rearranging repo entirely

README.md

@@ -10,7 +10,7 @@
 
 # Artificial Intelligence for Beginners - A Curriculum
 
-> **This curriculum is being actively developed on GitHub. Look into [contributing](CONTRIBUTING.md) to see which areas require active contributions. Please consider this a pre-release, and do not actively use in the classroom yet!**
+> **This curriculum is being actively developed on GitHub. Look into [contributing](/etc/CONTRIBUTING.md) to see which areas require active contributions. Please consider this a pre-release, and do not actively use in the classroom yet!**
 
 
 Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about **Artificial Intelligence**. 
@@ -27,7 +27,7 @@ What we will not cover in this curriculum:
 * Business cases of using **AI in Business**. Consider taking [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-57639-dmitryso) learning path on Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-57639-dmitryso), developed in cooperation with [INSEAD](https://www.insead.edu/).
 * **Classic Machine Learning**, which is well described in our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)
 * Practical AI applications built using **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-57639-dmitryso)**. For this, we recommend that you start with modules Microsoft Learn for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-57639-dmitryso), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-57639-dmitryso) and others.
-* Specific ML **Cloud Frameworks**, such as [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-57639-dmitryso) or [Azure Databricks](). Consider using [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-57639-dmitryso) and [Build and O perate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-57639-dmitryso) learning paths.
+* Specific ML **Cloud Frameworks**, such as [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-57639-dmitryso) or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-57639-dmitryso). Consider using [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-57639-dmitryso) and [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-57639-dmitryso) learning paths.
 * **Conversational AI** and **Chat Bots**. There is a separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-57639-dmitryso) learning path, and you can also refer to [this blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more detail.
 * **Deep Mathematics** behind deep learning. For this, we would recommend [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio and Aaron Courville, which is also available online at [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
 
@@ -40,7 +40,7 @@ For a gentle introduction to *AI in the Cloud* topics you may consider taking th
 <tr><th>No</th><th>Lesson</th><th>Intro</th><th>PyTorch</th><th>Keras/TensorFlow</th><th>Lab</th></tr>
 
 <tr><td>I</td><td colspan="4"><b>Introduction to AI</b></td><td>PAT</td></tr>
-<tr><td>1</td><td>Introduction and History of AI</td><td><a href="1-Intro/README.md">Text</a></td><td></td><td></td><td></td></tr>
+<tr><td>1</td><td>Introduction and History of AI</td><td><a href="/lessons/1-Intro/README.md">Text</a></td><td></td><td></td><td></td></tr>
 
 <tr><td>II</td><td colspan="4"><b>Symbolic AI</b></td><td>PAT</td></tr>
 <tr><td>2 </td><td>Knowledge Representation and Expert Systems</td><td><a href="2-Symbolic/README.md">Text</a></td><td colspan="2"><a href="2-Symbolic/Animals.ipynb">Expert System</a>, <a href="2-Symbolic/FamilyOntology.ipynb">Ontology</a>, <a href="2-Symbolic/MSConceptGraph.ipynb">Concept Graph</a></td><td></td></tr>

etc/docsify-to-pdf/docs/_sidebar.md

@@ -0,0 +1,20 @@
+- Introduction
+  - [Introduction to AI](../../../lessons/1-Intro/README.md)
+  - [Knowledge Representation and Expert Systems](../../../lessons/2-Symbolic/README.md)
+  - [Neural Networks - Perceptron](../../../lessons/3-NeuralNetworks/03-Perceptron/README.md)
+  - [Neural Networks - Your Own Framework](../../../lessons/3-NeuralNetworks/04-OwnFramework/README.md)
+  - [Neural Networks - Perceptron](../../../lessons/3-NeuralNetworks/05-Frameworks/README.md)
+  - [Computer Vision - Convolutional Neural Networks](../../../lessons/4-ComputerVision/07-ConvNets/README.md)
+  - [Computer Vision - Transfer Learning](../../../lessons/4-ComputerVision/08-TransferLearning/README.md)
+  - [Computer Vision - Autoencoders](../../../lessons/4-ComputerVision/09-Autoencoders/README.md)
+  - [Computer Vision - GANs](../../../lessons/4-ComputerVision/10-GANs/README.md)
+  - [Computer Vision - Segmentation](../../../lessons/4-ComputerVision/12-Segmentation/README.md)
+  - [NLP - Text Representation](../../../lessons/5-NLP/13-TextRep/README.md)
+  - [NLP - Embeddings](../../../lessons/5-NLP/14-Embeddings/README.md)
+  - [NLP - LanguageModeling](../../../lessons/5-NLP/15-LanguageModeling/README.md)
+  - [NLP - RNNs](../../../lessons/5-NLP/16-RNN/README.md)
+  - [NLP - Generative Networks](../../../lessons/5-NLP/17-GenerativeNetworks/README.md)
+  - [NLP - Transformers](../../../lessons/5-NLP/18-Transformers/README.md)
+  - [Other - Genetic Algorithms](../../../lessons/6-Other/21-GeneticAlgorithms/README.md)
+  - [Other - Multiagent Systems](../../../lessons/6-Other/23-MultiagentSystems/README.md)
+  - [Ethics](../../../lessons/7-Ethics/README.md)

etc/docsify/docsifytopdf.js → etc/docsify-to-pdf/docsifytopdf.js

@@ -1,6 +1,6 @@
 module.exports = {
-	contents: ['docs/_sidebar.md'], // array of "table of contents" files path
-	pathToPublic: 'pdf/readme.pdf', // path where pdf will stored
+	contents: ['etc/docsify-to-pdf/docs/_sidebar.md'], // array of "table of contents" files path
+	pathToPublic: 'etc/docsify-to-pdf/pdf/readme.pdf', // path where pdf will stored
 	pdfOptions: {
 		margin: { top: '100px', bottom: '100px' }
 	}, // reference: https://github.com/GoogleChrome/puppeteer/blob/master/docs/api.md#pagepdfoptions