diff --git a/courses/machine_learning/asl/open_project/ASL_youtube8m_models/frame/youtube_8m_frame_level.ipynb b/courses/machine_learning/asl/open_project/ASL_youtube8m_models/frame/youtube_8m_frame_level.ipynb
index c60026bc4b..19bb5e8228 100644
--- a/courses/machine_learning/asl/open_project/ASL_youtube8m_models/frame/youtube_8m_frame_level.ipynb
+++ b/courses/machine_learning/asl/open_project/ASL_youtube8m_models/frame/youtube_8m_frame_level.ipynb
@@ -1057,8 +1057,7 @@
     "OUTDIR=gs://$BUCKET/youtube_8m_frame_level/trained_model\n",
     "JOBNAME=job_youtube_8m_frame_level$(date -u +%y%m%d_%H%M%S)\n",
     "echo $OUTDIR $REGION $JOBNAME\n",
-    "gsutil -m rm -rf $OUTDIR\n",
-    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
+    "gcloud storage rm --recursive --continue-on-error $OUTDIR\n",    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
     "  --region=$REGION \\\n",
     "  --module-name=trainer.task \\\n",
     "  --package-path=$PWD/trainer \\\n",
@@ -1156,8 +1155,7 @@
     "OUTDIR=gs://$BUCKET/youtube_8m_frame_level/hyperparam\n",
     "JOBNAME=job_youtube_8m_frame_level$(date -u +%y%m%d_%H%M%S)\n",
     "echo $OUTDIR $REGION $JOBNAME\n",
-    "gsutil -m rm -rf $OUTDIR\n",
-    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
+    "gcloud storage rm --recursive --continue-on-error $OUTDIR\n",    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
     "  --region=$REGION \\\n",
     "  --module-name=trainer.task \\\n",
     "  --package-path=$PWD/trainer \\\n",
@@ -1215,8 +1213,7 @@
     "%bash\n",
     "MODEL_NAME=\"youtube_8m_frame_level\"\n",
     "MODEL_VERSION=\"v1\"\n",
-    "MODEL_LOCATION=$(gsutil ls gs://$BUCKET/youtube_8m_frame_level/trained_model/export/exporter/ | tail -1)\n",
-    "echo \"Deleting and deploying $MODEL_NAME $MODEL_VERSION from $MODEL_LOCATION ... this will take a few minutes\"\n",
+    "MODEL_LOCATION=$(gcloud storage ls gs://$BUCKET/youtube_8m_frame_level/trained_model/export/exporter/ | tail -1)\n",    "echo \"Deleting and deploying $MODEL_NAME $MODEL_VERSION from $MODEL_LOCATION ... this will take a few minutes\"\n",
     "#gcloud ml-engine versions delete ${MODEL_VERSION} --model ${MODEL_NAME}\n",
     "#gcloud ml-engine models delete ${MODEL_NAME}\n",
     "gcloud ml-engine models create $MODEL_NAME --regions $REGION\n",
diff --git a/courses/machine_learning/asl/open_project/ASL_youtube8m_models/video/youtube_8m_video_level.ipynb b/courses/machine_learning/asl/open_project/ASL_youtube8m_models/video/youtube_8m_video_level.ipynb
index 8fb73d0a56..5fefbef87f 100644
--- a/courses/machine_learning/asl/open_project/ASL_youtube8m_models/video/youtube_8m_video_level.ipynb
+++ b/courses/machine_learning/asl/open_project/ASL_youtube8m_models/video/youtube_8m_video_level.ipynb
@@ -749,8 +749,7 @@
     "OUTDIR=gs://$BUCKET/youtube_8m_video_level/trained_model\n",
     "JOBNAME=job_youtube_8m_video_level$(date -u +%y%m%d_%H%M%S)\n",
     "echo $OUTDIR $REGION $JOBNAME\n",
-    "gsutil -m rm -rf $OUTDIR\n",
-    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
+    "gcloud storage rm --recursive --continue-on-error $OUTDIR\n",    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
     "  --region=$REGION \\\n",
     "  --module-name=trainer.task \\\n",
     "  --package-path=$PWD/trainer \\\n",
@@ -855,8 +854,7 @@
     "OUTDIR=gs://$BUCKET/youtube_8m_video_level/hyperparam\n",
