diff --git a/keras/api/BUILD b/keras/api/BUILD
index 3e7f3b569..e1acbbe25 100644
--- a/keras/api/BUILD
+++ b/keras/api/BUILD
@@ -95,6 +95,7 @@ keras_packages = [
     "keras.optimizers.optimizer_experimental.adagrad",
     "keras.optimizers.optimizer_experimental.adam",
     "keras.optimizers.optimizer_experimental.adamax",
+    "keras.optimizers.optimizer_experimental.ftrl",
     "keras.optimizers.optimizer_experimental.sgd",
     "keras.optimizers.optimizer_experimental.optimizer",
     "keras.optimizers.optimizer_experimental.rmsprop",
diff --git a/keras/api/golden/v2/tensorflow.keras.optimizers.experimental.-ftrl.pbtxt b/keras/api/golden/v2/tensorflow.keras.optimizers.experimental.-ftrl.pbtxt
new file mode 100644
index 000000000..228302beb
--- /dev/null
+++ b/keras/api/golden/v2/tensorflow.keras.optimizers.experimental.-ftrl.pbtxt
@@ -0,0 +1,98 @@
+path: "tensorflow.keras.optimizers.experimental.Ftrl"
+tf_class {
+  is_instance: "<class \'keras.optimizers.optimizer_experimental.ftrl.Ftrl\'>"
+  is_instance: "<class \'keras.optimizers.optimizer_experimental.optimizer.Optimizer\'>"
+  is_instance: "<class \'keras.optimizers.optimizer_experimental.optimizer._BaseOptimizer\'>"
+  is_instance: "<class \'tensorflow.python.module.module.Module\'>"
+  is_instance: "<class \'tensorflow.python.training.tracking.autotrackable.AutoTrackable\'>"
+  is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
+  is_instance: "<type \'object\'>"
+  member {
+    name: "iterations"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "learning_rate"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "lr"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "name"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "name_scope"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "non_trainable_variables"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "submodules"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "trainable_variables"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "variables"
+    mtype: "<type \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'learning_rate\', \'learning_rate_power\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'l2_shrinkage_regularization_strength\', \'beta\', \'clipnorm\', \'clipvalue\', \'global_clipnorm\', \'use_ema\', \'ema_momentum\', \'ema_overwrite_frequency\', \'jit_compile\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'None\', \'None\', \'False\', \'0.99\', \'None\', \'False\', \'Ftrl\'], "
+  }
+  member_method {
+    name: "add_variable"
+    argspec: "args=[\'self\', \'shape\', \'dtype\', \'initializer\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'zeros\', \'None\'], "
+  }
+  member_method {
+    name: "add_variable_from_reference"
+    argspec: "args=[\'self\', \'model_variable\', \'variable_name\', \'initial_value\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "aggregate_gradients"
+    argspec: "args=[\'self\', \'grads_and_vars\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "apply_gradients"
+    argspec: "args=[\'self\', \'grads_and_vars\', \'skip_gradients_aggregation\'], varargs=None, keywords=None, defaults=[\'False\'], "
+  }
+  member_method {
+    name: "build"
+    argspec: "args=[\'self\', \'var_list\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "compute_gradients"
+    argspec: "args=[\'self\', \'loss\', \'var_list\', \'tape\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "finalize_variable_values"
+    argspec: "args=[\'self\', \'var_list\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "from_config"
+    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "get_config"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "minimize"
+    argspec: "args=[\'self\', \'loss\', \'var_list\', \'tape\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "update_step"
+    argspec: "args=[\'self\', \'gradient\', \'variable\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "with_name_scope"
+    argspec: "args=[\'cls\', \'method\'], varargs=None, keywords=None, defaults=None"
+  }
+}
diff --git a/keras/api/golden/v2/tensorflow.keras.optimizers.experimental.pbtxt b/keras/api/golden/v2/tensorflow.keras.optimizers.experimental.pbtxt
index 16e3992a8..0ac38f277 100644
--- a/keras/api/golden/v2/tensorflow.keras.optimizers.experimental.pbtxt
+++ b/keras/api/golden/v2/tensorflow.keras.optimizers.experimental.pbtxt
@@ -20,6 +20,10 @@ tf_module {
     name: "Adamax"
     mtype: "<type \'type\'>"
   }
+  member {
+    name: "Ftrl"
+    mtype: "<type \'type\'>"
+  }
   member {
     name: "Optimizer"
     mtype: "<type \'type\'>"
diff --git a/keras/optimizers/__init__.py b/keras/optimizers/__init__.py
index 9b5ecea21..58b342f18 100644
--- a/keras/optimizers/__init__.py
+++ b/keras/optimizers/__init__.py
@@ -27,6 +27,7 @@ from keras.optimizers.optimizer_experimental import adagrad as adagrad_experimen
 from keras.optimizers.optimizer_experimental import adam as adam_experimental
 from keras.optimizers.optimizer_experimental import adamax as adamax_experimental
 from keras.optimizers.optimizer_experimental import adamw as adamw_experimental
+from keras.optimizers.optimizer_experimental import ftrl as ftrl_experimental
 from keras.optimizers.optimizer_experimental import rmsprop as rmsprop_experimental
 from keras.optimizers.optimizer_experimental import sgd as sgd_experimental
 from keras.optimizers.optimizer_v1 import Optimizer
diff --git a/keras/optimizers/optimizer_experimental/ftrl.py b/keras/optimizers/optimizer_experimental/ftrl.py
index 78adf1a20..1858defdf 100644
--- a/keras/optimizers/optimizer_experimental/ftrl.py
+++ b/keras/optimizers/optimizer_experimental/ftrl.py
@@ -17,10 +17,13 @@
 from keras.optimizers.optimizer_experimental import optimizer
 from keras.utils import generic_utils
 import tensorflow.compat.v2 as tf
+# pylint: disable=g-direct-tensorflow-import
+from tensorflow.python.util.tf_export import keras_export
 
 
 # pylint: disable=g-classes-have-attributes
 @generic_utils.register_keras_serializable()
+@keras_export('keras.optimizers.experimental.Ftrl', v1=[])
 class Ftrl(optimizer.Optimizer):
   r"""Optimizer that implements the FTRL algorithm.