diff --git a/chapters/en/Unit 0 - Welcome/TableOfContents.mdx b/chapters/en/Unit 0 - Welcome/TableOfContents.mdx
new file mode 100644
index 000000000..a51f28d19
--- /dev/null
+++ b/chapters/en/Unit 0 - Welcome/TableOfContents.mdx	
@@ -0,0 +1,60 @@
+# Table of Contents for Notebooks
+
+Welcome to the Community Computer Vision Course! 🤗
+Join us as we delve into the fundamentals and recent developments in computer vision.
+Our goal is to offer a beginner-friendly resource.
+Let's dive into the chapters for a wealth of knowledge!
+
+
+| Chapter Title                                          | Notebooks                                                | Colabs   |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 0 - Welcome                                       | No Notebook                                              | No Colab |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 1 - Fundamentals                                  | No Notebook                                              | No Colab |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 2 - Convolutional Neural Networks                 | [Transfer Learning with VGG19](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%202%20-%20Convolutional%20Neural%20Networks/transfer_learning_vgg19.ipynb) | [Transfer Learning with VGG](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%202%20-%20Convolutional%20Neural%20Networks/transfer_learning_vgg19.ipynb)     |
+|                                                        | [Using ResNet with timm](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%202%20-%20Convolutional%20Neural%20Networks/timm_Resnet.ipynb) | [timm_Resnet](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%202%20-%20Convolutional%20Neural%20Networks/timm_Resnet.ipynb)     |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 3 - Vision Transformers                           | [Detection Transformer (DETR)](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/DETR.ipynb) | [Detection Transformer (DETR)](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/DETR.ipynb)    |
+|                                                        | [Fine-tuning Vision Transformers for Object Detection](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/Fine-tuning%20Vision%20Transformers%20for%20Object%20detection.ipynb)                 | [Fine-tuning Vision Transformers for Object Detection](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/Fine-tuning%20Vision%20Transformers%20for%20Object%20detection.ipynb)    |
+|                                                        | [Knowledge Distillation](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/KnowledgeDistillation.ipynb)                              | [Knowledge Distillation](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/KnowledgeDistillation.ipynb)    |
+|                                                        | [LoRA Fine-tuning for Image Classification](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/LoRA-Image-Classification.ipynb)                          | [LoRA Fine-tuning for Image Classification](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/LoRA-Image-Classification.ipynb)    |
+|                                                        | [Fine-tuning for Multilabel Image Classification](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/fine-tuning-multilabel-image-classification.ipynb)                   | [Fine-tuning for Multilabel Image Classification](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/fine-tuning-multilabel-image-classification.ipynb)    |
+|                                                        | [Transfer Learning for Image Classification](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/transfer-learning-image-classification.ipynb)                  | [Transfer Learning for Image Classification](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/transfer-learning-image-classification.ipynb)    |
+|                                                        | [Transfer Learning for Image Segmentation](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/transfer-learning-segmentation.ipynb)                    | [Transfer Learning for Image Segmentation](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/transfer-learning-segmentation.ipynb)    |
+|                                                        | [Swin Transformer](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/Swin.ipynb)                                              | [Swin Transformer](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%203%20-%20Vision%20Transformers/Swin.ipynb)    |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 4 - Multimodal Models                             | [Clip Crop](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/ClipCrop.ipynb)                                          | [Clip Crop](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/ClipCrop.ipynb)    |
+|                                                        | [Fine-tuning CLIP](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/Clip_finetune.ipynb)                                     | [Fine-tuning CLIP](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/Clip_finetune.ipynb)    |
+|                                                        | [Clustering with CLIP](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/CLIP%20and%20relatives/Clustering%20with%20CLIP.ipynb)                              | [Clustering with CLIP](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/CLIP%20and%20relatives/Clustering%20with%20CLIP.ipynb)    |
+|                                                        | [Image Classification with CLIP](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/CLIP%20and%20relatives/Image%20classification%20with%20CLIP.ipynb)                   | [Image Classification with CLIP](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/CLIP%20and%20relatives/Image%20classification%20with%20CLIP.ipynb)    |
