diff --git a/README.md b/README.md
index bdce397..ea14a75 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ To get the most out of ART, you should have a basic knowledge of (or eagerness t
 - PyTorch Lightning: https://lightning.ai/docs/pytorch/stable/levels/core_skills.html
 
 **Table of contents:**
-- [ART - Actually Robust Training framework](#art---actually-robust-training-framework)
+- [ART - Actually Robust Training Framework](#art---actually-robust-training-framework)
   - [Installation](#installation)
   - [Quickstart](#quickstart)
   - [Project creation](#project-creation)
@@ -143,13 +143,17 @@ After running all cells run the dashboard with:
 ```sh
 python -m art.cli run-dashboard
 ```
+2. Second showcase tutorial on how to use ART for transfer learning in CV classification task.
+```sh
+python -m art.cli cv-transfer-learning-tutorial
+```
 
-2. A tutorial showing how to use ART for transfer learning in an NLP task.
+3. A tutorial showing how to use ART for transfer learning in an NLP task.
 ```sh
 python -m art.cli bert-transfer-learning-tutorial
-
 ```
-3. A tutorial showing how to use ART for regularization
+
+4. A tutorial showing how to use ART for regularization
 ```sh
 python -m art.cli regularization_tutorial
 ```
diff --git a/art/cli/main.py b/art/cli/main.py
index fe028b5..ade676f 100644
--- a/art/cli/main.py
+++ b/art/cli/main.py
@@ -105,6 +105,14 @@ def regularization_tutorial():
         branch="regularize_tutorial",
     )
 
+@app.command()
+def cv_transfer_learning_tutorial():
+    """Creates a cv transfer learning tutorial."""
+    create_project(
+        project_name="cv_transfer_learning_tutorial",
+        branch="cv_transfer_learning_tutorial",
+    )
+
 
 if __name__ == "__main__":
     app()