     "JOBNAME=job_youtube_8m_video_level$(date -u +%y%m%d_%H%M%S)\n",
     "echo $OUTDIR $REGION $JOBNAME\n",
-    "gsutil -m rm -rf $OUTDIR\n",
-    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
+    "gcloud storage rm --recursive --continue-on-error $OUTDIR\n",    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
     "  --region=$REGION \\\n",
     "  --module-name=trainer.task \\\n",
     "  --package-path=$PWD/trainer \\\n",
@@ -914,8 +912,7 @@
     "%bash\n",
     "MODEL_NAME=\"youtube_8m_video_level\"\n",
     "MODEL_VERSION=\"v1\"\n",
-    "MODEL_LOCATION=$(gsutil ls gs://$BUCKET/youtube_8m_video_level/trained_model/export/exporter/ | tail -1)\n",
-    "echo \"Deleting and deploying $MODEL_NAME $MODEL_VERSION from $MODEL_LOCATION ... this will take a few minutes\"\n",
+    "MODEL_LOCATION=$(gcloud storage ls gs://$BUCKET/youtube_8m_video_level/trained_model/export/exporter/ | tail -1)\n",    "echo \"Deleting and deploying $MODEL_NAME $MODEL_VERSION from $MODEL_LOCATION ... this will take a few minutes\"\n",
     "#gcloud ml-engine versions delete ${MODEL_VERSION} --model ${MODEL_NAME}\n",
     "#gcloud ml-engine models delete ${MODEL_NAME}\n",
     "gcloud ml-engine models create $MODEL_NAME --regions $REGION\n",
diff --git a/courses/machine_learning/asl/open_project/ASL_youtube8m_models/video_using_datasets/youtube_8m_video_level_datasets.ipynb b/courses/machine_learning/asl/open_project/ASL_youtube8m_models/video_using_datasets/youtube_8m_video_level_datasets.ipynb
index 25647b057c..e7312d90e3 100644
--- a/courses/machine_learning/asl/open_project/ASL_youtube8m_models/video_using_datasets/youtube_8m_video_level_datasets.ipynb
+++ b/courses/machine_learning/asl/open_project/ASL_youtube8m_models/video_using_datasets/youtube_8m_video_level_datasets.ipynb
@@ -3783,8 +3783,7 @@
     "OUTDIR=gs://$BUCKET/youtube_8m_video_level_datasets/trained_model\n",
     "JOBNAME=job_youtube_8m_video_level_datasets$(date -u +%y%m%d_%H%M%S)\n",
     "echo $OUTDIR $REGION $JOBNAME\n",
-    "gsutil -m rm -rf $OUTDIR\n",
-    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
+    "gcloud storage rm --recursive --continue-on-error $OUTDIR\n",    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
     "  --region=$REGION \\\n",
     "  --module-name=trainer.task \\\n",
     "  --package-path=$PWD/trainer \\\n",
@@ -3882,8 +3881,7 @@
     "OUTDIR=gs://$BUCKET/youtube_8m_video_level_datasets/hyperparam\n",
     "JOBNAME=job_youtube_8m_video_level_datasets$(date -u +%y%m%d_%H%M%S)\n",
     "echo $OUTDIR $REGION $JOBNAME\n",
-    "gsutil -m rm -rf $OUTDIR\n",
-    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
+    "gcloud storage rm --recursive --continue-on-error $OUTDIR\n",    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
     "  --region=$REGION \\\n",
     "  --module-name=trainer.task \\\n",
     "  --package-path=$PWD/trainer \\\n",
@@ -3941,8 +3939,7 @@
     "%bash\n",
     "MODEL_NAME=\"youtube_8m_video_level_datasets\"\n",
     "MODEL_VERSION=\"v1\"\n",
-    "MODEL_LOCATION=$(gsutil ls gs://$BUCKET/youtube_8m_video_level_datasets/trained_model/export/exporter/ | tail -1)\n",
-    "echo \"Deleting and deploying $MODEL_NAME $MODEL_VERSION from $MODEL_LOCATION ... this will take a few minutes\"\n",
+    "MODEL_LOCATION=$(gcloud storage ls gs://$BUCKET/youtube_8m_video_level_datasets/trained_model/export/exporter/ | tail -1)\n",    "echo \"Deleting and deploying $MODEL_NAME $MODEL_VERSION from $MODEL_LOCATION ... this will take a few minutes\"\n",
