Day 1: Foundations of AI
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The first day workshop is designed to introduce students to the fundamentals of artificial intelligence through hands-on activities and real-world examples.
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Session 1
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Introduction to AI and Machine Learning
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Students will learn what AI is and where it appears in everyday life. The session introduces the core ideas of machine learning and how computers learn from data. Using simple web-based tools, students will train models to recognize images, sounds, or text and see how predictions depend on the data provided. Ethical topics are included throughout, such as bias in data, fairness, and the impact of AI decisions on people.
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Session 2
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Introduction to Generative AI
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Students will explore how AI can generate new content such as text, images, music, and more. They will experiment with creative tools and build a simple chatbot, learning how prompts influence results. The session also addresses ethical issues including misinformation, deepfakes, authorship, and responsible use of AI.
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Day 2: Intermediate Artificial Intelligence
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The second-day workshop is designed to introduce students to topics related to Artificial Intelligence.
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Session 1
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Introduction to Data Science
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This session introduces the world of Data Science, the foundation of modern Artificial Intelligence. Students will explore different types of data, learn basic data cleaning techniques, and practice creating simple visualizations to uncover patterns and insights. Through hands-on activities and real examples, participants will discover how data is used to make decisions, solve problems, and power many of the technologies they use every day.
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Session 2
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Introduction to Deep Learning
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This session introduces the concept of Deep Learning, one of the most powerful areas of Artificial Intelligence. Students will learn how neural networks work, explore the idea of layers and activation functions, and see how computers can learn patterns from data. The session also includes an introduction to Convolutional Neural Networks (CNNs), the technology behind image recognition systems. Time permitting, we will also discuss Neural Language Model (NLM). Through simple demonstrations and hands-on activities, students will experience how deep learning models recognize images, classify objects, and power everyday AI applications.
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