+|                                                        | [Image Retrieval with Prompts](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/CLIP%20and%20relatives/Image_retrieval_with_prompts.ipynb)                      | [Image Retrieval with Prompts](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/CLIP%20and%20relatives/Image_retrieval_with_prompts.ipynb)    |
+|                                                        | [Image Similarity](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/CLIP%20and%20relatives/Image_similarity.ipynb)                                  | [Image Similarity](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%204%20-%20Multimodal%20Models/CLIP%20and%20relatives/Image_similarity.ipynb)    |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 5 - Generative Models                             | No Notebook                                              | No Colab |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 6 - Basic CV Tasks                                | [Fine-tune SAM on Custom Dataset](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%206%20-%20Basic%20CV%20Tasks/Fine_tune_SAM_(Segment_Anything_Model)_on_Custom_Dataset.ipynb)                   | [Fine-tune SAM on Custom Dataset](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%206%20-%20Basic%20CV%20Tasks/Fine_tune_SAM_(Segment_Anything_Model)_on_Custom_Dataset.ipynb)    |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 7 - Video and Video Processing                    | No Notebook                                              | No Colab |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 8 - 3D Vision, Scene Rendering, and Reconstruction| No Notebook                                              | No Colab |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 9 - Model Optimization                            | [Edge TPU](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/edge_tpu.ipynb) | [Edge TPU](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/edge_tpu.ipynb) |
+|													     | [ONNX](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/onnx.ipynb)         | [ONNX](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/onnx.ipynb)         |
+|													     | [OpenVINO](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/openvino.ipynb) | [OpenVINO](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/openvino.ipynb) |
+|													     | [Optimum](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/optimum.ipynb)   | [Optimum](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/optimum.ipynb)   |
+|													     | [TensorRT](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/tensorrt.ipynb) | [TensorRT](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/tensorrt.ipynb) |
+|													     | [TMO](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/tmo.ipynb)           | [TMO](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/tmo.ipynb)           |
+|													     | [Torch](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/torch.ipynb)       | [Torch](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%209%20-%20Model%20Optimization/torch.ipynb)       |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 10 - Synthetic Data Creation                      | [Dataset Labeling with OWLv2](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/OWLV2_labeled_image_dataset_with_annotations.ipynb)     | [Dataset Labeling with OWLv2](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/OWLV2_labeled_image_dataset_with_annotations.ipynb)    |
+|													     | [Generating Synthetic Lung Images](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/Synthetic_lung_images_hf_course.ipynb)                   | [Generating Synthetic Lung Images](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/Synthetic_lung_images_hf_course.ipynb)    |
+|													     | [BlenderProc Examples](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/blenderproc_examples.ipynb)                              | [BlenderProc Examples](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/blenderproc_examples.ipynb)    |
+|													     | [Image Labeling with BLIP-2](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/image_labeling_BLIP_2.ipynb)                            | [Image Labeling with BLIP-2](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/image_labeling_BLIP_2.ipynb)    |
+|													     | [Synthetic Data Creation with SDXL Turbo](https://github.com/johko/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/synthetic_data_creation_sdxl_turbo.ipynb)  |             [Synthetic Data Creation with SDXL Turbo](https://colab.research.google.com/github/fariddinar/computer-vision-course/blob/main/notebooks/Unit%2010%20-%20Synthetic%20Data%20Creation/synthetic_data_creation_sdxl_turbo.ipynb)    |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 11 - Zero Shot Computer Vision                    | No Notebook                                              | No Colab |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 12 - Ethics and Biases                            | No Notebook                                              | No Colab |
+|--------------------------------------------------------|----------------------------------------------------------|----------|
+| Unit 13 - Outlook                                      | No Notebook                                              | No Colab |
diff --git a/chapters/en/_toctree.yml b/chapters/en/_toctree.yml
index 73eaa3392..ae95abedc 100644
--- a/chapters/en/_toctree.yml
+++ b/chapters/en/_toctree.yml
@@ -2,6 +2,8 @@
   sections:
   - title: Welcome to the Community Computer Vision Course
     local: "Unit 0 - Welcome/welcome"
+  - title: Table of Contents for Notebooks
+    local: "Unit 0 - Welcome/TableOfContents"
 - title: Unit 1 - Fundamentals
   sections:
   - title: Vision