diff --git a/docs/concepts.md b/docs/concepts.md
index d1485a5b6..2c1f3ed85 100644
--- a/docs/concepts.md
+++ b/docs/concepts.md
@@ -85,6 +85,14 @@ A *quantum neural network* (QNN) is used to describe a parameterized quantum
 computational model that is best executed on a quantum computer. This term is
 often interchangeable with *parameterized quantum circuit* (PQC).
 
+#### Saving models
+
+Note: `model.save()` does not work for TensorFlow Quantum models containing
+custom quantum layers, because full model serialization requires the layer
+to be reconstructable without the original Python code. Instead, use
+`model.save_weights()` to save the trained parameters, then rebuild the model
+architecture in Python and restore them with `model.load_weights()`.
+
 
 ## Research
 
diff --git a/scripts/ci_validate_tutorials.sh b/scripts/ci_validate_tutorials.sh
index 247ba899b..feff4c798 100755
--- a/scripts/ci_validate_tutorials.sh
+++ b/scripts/ci_validate_tutorials.sh
@@ -32,6 +32,9 @@ pip install gymnasium[classic-control]==1.2.3
 pip install seaborn==0.12.0
 # tf_docs pip package needed for noise tutorial.
 pip install -q git+https://github.com/tensorflow/docs
+# pydot and graphviz needed for tf.keras.utils.plot_model in tutorials
+pip install pydot
+sudo apt-get install -y graphviz
 # Leave the quantum directory, otherwise errors may occur
 cd ..