🎓 Lesson 16: The Critical Role of Data in AI Lesson Objective: To help learners understand why data is the most essential ingredient in AI,
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🎓 Lesson 15: Training, Testing, and Evaluating AI Models Lesson Objective: To help learners understand how AI models are trained, validated, and tested using data
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🎓 Lesson 14: What Makes a Good AI Dataset? Lesson Objective: To help learners understand the importance of high-quality data in AI and machine learning,
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🎓 Lesson 13: Reinforcement Learning Lesson Objective: To introduce learners to Reinforcement Learning (RL) — how it works, where it’s used, and how it differs
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🎓 Lesson 12: Unsupervised Learning Lesson Objective: To help learners understand what Unsupervised Learning is, how it differs from supervised learning, and where it is
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🎓 Lesson 11: Supervised Learning Lesson Objective: To help learners understand what Supervised Learning is, how it works, and where it is commonly used in
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🎓 Lesson 10: Computer Vision and Image Recognition Lesson Objective: To help learners understand what Computer Vision is, how it allows machines to see and
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🎓 Lesson 9: Natural Language Processing (NLP) Lesson Objective: To help learners understand what Natural Language Processing (NLP) is, how it works, and how it’s
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🎓 Lesson 8: Deep Learning – Going Deeper Into AI Lesson Objective: To help learners understand what Deep Learning is, how it builds upon neural
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🎓 Lesson 7: Neural Networks and How They Work Lesson Objective: To help learners understand what Artificial Neural Networks (ANNs) are, how they are inspired
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