diff --git a/_toc.yml b/_toc.yml
index f2fe7c1f9c4cf410885480bd5b83494b754ded30..eb23571f8f91150171267ea8d387fa39d9e19958 100644
--- a/_toc.yml
+++ b/_toc.yml
@@ -2,22 +2,5 @@ format: jb-book
 root: index.md
 title: Welcome
 parts:
-- caption: Multivariate models for the analysis of heterogeneous information
-  chapters:
-  - file: heterogeneous_data/introduction.md
-  - file: heterogeneous_data/heterogeneous_data.ipynb
-    title: Multivariate association models for the analysis of heterogeneous data
-- caption: Federated Learning
-  chapters:
-  - file: federated_learning/introduction.md
-  - file: federated_learning/FedAvg_FedProx_MNIST_iid_and_noniid.ipynb
-    title: FedAVG and FedProx
-  - file: federated_learning/federated_mcvae.ipynb
-    title: Federated VAEs
-  - file: federated_learning/mcvae_rotated_mnist.ipynb
-    title: Federated Multi-channel VAEs on MNIST
-  - file: federated_learning/federated_mcvae_adni.ipynb
-    title: Federated Multi-channel VAEs on biomedical data
-- caption: About
-  chapters:
-  - file: contributors.md
+- caption: Fed-BioMed tutorial
+  - file: fedbiomed-tutorial/aws-instructions.md 
diff --git a/fedbiomed-tutorial/aws-instructions.md b/fedbiomed-tutorial/aws-instructions.md
new file mode 100644
index 0000000000000000000000000000000000000000..2049251f247ffdc0f0c64e67e2b9f591b7f2b9ae
--- /dev/null
+++ b/fedbiomed-tutorial/aws-instructions.md
@@ -0,0 +1,22 @@
+# Instructions for the tutorial
+
+Fed-BioMed is an open-source research and development initiative for translating federated learning into real-world medical applications.
+The community of Fed-BioMed gathers experts in medical engineering, machine learning, communication, and security.
+We all contribute to provide an open, user-friendly, and trusted framework for deploying the state-of-the-art of federated learning in sensitive environments, such as in hospitals and health data lakes. 
+
+Check out our [fedbiomed.org](https://fedbiomed.org) for the latest documentation and news!
+
+## Using Fed-BioMed during the workshop
+
+We provide a ready-to-use Jupyterhub instance running on AWS for you. 
+To use it, check the table below and copy the url associated with your username in a browser.
+
+| user | address |
+| ---  | ---     |
+| francesco | http://0.0.0.0 | 
+
+You may log in with the password provided to you by the workshop presenters.
+
+If you wish, you may also [install](https://fedbiomed.org/latest/tutorials/installation/0-basic-software-installation/) Fed-BioMed locally on your machine, however it is quite a long process and we can only provide limited support during today's workshop.
+
+