diff --git a/kedro/extras/datasets/geopandas/__init__.py b/kedro/extras/datasets/geopandas/__init__.py
index 8a8f9e8101..966577fc37 100644
--- a/kedro/extras/datasets/geopandas/__init__.py
+++ b/kedro/extras/datasets/geopandas/__init__.py
@@ -1,4 +1,4 @@
-"""``GeoJSONLocalDataset`` is an ``AbstractVersionedDataSet`` to save and load GeoJSON files.
+"""``GeoJSONDataSet`` is an ``AbstractVersionedDataSet`` to save and load GeoJSON files.
 """
 __all__ = ["GeoJSONDataSet"]
 
diff --git a/kedro/io/__init__.py b/kedro/io/__init__.py
index 112d90d809..5899f904c6 100644
--- a/kedro/io/__init__.py
+++ b/kedro/io/__init__.py
@@ -1,16 +1,14 @@
 """``kedro.io`` provides functionality to read and write to a
 number of data sets. At the core of the library is the ``AbstractDataSet`` class.
 """
+from __future__ import annotations
 
 from .cached_dataset import CachedDataSet, CachedDataset
 from .core import (
     AbstractDataSet,
     AbstractVersionedDataSet,
-    DataSetAlreadyExistsError,
     DatasetAlreadyExistsError,
-    DataSetError,
     DatasetError,
-    DataSetNotFoundError,
     DatasetNotFoundError,
     Version,
 )
@@ -24,6 +22,22 @@
     PartitionedDataset,
 )
 
+# https://github.com/pylint-dev/pylint/issues/4300#issuecomment-1043601901
+DataSetError: type[Exception]
+DataSetNotFoundError: type[DatasetError]
+DataSetAlreadyExistsError: type[DatasetError]
+
+
+def __getattr__(name):
+    import kedro.io.core  # pylint: disable=import-outside-toplevel
+
+    if name in (
+        kedro.io.core._DEPRECATED_ERROR_CLASSES  # pylint: disable=protected-access
+    ):
+        return getattr(kedro.io.core, name)
+    raise AttributeError(f"module {repr(__name__)} has no attribute {repr(name)}")
+
+
 __all__ = [
     "AbstractDataSet",
     "AbstractVersionedDataSet",
diff --git a/kedro/io/core.py b/kedro/io/core.py
index 1387812eef..fd90d25b8f 100644
--- a/kedro/io/core.py
+++ b/kedro/io/core.py
@@ -20,7 +20,7 @@
 from cachetools import Cache, cachedmethod
 from cachetools.keys import hashkey
 
-from kedro.utils import DeprecatedClassMeta, load_obj
+from kedro.utils import load_obj
 
 warnings.simplefilter("default", DeprecationWarning)
 
@@ -31,6 +31,11 @@
 PROTOCOL_DELIMITER = "://"
 CLOUD_PROTOCOLS = ("s3", "s3n", "s3a", "gcs", "gs", "adl", "abfs", "abfss", "gdrive")
 
+# https://github.com/pylint-dev/pylint/issues/4300#issuecomment-1043601901
+DataSetError: type[Exception]
+DataSetNotFoundError: type[DatasetError]
+DataSetAlreadyExistsError: type[DatasetError]
+
 
 class DatasetError(Exception):
     """``DatasetError`` raised by ``AbstractDataSet`` implementations
@@ -43,12 +48,6 @@ class DatasetError(Exception):
     pass
 
 
-class DataSetError(metaclass=DeprecatedClassMeta):
-    # pylint: disable=missing-class-docstring, too-few-public-methods
-
-    _DeprecatedClassMeta__alias = DatasetError
-
-
 class DatasetNotFoundError(DatasetError):
     """``DatasetNotFoundError`` raised by ``DataCatalog`` class in case of
     trying to use a non-existing data set.
@@ -57,12 +56,6 @@ class DatasetNotFoundError(DatasetError):
     pass
 
 
-class DataSetNotFoundError(metaclass=DeprecatedClassMeta):
-    # pylint: disable=missing-class-docstring, too-few-public-methods
-
-    _DeprecatedClassMeta__alias = DatasetNotFoundError
-
-
 class DatasetAlreadyExistsError(DatasetError):
     """``DatasetAlreadyExistsError`` raised by ``DataCatalog`` class in case
     of trying to add a data set which already exists in the ``DataCatalog``.
@@ -71,10 +64,24 @@ class DatasetAlreadyExistsError(DatasetError):
     pass
 
 
-class DataSetAlreadyExistsError(metaclass=DeprecatedClassMeta):
-    # pylint: disable=missing-class-docstring, too-few-public-methods
+_DEPRECATED_ERROR_CLASSES = {
+    "DataSetError": DatasetError,
+    "DataSetNotFoundError": DatasetNotFoundError,
+    "DataSetAlreadyExistsError": DatasetAlreadyExistsError,
+}
 
-    _DeprecatedClassMeta__alias = DatasetAlreadyExistsError
+
+def __getattr__(name):
+    if name in _DEPRECATED_ERROR_CLASSES:
+        alias = _DEPRECATED_ERROR_CLASSES[name]
+        warnings.warn(
+            f"{repr(name)} has been renamed to {repr(alias.__name__)}, "
+            f"and the alias will be removed in Kedro 0.19.0",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+        return alias
+    raise AttributeError(f"module {repr(__name__)} has no attribute {repr(name)}")
 
 
 class VersionNotFoundError(DatasetError):
diff --git a/tests/io/test_core.py b/tests/io/test_core.py
index 64e0f3d6dd..05a3204639 100644
--- a/tests/io/test_core.py
+++ b/tests/io/test_core.py
@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import importlib
 from decimal import Decimal
 from fractions import Fraction
 from pathlib import PurePosixPath
@@ -7,7 +8,12 @@
 
 import pytest
 
-from kedro.io.core import AbstractDataSet, _parse_filepath, get_filepath_str
+from kedro.io.core import (
+    _DEPRECATED_ERROR_CLASSES,
+    AbstractDataSet,
+    _parse_filepath,
+    get_filepath_str,
+)
 
 # List sourced from https://docs.python.org/3/library/stdtypes.html#truth-value-testing.
 # Excludes None, as None values are not shown in the str representation.
@@ -27,6 +33,13 @@
 ]
 
 
+@pytest.mark.parametrize("module_name", ["kedro.io", "kedro.io.core"])
+@pytest.mark.parametrize("class_name", _DEPRECATED_ERROR_CLASSES)
+def test_deprecation(module_name, class_name):
+    with pytest.warns(DeprecationWarning, match=f"{repr(class_name)} has been renamed"):
+        getattr(importlib.import_module(module_name), class_name)
+
+
 class MyDataSet(AbstractDataSet):
     def __init__(self, var=None):
         self.var = var