     "#gcloud ml-engine versions delete ${MODEL_VERSION} --model ${MODEL_NAME}\n",
     "#gcloud ml-engine models delete ${MODEL_NAME}\n",
     "gcloud ml-engine models create $MODEL_NAME --regions $REGION\n",
diff --git a/courses/machine_learning/asl/open_project/cloud_composer_automated_ml_pipeline_taxifare/airflow/dags/subdag/preprocess.py b/courses/machine_learning/asl/open_project/cloud_composer_automated_ml_pipeline_taxifare/airflow/dags/subdag/preprocess.py
index 30d5087ae9..887327a37c 100644
--- a/courses/machine_learning/asl/open_project/cloud_composer_automated_ml_pipeline_taxifare/airflow/dags/subdag/preprocess.py
+++ b/courses/machine_learning/asl/open_project/cloud_composer_automated_ml_pipeline_taxifare/airflow/dags/subdag/preprocess.py
@@ -98,7 +98,7 @@ def preprocess_tasks(model, parent_dag_name, child_dag_name, default_args, PROJE
   # BigQuery training data export to GCS
   bash_remove_old_data_op = BashOperator(
     task_id="bash_remove_old_data_{}_task".format(model.replace(".","_")),
-    bash_command="if gsutil ls {0}/taxifare/data/{1} 2> /dev/null; then gsutil -m rm -rf {0}/taxifare/data/{1}/*; else true; fi".format(BUCKET, model.replace(".","_")),
+    bash_command="if gcloud storage ls {0}/taxifare/data/{1} 2> /dev/null; then gcloud storage rm --recursive --continue-on-error {0}/taxifare/data/{1}/*; else true; fi".format(BUCKET, model.replace(".","_")),
     dag=dag
   )
 
diff --git a/courses/machine_learning/asl/open_project/cloud_composer_automated_ml_pipeline_taxifare/airflow/dags/subdag/training.py b/courses/machine_learning/asl/open_project/cloud_composer_automated_ml_pipeline_taxifare/airflow/dags/subdag/training.py
index ba8e0a0ba9..7b0ab9131e 100644
--- a/courses/machine_learning/asl/open_project/cloud_composer_automated_ml_pipeline_taxifare/airflow/dags/subdag/training.py
+++ b/courses/machine_learning/asl/open_project/cloud_composer_automated_ml_pipeline_taxifare/airflow/dags/subdag/training.py
@@ -55,13 +55,13 @@ def training_tasks(model, parent_dag_name, child_dag_name, default_args, PROJECT
 
   bash_remove_old_saved_model_op = BashOperator(
     task_id="bash_remove_old_saved_model_{}_task".format(model.replace(".","_")),
-    bash_command="if gsutil ls {0} 2> /dev/null; then gsutil -m rm -rf {0}/*; else true; fi".format(MODEL_LOCATION + model.replace(".","_")),
+    bash_command="if gcloud storage ls {0} 2> /dev/null; then gcloud storage rm --recursive --continue-on-error {0}/*; else true; fi".format(MODEL_LOCATION + model.replace(".","_")),
     dag=dag
   )
 
   bash_copy_new_saved_model_op = BashOperator(
     task_id="bash_copy_new_saved_model_{}_task".format(model.replace(".","_")),
-    bash_command="gsutil -m rsync -d -r `gsutil ls {0}/export/exporter/ | tail -1` {1}".format(output_dir, MODEL_LOCATION + model.replace(".","_")),
+    bash_command="gcloud storage rsync --delete-unmatched-destination-objects --recursive `gcloud storage ls {0}/export/exporter/ | tail -1` {1}".format(output_dir, MODEL_LOCATION + model.replace(".","_")),
     dag=dag
   )
 
diff --git a/courses/machine_learning/feateng/asl_2.0_feat_eng-old.ipynb b/courses/machine_learning/feateng/asl_2.0_feat_eng-old.ipynb
index f003c5d2aa..9136e3a523 100644
--- a/courses/machine_learning/feateng/asl_2.0_feat_eng-old.ipynb
+++ b/courses/machine_learning/feateng/asl_2.0_feat_eng-old.ipynb
