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<< MONTH 3 >> Week 1 & 2
🧠 Module 5: Deep Learning Fundamentals
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Neural network basics: neurons, layers, activation functions
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CNNs and RNNs overview
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Introduction to frameworks (TensorFlow, PyTorch)
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Building a simple neural network model
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Week 1 >>>
Day 1
Lecture - PDF -
TITLE: "AI Ethics and Bias"
Discussion - VIDEO -
TITLE: "What is AI Ethics?"
Assignment - PDF -
TITLE: None
Day 2
Lecture - PDF -
TITLE: "AI and ML history"
Discussion - VIDEO -
TITLE: "A Brief History of AI"
Assignment - PDF -
TITLE: None
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Week 2 >>>
Day 1
Lecture - PDF -
TITLE: "Data Science and Machine Learning PART 1"
Discussion - VIDEO-
TITLE: "What is Exploratory Data Analysis (EDA)?"
Assignment - PDF -
TITLE: None
Day 2
Lecture - PDF -
TITLE: "Data Science and Machine Learning PART 2"
Discussion - VIDEO -
TITLE: "Exploratory Data Analysis"
Assignment - PDF -
TITLE: "Understanding Exploratory Data Analysis (EDA)"
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<< MONTH 3 >> Week 2 & 3
🤖 Module 6: AI Applications and Tools
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Natural Language Processing (chatbots, sentiment analysis)
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Computer Vision (image recognition, object detection)
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Generative AI (text, image, and music generation)
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APIs and AI tools integration
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Week 3 >>>
Day 1
Lecture - PDF -
TITLE: "Clustering Algorithms"
Discussion - VIDEO -
TITLE: "Introduction to Clustering"
Assignment - PDF -
TITLE: "Continue last week's assignment"
Day 2
Lecture - PDF -
TITLE: "How to Mitigate Bias"
Discussion - VIDEO -
TITLE: "3 types of bias in AI"
Assignment - PDF -
TITLE: None
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Week 4 >>>
Day 1
Lecture - PDF -
TITLE: "Computer Vision"
Discussion - VIDEO -
TITLE: "Computer Vision Explained"
Assignment - PDF -
TITLE: None
Day 2
Lecture - PDF -
TITLE: "What is Generative AI"
Discussion - VIDEO -
TITLE: "Generative AI Explained"
Assignment - PDF -
TITLE: “Seeing and Creating Like a Machine”