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<< MONTH 1 >> Week 1 and 2
🧩 Module 1: Introduction to Artificial Intelligence
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What is AI? Overview of history, scope, and impact
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AI vs Machine Learning vs Deep Learning
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Key terminology and real-world applications
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AI ethics and societal implications
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Week 1 >>>
Day 1
Lecture - PDF -
TITLE: "Introduction to the course, syllabus"
Discussion - PDF -
TITLE: "Course description, expectations and outcomes"
Recording -LINK -
TITLE: "Intro to Course"
Assignment - PDF -
TITLE: "Questionnaire"
Day 2
Lecture - PDF -
TITLE: "Introduction to AI and ML"
Discussion - PDF -
TITLE: "AI vs Machine Learning"
Recording -LINK -
TITLE: "Intro to AI and ML"
Assignment - PDF -
TITLE: No assignment
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Week 2 >>>
Day 1
Lecture - PDF -
TITLE: "Image prompt AI tools"
Discussion - PDF -
TITLE:
Assignment - PDF -
TITLE: None
Day 2
Lecture - PDF -
TITLE: "Python programming basics" the narrative
Discussion - VIDEO -
TITLE: "The Complete History of Python"
Assignment - PDF -
TITLE: None
<< MONTH 1 >> Week 3 and 4
💡 Module 2: Foundations of Machine Learning
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Core ML concepts: supervised, unsupervised, reinforcement learning
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Types of data and features
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Model training, validation, and testing
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Overfitting and generalization
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Week 3 >>>
Day 1
Lecture - PDF -
TITLE: "video prompt AI tools Part 1"
Discussion - PDF -
TITLE:
Recording -LINK -
TITLE: "AI Video 1 and 2"
Assignment - PDF -
TITLE: None
Day 2
Lecture - PDF -
TITLE: "video prompt AI tools Part 2"
Discussion - PDF -
TITLE:
Recording -LINK -
TITLE: "AI Video 1 and 2"
Assignment - PDF -
TITLE: None
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Week 4 >>>
Day 1
Lecture - PDF -
TITLE: "video prompt AI tools Part 3"
Discussion - PDF -
TITLE:
Recording -LINK -
TITLE: "AI Video 3"
Assignment - PDF -
TITLE: None
Day 2
Lecture - PDF -
TITLE: "Python application and execution Part 1"
Discussion - PDF -
TITLE:
Assignment - PDF -
TITLE: None