diff --git a/2-1_Experiment_Tracking.ipynb b/2-1_Experiment_Tracking.ipynb
index 821b23e..b1c40d8 100644
--- a/2-1_Experiment_Tracking.ipynb
+++ b/2-1_Experiment_Tracking.ipynb
@@ -296,7 +296,7 @@
    "source": [
     "from zenml.post_execution import get_unlisted_runs\n",
     "\n",
-    "pipeline_run = get_unlisted_runs()[-1]\n",
+    "pipeline_run = get_unlisted_runs()[0]\n",
     "step = pipeline_run.get_step(\"trainer\")\n",
     "experiment_tracker_url = step.metadata[\"experiment_tracker_url\"].value\n",
     "\n",
@@ -436,7 +436,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "trainer_step = get_unlisted_runs()[-1].get_step(\"trainer\")\n",
+    "trainer_step = get_unlisted_runs()[0].get_step(\"trainer\")\n",
     "experiment_tracker_url = trainer_step.metadata[\"experiment_tracker_url\"].value\n",
     "print(experiment_tracker_url)"
    ]
diff --git a/2-2_Local_Deployment.ipynb b/2-2_Local_Deployment.ipynb
index 5b14d8b..0fb3209 100644
--- a/2-2_Local_Deployment.ipynb
+++ b/2-2_Local_Deployment.ipynb
@@ -196,7 +196,7 @@
    "source": [
     "from zenml.post_execution import get_unlisted_runs\n",
     "\n",
-    "last_run = get_unlisted_runs()[-1]\n",
+    "last_run = get_unlisted_runs()[0]\n",
     "deployer_step = last_run.get_step(\"model_deployer\")\n",
     "deployed_model_url = deployer_step.metadata[\"deployed_model_url\"].value\n",
     "print(deployed_model_url)"
@@ -222,7 +222,7 @@
     "model_deployer = client.active_stack.model_deployer\n",
     "services = model_deployer.find_model_server(\n",
     "    pipeline_name=\"train_evaluate_deploy_pipeline\",\n",
-    "    pipeline_step_name=\"mlflow_model_deployer_step\",\n",
+    "    pipeline_step_name=\"model_deployer\",\n",
     "    running=True,\n",
     ")\n",
     "service = services[0]\n",
@@ -244,7 +244,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "last_run = get_unlisted_runs()[-1]\n",
+    "last_run = get_unlisted_runs()[0]\n",
     "X_test = last_run.steps[0].outputs[\"X_test\"].read()\n",
     "y_test = last_run.steps[0].outputs[\"y_test\"].read()"
    ]
@@ -294,7 +294,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.0"
+   "version": "3.8.10"
   },
   "vscode": {
    "interpreter": {
diff --git a/2-3_Inference_Pipelines.ipynb b/2-3_Inference_Pipelines.ipynb
index 7564ebc..a7f135a 100644
--- a/2-3_Inference_Pipelines.ipynb
+++ b/2-3_Inference_Pipelines.ipynb
@@ -175,7 +175,7 @@
     "    model_deployer = client.active_stack.model_deployer\n",
     "    services = model_deployer.find_model_server(\n",
     "        pipeline_name=\"train_evaluate_deploy_pipeline\",\n",
-    "        pipeline_step_name=\"mlflow_model_deployer_step\",\n",
+    "        pipeline_step_name=\"model_deployer\",\n",
     "        running=True,\n",
     "    )\n",
     "    service = services[0]\n",
@@ -257,7 +257,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.8.10"
   },
   "vscode": {
    "interpreter": {
diff --git a/3-1_Data_Skew.ipynb b/3-1_Data_Skew.ipynb
index 6a8752e..a9c6a6b 100644
--- a/3-1_Data_Skew.ipynb
+++ b/3-1_Data_Skew.ipynb
@@ -232,7 +232,7 @@
     "from zenml.integrations.evidently.visualizers import EvidentlyVisualizer\n",
     "from zenml.post_execution import get_unlisted_runs\n",
     "\n",
-    "last_run = get_unlisted_runs()[-1]\n",
+    "last_run = get_unlisted_runs()[0]\n",
     "\n",
     "skew_detection_step = last_run.get_step(step=\"skew_detector\")\n",
     "evidently_outputs = skew_detection_step\n",
diff --git a/pyproject.toml b/pyproject.toml
index 88b6034..fcb0c80 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,7 +10,7 @@ license = "Apache-2.0"
 
 [tool.poetry.dependencies]
 python = ">=3.7.1,<3.9"
-zenml = "0.20.0rc1"
+zenml = "0.35.1"
 notebook = "*"
 
 [tool.poetry.dev-dependencies]