diff --git a/tools/ml/Makefile b/tools/ml/Makefile
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+++ b/tools/ml/Makefile
@@ -0,0 +1,222 @@
+# Copyright 2019 The Chromium Authors. All rights reserved.
+# Use of this source code is governed by a BSD-style license that can be
+# found in the LICENSE file.
+# Or at https://developers.google.com/open-source/licenses/bsd
+
+# Use 'make help' for a list of commands.
+
+OUTPUT_DIR := /tmp/monospam-local-training/
+TIMESTAMP := $(shell date +%s)
+MODEL_DIR := /tmp/monospam-local-training/export/Servo/{TIMESTAMP}/
+SPAM_JOB_NAME := spam_trainer_$(TIMESTAMP)
+COMP_JOB_NAME := comp_trainer_$(TIMESTAMP)
+
+default: help
+
+help:
+	@echo "Available commands:"
+	@sed -n '/^[a-zA-Z0-9_.]*:/s/:.*//p' <Makefile
+
+train_local_spam:
+	gcloud ai-platform local train \
+		--package-path trainer/ \
+		--module-name trainer.task \
+		--job-dir $(OUTPUT_DIR) \
+		-- \
+		--train-steps 1000 \
+		--verbosity DEBUG \
+		--train-file $(TRAIN_FILE) \
+		--trainer-type spam
+
+train_local_spam_2:
+	gcloud ai-platform local train \
+		--package-path trainer2/ \
+		--module-name trainer2.task \
+		--job-dir $(OUTPUT_DIR) \
+		-- \
+		--train-steps 1000 \
+		--verbosity DEBUG \
+		--train-file $(TRAIN_FILE) \
+		--trainer-type spam
+
+predict_local_spam:
+	./spam.py local-predict
+	gcloud ai-platform local predict \
+		--model-dir $(MODEL_DIR) \
+		--json-instances /tmp/instances.json
+
+train_from_prod_data_spam:
+	gcloud ai-platform local train \
+		--package-path trainer/ \
+		--module-name trainer.task \
+		--job-dir $(OUTPUT_DIR) \
+		-- \
+		--train-steps 1000 \
+		--verbosity DEBUG \
+		--gcs-bucket monorail-prod.appspot.com \
+		--gcs-prefix spam_training_data \
+		--trainer-type spam
+
+train_from_prod_data_spam_2:
+	gcloud ai-platform local train \
+		--package-path trainer2/ \
+		--module-name trainer2.task \
+		--job-dir $(OUTPUT_DIR) \
+		-- \
+		--train-steps 1000 \
+		--verbosity DEBUG \
+		--gcs-bucket monorail-prod.appspot.com \
+		--gcs-prefix spam_training_data \
+		--trainer-type spam
+
+submit_train_job_spam:
+	@echo ${TIMESTAMP}
+	gcloud ai-platform jobs submit training $(SPAM_JOB_NAME) \
+		--package-path trainer/ \
+		--module-name trainer.task \
+		--runtime-version 1.2 \
+		--job-dir gs://monorail-prod-mlengine/$(SPAM_JOB_NAME) \
+		--region us-central1 \
+		-- \
+		--train-steps 1000 \
+		--verbosity DEBUG \
+		--gcs-bucket monorail-prod.appspot.com \
+		--gcs-prefix spam_training_data \
+		--trainer-type spam
+
+submit_train_job_spam_2:
+	@echo ${TIMESTAMP}
+	gcloud ai-platform jobs submit training $(SPAM_JOB_NAME) \
+		--package-path trainer2/ \
+		--module-name trainer2.task \
+		--runtime-version 2.1 \
+		--python-version 3.7 \
+		--job-dir gs://monorail-prod-mlengine/$(SPAM_JOB_NAME) \
+		--region us-central1 \
+		-- \
+		--train-steps 1000 \
+		--verbosity DEBUG \
+		--gcs-bucket monorail-prod.appspot.com \
+		--gcs-prefix spam_training_data \
+		--trainer-type spam
+
+# VERSION of format 'v_TIMESTAMP' should match TIMESTAMP in SPAM_JOB_NAME and MODEL_BINARIES.
