
Foundations of Artificial Intelligence and Its Conceptual Framework
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Introduction to Artificial Intelligence
Types of Artificial Intelligence
The Historical Development of Artificial Intelligence Across Five Major Phases
Core Concepts in Artificial Intelligence
Machine Learning and Deep Learning
Generative Artificial Intelligence: Understanding, Application, and Impact
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What Is Generative Artificial Intelligence?
How Do Generative Models Work?
Applications of Generative AI
Generative Artificial Intelligence Across Professional Domains
Artificial Intelligence in Daily Life
Data Awareness and Data Quality in Artificial Intelligence Use
Prompt Engineering
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Prompt Engineering in Artificial Intelligence
The Five Components of an Effective AI Prompt
Real-Life Everyday Examples of Prompt Engineering
Common Mistakes and How to Fix Them
Leadership Skills in the Age of Artificial Intelligence
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AI-Driven Leadership Skills
Methodological Framework for Building Leadership Skills in the Age of Artificial Intelligence
Risks and Security Challenges in Artificial Intelligence
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Artificial Intelligence: Risks and Security Challenges
Adversarial Attacks, Data Distribution Shifts, and the Difficulty of Explaining Models
AI Ethics: A Value-Based Framework for Responsible Use
Making Informed Decisions with Artificial Intelligence
A Methodological Framework for Informed AI-Based Decision-Making
Practical Examples from 2025
Distinguishing Between Accurate and Misleading Information Generated by Artificial Intelligence
Social Responsibility and the Impact of Artificial Intelligence Decisions
Developing Innovation Skills Using Artificial Intelligence
Artificial Intelligence and Sustainable Development
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Direct Impacts on Global Goals
SDGs Most Directly Affected by Artificial Intelligence
Global Principles for Responsible and Trustworthy Artificial Intelligence
The Future of Artificial Intelligence
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Emerging Trends and Transformations
Future AI Scenarios (2030–2040)
International AI Driving License
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