diff --git a/README.md b/README.md
index 44da984c..e4108ddb 100644
--- a/README.md
+++ b/README.md
@@ -60,11 +60,11 @@ For a gentle introduction to *AI in the Cloud* topics you may consider taking th
    <td><a href="lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md">Keras/TensorFlow</td>
    <td><a href="lessons/3-NeuralNetworks/05-Frameworks/lab/README.md">Lab</a></td></tr>
 <tr><td>IV</td><td><b><a href="lessons/4-ComputerVision/README.md">Computer Vision</a></b></td>
-  <td colspan="3"><a href="https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-57639-dmitryso">AI Fundamentals: Explore Computer Vision</a></td>
+  <td colspan="3"><a href="https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-57639-dmitryso"><i>AI Fundamentals: Explore Computer Vision</i></a></td>
   <td></td></tr>
-<tr><td></td><td colspan="2">Microsoft Learn Module on Computer Vision</td>
-  <td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-57639-dmitryso">PyTorch</a></td>
-  <td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-57639-dmitryso">TensorFlow</a></td>
+<tr><td></td><td colspan="2"><i>Microsoft Learn Module on Computer Vision</i></td>
+  <td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-57639-dmitryso"><i>PyTorch</i></a></td>
+  <td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-57639-dmitryso"><i>TensorFlow</i></a></td>
   <td></td></tr>
 <tr><td>6</td><td>Intro to Computer Vision. OpenCV</td><td><a href="lessons/4-ComputerVision/06-IntroCV/README.md">Text</a><td colspan="2"><a href="lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb">Notebook</a></td><td><a href="lessons/4-ComputerVision/06-IntroCV/lab/README.md">Lab</a></td></tr>
 <tr><td>7</td><td>Convolutional Neural Networks<br/>CNN Architectures</td><td><a href="lessons/4-ComputerVision/07-ConvNets/README.md">Text</a><br/><a href="lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md">Text</a></td><td><a href="lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb">TensorFlow</a></td><td><a href="lessons/4-ComputerVision/07-ConvNets/lab/README.md">Lab</a></td></tr>
@@ -74,11 +74,11 @@ For a gentle introduction to *AI in the Cloud* topics you may consider taking th
 <tr><td>11</td><td>Object Detection</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/README.md">Text</a></td><td>PyTorch</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection-TF.ipynb">TensorFlow</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/lab/README.md">Lab</a></td></tr>
 <tr><td>12</td><td>Semantic Segmentation. U-Net</td><td><a href="lessons/4-ComputerVision/12-Segmentation/README.md">Text</a></td><td><a href="lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb">PyTorch</td><td><a href="lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb">TensorFlow</td><td></td></tr>
 <tr><td>V</td><td><b><a href="lessons/5-NLP/README.md">Natural Language Processing</a></b></td>
-   <td colspan="3"><a href="https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-57639-dmitryso">AI Fundamentals: Explore Natural Language Processing</a></td>
+   <td colspan="3"><a href="https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-57639-dmitryso"><i>AI Fundamentals: Explore Natural Language Processing</i></a></td>
    <td></td></tr>
-<tr><td></td><td colspan="2">Microsoft Learn Module on Natural Language</td>
-   <td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-57639-dmitryso">PyTorch</a></td>
-   <td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-57639-dmitryso">TensorFlow</a></td>
+<tr><td></td><td colspan="2"><i>Microsoft Learn Module on Natural Language</i></td>
+   <td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-57639-dmitryso"><i>PyTorch</i></a></td>
+   <td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-57639-dmitryso"><i>TensorFlow</i></a></td>
    <td></td></tr>
 <tr><td>13</td><td>Text Representation. Bow/TF-IDF</td><td><a href="lessons/5-NLP/13-TextRep/README.md">Text</a></td><td><a href="lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb">TensorFlow</td><td></td></tr>
 <tr><td>14</td><td>Semantic word embeddings. Word2Vec and GloVe</td><td><a href="lessons/5-NLP/14-Embeddings/README.md">Text</td><td><a href="lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb">TensorFlow</a></td><td></td></tr>
@@ -93,7 +93,7 @@ For a gentle introduction to *AI in the Cloud* topics you may consider taking th
 <tr><td>22</td><td>Deep Reinforcement Learning</td><td><a href="lessons/6-Other/22-DeepRL/README.md">Text</a></td><td></td><td><a href="lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb">TensorFlow</td><td><a href="lessons/6-Other/22-DeepRL/lab/README.md">Lab</a></td></tr>
 <tr><td>23</td><td>Multi-Agent Systems</td><td><a href="lessons/6-Other/23-MultiagentSystems/README.md">Text</a></td><td></td><td></td><td></td></tr>
 <tr><td>VII</td><td colspan="4"><b>AI Ethics</b></td><td></td></tr>
-<tr><td>24</td><td>AI Ethics and Responsible AI</td><td><a href="lessons/7-Ethics/README.md">Text</a></td><td></td><td></td><td></td></tr>
+<tr><td>24</td><td>AI Ethics and Responsible AI</td><td><a href="lessons/7-Ethics/README.md">Text</a></td><td colspan="2"><a href="https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-57639-dmitryso"><i>MS Learn: Responsible AI Principles</i></a></td><td></td></tr>
 <tr><td></td><td colspan="4"><b>Extras</b></td><td></td></tr>
 <tr><td>X1</td><td>Multi-Modal Networks, CLIP and VQGAN</td><td><a href="lessons/X-Extras/X1-MultiModal/README.md">Text</a></td><td colspan="2"><a href="lessons/X-Extras/X1-MultiModal/Clip.ipynb">Notebook</a></td><td></td></tr>
 </table>
diff --git a/etc/Mindmap.html b/etc/Mindmap.html
index c6cb35ac..616bce4f 100644
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diff --git a/etc/Mindmap.md b/etc/Mindmap.md
index b188841e..3aca9761 100644
--- a/etc/Mindmap.md
+++ b/etc/Mindmap.md
@@ -1,13 +1,20 @@
 # AI
 
