π Lesson 21: How is AI Used in Healthcare and Medical Diagnosis? Lesson Objective: To help learners understand how AI is transforming healthcare β from
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π Lesson 20: Building an AI-Ready Organization Lesson Objective: To help learners understand the cultural, strategic, and operational changes required to become an AI-ready organization
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π Lesson 19: AI Governance β Who Oversees AI? Lesson Objective: To help learners understand what AI Governance means, why it is critical for responsible
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π Lesson 18: Explainable AI (XAI) Lesson Objective: To help learners understand what Explainable AI (XAI) means, why itβs important, and how it helps businesses,
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π Lesson 17: Ethics and Bias in AI Lesson Objective: To help learners understand the ethical risks, responsibilities, and challenges of AI systems, especially related
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π 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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π 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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π 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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π 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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π 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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