AI Simplified for the Rajasthan Region
This guide connects modern technology with our local bioregional wisdom.
Start here Welcome and Course Philosophy- 1 Chapter 1: What is AI? (Part 1) Defining Computers in Real Terms · Mapping the Computing Landscape.
- 2 Chapter 1: What is AI? (Part 2) The Philosophy of Mind and Meaning.
- 3 Chapter 2: AI Problem Solving (Part 1) Navigating State Spaces and Planning.
- 4 Chapter 2: AI Problem Solving (Part 2) Game Trees and Strategic Anticipation · Heuristics and Practical Shortcuts.
- 5 Interactive Notebook 1: Beginner's Guide to Jupyter & AI Search A zero-knowledge step-by-step introduction to interactive code cells, plus Python problem-solving algorithms.
- 6 Chapter 3: Real World AI and Uncertainty (Part 1) Probabilistic Reasoning in a Noisy World · Updating Beliefs with Bayes Rule.
- 7 Chapter 3: Real World AI and Uncertainty (Part 2) Naive Bayes and Text Classification.
- 8 Interactive Notebook 2: Probabilistic Reasoning & Naive Bayes Classifier Hands-on Python experiments calculating Bayes Rule and categorizing community text messages automatically.
- 9 Chapter 4: Machine Learning (Part 1) The Three Learning Paradigms · Nearest Neighbors and Recommendation Systems.
- 10 Chapter 4: Machine Learning (Part 2) Regression and Predictive Trend Lines · The Danger of Overfitting.
- 11 Interactive Notebook 3: Machine Learning from Examples & Recommendations Hands-on Python experiments discovering decision boundaries from labelled data and calculating nearest neighbor recommendations.
- 12 Chapter 5: Neural Networks and Deep Learning (Part 1) From Biological Brains to Artificial Nodes · Network Architecture and Backpropagation.
- 13 Chapter 5: Neural Networks and Deep Learning (Part 2) Convolutional Neural Networks for Vision · Transformers and Generative AI.
- 14 Interactive Notebook 4: Deep Learning, Artificial Neurons & Language Models Hands-on Python experiments simulating an artificial perceptron node and predicting next words like ChatGPT.
- 15 Chapter 6: Societal Implications and the Future The Science of Forecasting · Algorithmic Bias and Representational Justice · Transparency, Privacy, and Democratic Oversight · Democratizing AI Education.