+upload_model_prod_spam:
+ifndef MODEL_BINARIES
+	$(error MODEL_BINARIES not set)
+endif
+ifndef VERSION
+	$(error VERSION not set)
+endif
+	gsutil ls -r gs://monorail-prod-mlengine/$(SPAM_JOB_NAME)
+	gcloud ai-platform versions create $(VERSION) \
+		--model spam_only_words \
+		--origin $(MODEL_BINARIES) \
+		--runtime-version 1.2
+	gcloud ai-platform versions set-default $(VERSION) --model spam_only_words
+
+submit_pred_spam:
+ifndef SUMMARY_PATH
+	$(error SUMMARY_PATH not set)
+endif
+ifndef CONTENT_PATH
+	$(error CONTENT_PATH not set)
+endif
+	./spam.py predict --summary $(SUMMARY_PATH) --content $(CONTENT_PATH)
+
+
+train_from_prod_data_component:
+	gcloud ai-platform local train \
+		--package-path trainer/ \
+		--module-name trainer.task \
+		--job-dir $(OUTPUT_DIR) \
+		-- \
+		--train-steps 10000 \
+		--eval-steps 1000 \
+		--verbosity DEBUG \
+		--gcs-bucket monorail-prod.appspot.com \
+		--gcs-prefix component_training_data \
+		--trainer-type component
+
+submit_train_job_component:
+	gcloud init
+	gcloud ai-platform jobs submit training $(COMP_JOB_NAME) \
+		--package-path trainer/ \
+		--module-name trainer.task \
+		--runtime-version 1.2 \
+		--job-dir gs://monorail-prod-mlengine/$(COMP_JOB_NAME) \
+		--region us-central1 \
+		--scale-tier custom \
+		--config config.json \
+		-- \
+		--train-steps 10000 \
+		--eval-steps 1000 \
+		--verbosity DEBUG \
+		--gcs-bucket monorail-prod.appspot.com \
+		--gcs-prefix component_training_data \
+		--trainer-type component
+
+submit_train_job_component_2:
+	gcloud ai-platform jobs submit training $(COMP_JOB_NAME) \
+		--package-path trainer2/ \
+		--module-name trainer2.task \
+		--runtime-version 2.1 \
+		--python-version 3.7 \
+		--job-dir gs://monorail-prod-mlengine/$(COMP_JOB_NAME) \
+		--region us-central1 \
+		--scale-tier custom \
+		--master-machine-type n1-highmem-8 \
+		-- \
+		--train-steps 10000 \
+		--eval-steps 1000 \
+		--verbosity DEBUG \
+		--gcs-bucket monorail-prod.appspot.com \
+		--gcs-prefix component_training_data \
+		--trainer-type component
+
+# VERSION of format 'v_TIMESTAMP' should match TIMESTAMP in COMP_JOB_NAME and MODEL_BINARIES.
+upload_model_prod_component:
+ifndef MODEL_BINARIES
+	$(error MODEL_BINARIES not set)
+endif
+ifndef VERSION
+	$(error VERSION not set)
+endif
+	gsutil ls -r gs://monorail-prod-mlengine/$(COMP_JOB_NAME)
+	gcloud ai-platform versions create $(VERSION) \
+		--model component_top_words \
+		--origin $(MODEL_BINARIES) \
+		--runtime-version 1.2
+	gcloud ai-platform versions set-default $(VERSION) --model component_top_words
+
+submit_pred_component:
+ifndef CONTENT_PATH
+	$(error CONTENT_PATH not set)
+endif
+	./component.py --project monorail-prod --content $(CONTENT_PATH)
+
+
+### Local Training in TF 2.0
+
+tf2_train_local_spam:
+ifndef TRAIN_FILE
+	$(error TRAIN_FILE not set)
+endif
+	python3 ./trainer2/task.py \
+		--train-file $(TRAIN_FILE) \
+		--job-dir $(OUTPUT_DIR) \
+		--train-steps 1000 \
+		--verbosity DEBUG \
+		--trainer-type spam
+
+tf2_train_local_component:
+ifndef TRAIN_FILE
+	$(error TRAIN_FILE not set)
+endif
+	python3 ./trainer2/task.py \
+		--train-file $(TRAIN_FILE) \
+		--job-dir $(OUTPUT_DIR) \
+		--train-steps 10000 \
+		--eval-steps 1000 \
+		--verbosity DEBUG \
+		--trainer-type component