@@ -159,16 +159,16 @@
     "fi    \n",
     "    \n",
     "## Create GCS bucket if it doesn't exist already...\n",
-    "exists=$(gsutil ls -d | grep -w gs://${PROJECT}/)\n",
+    "exists=$(gcloud storage ls | grep -w gs://${PROJECT}/)\n",
     "\n",
     "if [ -n \"$exists\" ]; then\n",
     "   echo -e \"Bucket exists, let's not recreate it.\"\n",
     "    \n",
     "else\n",
     "   echo \"Creating a new GCS bucket.\"\n",
-    "   gsutil mb -l ${REGION} gs://${PROJECT}\n",
+    "   gcloud storage buckets create --location ${REGION} gs://${PROJECT}\n",
     "   echo \"\\nHere are your current buckets:\"\n",
-    "   gsutil ls\n",
+    "   gcloud storage ls\n",
     "fi"
    ]
   },
@@ -3961,4 +3961,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
\ No newline at end of file
diff --git a/courses/machine_learning/feateng/asl_2.0_feat_eng.ipynb b/courses/machine_learning/feateng/asl_2.0_feat_eng.ipynb
index f003c5d2aa..8a1eaf6a5c 100644
--- a/courses/machine_learning/feateng/asl_2.0_feat_eng.ipynb
+++ b/courses/machine_learning/feateng/asl_2.0_feat_eng.ipynb
@@ -159,17 +159,14 @@
     "fi    \n",
     "    \n",
     "## Create GCS bucket if it doesn't exist already...\n",
-    "exists=$(gsutil ls -d | grep -w gs://${PROJECT}/)\n",
-    "\n",
+    "exists=$(gcloud storage ls | grep -w gs://${PROJECT}/)\n",    "\n",
     "if [ -n \"$exists\" ]; then\n",
     "   echo -e \"Bucket exists, let's not recreate it.\"\n",
     "    \n",
     "else\n",
     "   echo \"Creating a new GCS bucket.\"\n",
-    "   gsutil mb -l ${REGION} gs://${PROJECT}\n",
-    "   echo \"\\nHere are your current buckets:\"\n",
-    "   gsutil ls\n",
-    "fi"
+    "   gcloud storage buckets create --location ${REGION} gs://${PROJECT}\n",    "   echo \"\\nHere are your current buckets:\"\n",
+    "   gcloud storage ls\n",    "fi"
    ]
   },
   {
diff --git a/courses/machine_learning/feateng/feateng.ipynb b/courses/machine_learning/feateng/feateng.ipynb
index 075e93df26..a0fe308524 100644
--- a/courses/machine_learning/feateng/feateng.ipynb
+++ b/courses/machine_learning/feateng/feateng.ipynb
@@ -224,9 +224,7 @@
    "outputs": [],
    "source": [
     "%%bash\n",
-    "if gsutil ls | grep -q gs://${BUCKET}/taxifare/ch4/taxi_preproc/; then\n",
-    "  gsutil -m rm -rf gs://$BUCKET/taxifare/ch4/taxi_preproc/\n",
-    "fi"
+    "if gcloud storage ls | grep -q gs://${BUCKET}/taxifare/ch4/taxi_preproc/; then\n",    "  gcloud storage rm --recursive --continue-on-error gs://$BUCKET/taxifare/ch4/taxi_preproc/\n",    "fi"
    ]
   },
   {
@@ -346,8 +344,7 @@
    ],
    "source": [
     "%%bash\n",
-    "gsutil ls gs://$BUCKET/taxifare/ch4/taxi_preproc/"
-   ]
+    "gcloud storage ls gs://$BUCKET/taxifare/ch4/taxi_preproc/"   ]
   },
   {
    "cell_type": "markdown",
@@ -370,9 +367,7 @@
    "outputs": [],
    "source": [
     "%%bash\n",
-    "if gsutil ls | grep -q gs://${BUCKET}/taxifare/ch4/taxi_preproc/; then\n",
-    "  gsutil -m rm -rf gs://$BUCKET/taxifare/ch4/taxi_preproc/\n",
-    "fi"
+    "if gcloud storage ls | grep -q gs://${BUCKET}/taxifare/ch4/taxi_preproc/; then\n",    "  gcloud storage rm --recursive --continue-on-error gs://$BUCKET/taxifare/ch4/taxi_preproc/\n",    "fi"
    ]
   },
   {
@@ -433,8 +428,7 @@
    ],
    "source": [
     "%%bash\n",
-    "gsutil ls -l gs://$BUCKET/taxifare/ch4/taxi_preproc/"
-   ]
+    "gcloud storage ls --long gs://$BUCKET/taxifare/ch4/taxi_preproc/"   ]
