diff --git a/CHANGELOG.md b/CHANGELOG.md
index a47a2faaaa..81a6981b8c 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,6 +13,8 @@ but cannot always guarantee backwards compatibility. Changes that may **break co
 
 **Fixed**
 
+- Fixed `examples/14-transfer-learning.ipynb` raising a NaN error on the `air` dataset: the `load_air()` helper now calls `fill_missing_values(..., fill="auto")` after `longest_contiguous_slice()` to handle residual gaps in the raw `carrier_passengers.csv`. Closes [#2752](https://github.com/unit8co/darts/issues/2752).
+
 **Dependencies**
 
 ### For developers of the library:
diff --git a/examples/14-transfer-learning.ipynb b/examples/14-transfer-learning.ipynb
index 579e6a5521..089e9e5bec 100644
--- a/examples/14-transfer-learning.ipynb
+++ b/examples/14-transfer-learning.ipynb
@@ -130,7 +130,8 @@
     "    RandomForestModel,\n",
     "    Theta,\n",
     ")\n",
-    "from darts.utils.losses import SmapeLoss"
+    "from darts.utils.losses import SmapeLoss\n",
+    "from darts.utils.missing_values import fill_missing_values"
    ]
   },
   {
@@ -244,6 +245,11 @@
     "            series = series.longest_contiguous_slice()\n",
     "        except Exception:\n",
     "            continue\n",
+    "        # Fill any residual missing values inside the chosen slice. The raw\n",
+    "        # carrier_passengers.csv occasionally has gaps that survive the\n",
+    "        # longest_contiguous_slice() call (e.g. zero-rows), which produce NaNs\n",
+    "        # downstream and break model training. See issue #2752.\n",
+    "        series = fill_missing_values(series, fill=\"auto\")\n",
     "        # remove static covariates\n",
     "        series = series.with_static_covariates(None)\n",
     "        # remove short series\n",