🎓 Lesson 46: The Importance of Explainable AI (XAI) Lesson Objective: To help learners understand (once again) the importance of transparency in AI systems, the
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🎓 Lesson 45: What Are the Most Important Future Trends Likely in AI Over the Next 20–30 Years? Lesson Objective: To help learners understand the
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🎓 Lesson 44: What Are the Limitations and Challenges of AI? Lesson Objective: To help learners understand the technical, social, ethical, and practical limitations of
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🎓 Lesson 43: What Is Overfitting in Machine Learning? Lesson Objective: To help learners understand what overfitting means in machine learning, why it happens, how
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🎓 Lesson 42: How Do AI Systems Learn from Data? Lesson Objective: To help learners understand the processes, methods, and principles through which AI systems
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🎓 Lesson 41: What Are the Ethical Considerations When Developing AI Systems? 🔍 Lesson Objective: To help learners understand the ethical principles, challenges, and responsibilities
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🎓 Lesson 40: How Is AI Applied in Urban Planning and Smart Cities? 🔍 Lesson Objective: To help learners understand how AI technologies are used
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Lesson 39: How Does AI Contribute to the Optimization of Manufacturing Processes? Lesson Objective: To help learners understand how AI is being used to streamline
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🎓 Lesson 38: Applications of AI in Gaming and Entertainment 🔍 Lesson Objective: To help learners understand how AI is transforming gaming and entertainment through
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🎓 Lesson 37: How Is AI Used in Language Translation and Localization? Lesson Objective: To help learners understand how AI enables real-time translation, interpretation, and
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