   },
   {
    "cell_type": "code",
@@ -462,8 +456,7 @@
    "source": [
     "%%bash\n",
     "#print first 10 lines of first shard of train.csv\n",
-    "gsutil cat \"gs://$BUCKET/taxifare/ch4/taxi_preproc/train.csv-00000-of-*\" | head"
-   ]
+    "gcloud storage cat \"gs://$BUCKET/taxifare/ch4/taxi_preproc/train.csv-00000-of-*\" | head"   ]
   },
   {
    "cell_type": "markdown",
@@ -485,9 +478,7 @@
     "  rm -rf sample\n",
     "fi\n",
     "mkdir sample\n",
-    "gsutil cat \"gs://$BUCKET/taxifare/ch4/taxi_preproc/train.csv-00000-of-*\" > sample/train.csv\n",
-    "gsutil cat \"gs://$BUCKET/taxifare/ch4/taxi_preproc/valid.csv-00000-of-*\" > sample/valid.csv"
-   ]
+    "gcloud storage cat \"gs://$BUCKET/taxifare/ch4/taxi_preproc/train.csv-00000-of-*\" > sample/train.csv\n",    "gcloud storage cat \"gs://$BUCKET/taxifare/ch4/taxi_preproc/valid.csv-00000-of-*\" > sample/valid.csv"   ]
   },
   {
    "cell_type": "markdown",
@@ -673,8 +664,7 @@
     "OUTDIR=gs://${BUCKET}/taxifare/ch4/taxi_trained\n",
     "JOBNAME=lab4a_$(date -u +%y%m%d_%H%M%S)\n",
     "echo $OUTDIR $REGION $JOBNAME\n",
-    "gsutil -m rm -rf $OUTDIR\n",
-    "gcloud ai-platform jobs submit training $JOBNAME \\\n",
+    "gcloud storage rm --recursive --continue-on-error $OUTDIR\n",    "gcloud ai-platform jobs submit training $JOBNAME \\\n",
     "  --region=$REGION \\\n",
     "  --module-name=trainer.task \\\n",
     "  --package-path=${PWD}/taxifare/trainer \\\n",
diff --git a/courses/machine_learning/feateng/hyperparam.ipynb b/courses/machine_learning/feateng/hyperparam.ipynb
index f33ccbf8ea..20420afd70 100644
--- a/courses/machine_learning/feateng/hyperparam.ipynb
+++ b/courses/machine_learning/feateng/hyperparam.ipynb
@@ -218,7 +218,7 @@
     "OUTDIR=gs://${BUCKET}/taxifare/ch4/taxi_trained\n",
     "JOBNAME=lab4a_$(date -u +%y%m%d_%H%M%S)\n",
     "echo $OUTDIR $REGION $JOBNAME\n",
-    "gsutil -m rm -rf $OUTDIR\n",
+    "gcloud storage rm --recursive --continue-on-error $OUTDIR\n",
     "gcloud ml-engine jobs submit training $JOBNAME \\\n",
     "   --region=$REGION \\\n",
     "   --module-name=trainer.task \\\n",
diff --git a/courses/machine_learning/feateng/tftransform.ipynb b/courses/machine_learning/feateng/tftransform.ipynb
index db9b8df5b5..d1049bcd75 100644
--- a/courses/machine_learning/feateng/tftransform.ipynb
+++ b/courses/machine_learning/feateng/tftransform.ipynb
@@ -96,8 +96,8 @@
    "outputs": [],
    "source": [
     "%%bash\n",
-    "if ! gsutil ls | grep -q gs://${BUCKET}/; then\n",
-    "  gsutil mb -l ${REGION} gs://${BUCKET}\n",
+    "if ! gcloud storage ls | grep -q gs://${BUCKET}/; then\n",
+    "  gcloud storage buckets create --location=${REGION} gs://${BUCKET}\n",
     "fi"
    ]
   },
@@ -265,7 +265,7 @@
     "    print 'Launching Dataflow job {} ... hang on'.format(job_name)\n",
     "    OUTPUT_DIR = 'gs://{0}/taxifare/preproc_tft/'.format(BUCKET)\n",
     "    import subprocess\n",
-    "    subprocess.call('gsutil rm -r {}'.format(OUTPUT_DIR).split())\n",
+    "    subprocess.call('gcloud storage rm --recursive {}'.format(OUTPUT_DIR).split())\n",
     "    EVERY_N = 10000\n",
     "    \n",
     "  options = {\n",
@@ -358,7 +358,7 @@
    "source": [
     "%%bash\n",
     "# ls preproc_tft\n",
-    "gsutil ls gs://${BUCKET}/taxifare/preproc_tft/"
+    "gcloud storage ls gs://${BUCKET}/taxifare/preproc_tft/"
    ]
   },
   {