-## Introduction to AI
- - [AI Definition](https://github.com/microsoft/AI-For-Beginners/blob/main/1-Intro/README.md#different-approaches-to-ai)
- - [History of AI](https://github.com/microsoft/AI-For-Beginners/blob/main/1-Intro/README.md#different-approaches-to-ai)
- - [Approaches to AI](https://github.com/microsoft/AI-For-Beginners/blob/main/1-Intro/README.md#different-approaches-to-ai)
+## [Introduction to AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md)
+ - AI Definition
+ - History of AI
+ - Approaches to AI
+     - Top-down/Symbolic
+     - Bottom-up/Neural
+     - Evolutionary
+     - Synergetic / Emergent AI
+ - [Microsoft AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-57639-dmitryso)
 
-## Sybmbolic AI
+## [Sybmbolic AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
  - Knowledge Representation
- - Expert Systems
+ - [Expert Systems](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb)
+ - [Ontologies](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb)
+ - Semantic Web
 
 ## [Neural Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/README.md)
  - [Perceptron](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/03-Perceptron/README.md)
@@ -18,17 +25,26 @@
    - [Overfitting](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/05-Frameworks/Overfitting.md)
 
 ## [Computer Vision](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/README.md)
- - Intro to CV. OpenCV
+ - On MS Learn
+    - [AI Fundamentals: Explore Computer Vision](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-57639-dmitryso)
+    - [CV with PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-57639-dmitryso)
+    - [CV with TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-57639-dmitryso)
+ - [Intro to CV. OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
  - [Convolutional Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/07-ConvNets/README.md)
-   - [Architectures](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
+   - [CNN Architectures](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
  - [Trasnsfer Learning](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/08-TransferLearning/README.md)
    - [Training Tricks](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/08-TransferLearning/TrainingTricks.md)
  - [Autoencoders and VAEs](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/09-Autoencoders/README.md)
  - [Generative Adversarial Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/10-GANs/README.md)
- - Object Detection
- - Segmentation
+ - [Style Transfer](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb)
+ - [Object Detection](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md)
+ - [Segmentation](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md)
  
 ## [Natural Language Processing](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/README.md)
+ - On MS Learn
+    - [AI Fundamentals: Explore NLP](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-57639-dmitryso)
+    - [NLP with PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-57639-dmitryso)
+    - [NLP with TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-57639-dmitryso)
  - [Text Representation](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/13-TextRep/README.md)
     - Bag of Words
     - TF/IDF
@@ -41,16 +57,17 @@
      - GRU
  - [Generative Recurrent Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/17-GenerativeNetworks/README.md)
  - [Transformers and BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/18-Transformers/README.md)
- - Named Entity Recognition
- - Text Generation and GPT
+ - [Named Entity Recognition](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md)
+ - [Text Generation and GPT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LanguageModels/README.md)
 ## Other Techniques
  - [Genetic Algorithms](https://github.com/microsoft/AI-For-Beginners/blob/main/6-Other/21-GeneticAlgorithms/README.md)
- - Deep Reinforcement Learning
+ - [Deep Reinforcement Learning](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
  - [Multi-Agent Systems](https://github.com/microsoft/AI-For-Beginners/blob/main/6-Other/23-MultiagentSystems/README.md)
 
 ## [AI Ethics](https://github.com/microsoft/AI-For-Beginners/blob/main/7-Ethics/README.md)
+ - [MS Learn on Responsible AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-57639-dmitryso)
 ## Extras
- - Multimodal Networks
-   - CLIP
+ - [Multimodal Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/README.md)
+   - [CLIP](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb)
    - DALL-E
    - VQ-GAN
\ No newline at end of file
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