diff --git a/pyproject.toml b/pyproject.toml
index 911ee92e86..e35a43c163 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -39,7 +39,7 @@ dependencies = [
   "google-pasta",
   "importlib-metadata>=1.4.0,<7.0",
   "jsonschema",
-  "numpy>=1.26.4,<2.3.3",
+  "numpy==1.26.4",
   "omegaconf>=2.2,<3",
   "packaging>=23.0,<25",
   "pandas",
diff --git a/requirements/extras/scipy_requirements.txt b/requirements/extras/scipy_requirements.txt
index f89caf8c2b..44ce1d9331 100644
--- a/requirements/extras/scipy_requirements.txt
+++ b/requirements/extras/scipy_requirements.txt
@@ -1 +1 @@
-scipy==1.13.0
+scipy==1.11.3
diff --git a/requirements/extras/test_requirements.txt b/requirements/extras/test_requirements.txt
index 09e67a5e29..d66235d84a 100644
--- a/requirements/extras/test_requirements.txt
+++ b/requirements/extras/test_requirements.txt
@@ -1,5 +1,5 @@
 tox==3.24.5
-numpy>=2.0.0, <2.3.3
+numpy==1.26.4
 build[virtualenv]==1.2.1
 flake8==7.1.2
 pytest==6.2.5
@@ -23,8 +23,8 @@ requests==2.32.2
 sagemaker-experiments==0.1.35
 Jinja2==3.1.6
 pyvis==0.2.1
-pandas>=2.3.0
-scikit-learn==1.6.1
+pandas==1.4.4
+scikit-learn==1.3.0
 cloudpickle==2.2.1
 jsonpickle<4.0.0
 PyYAML>=6.0.1
@@ -44,7 +44,7 @@ onnx==1.17.0
 nbformat>=5.9,<6
 accelerate>=0.24.1,<=0.27.0
 schema==0.7.5
-tensorflow>=2.16.2,<=2.19.0
+tensorflow>=2.16.2,<=2.18.0
 mlflow>=2.14.2,<3
 huggingface_hub==0.26.2
 uvicorn>=0.30.1
diff --git a/src/sagemaker/image_uri_config/sklearn.json b/src/sagemaker/image_uri_config/sklearn.json
index 0087f9fb14..85114a11d2 100644
--- a/src/sagemaker/image_uri_config/sklearn.json
+++ b/src/sagemaker/image_uri_config/sklearn.json
@@ -388,54 +388,6 @@
                     "us-west-2": "246618743249"
                 },
                 "repository": "sagemaker-scikit-learn"
-            },
-            "1.4-2": {
-                "processors": [
-                    "cpu"
-                ],
-                "py_versions": [
-                    "py3"
-                ],
-                "registries": {
-                    "af-south-1": "510948584623",
-                    "ap-east-1": "651117190479",
-                    "ap-northeast-1": "354813040037",
-                    "ap-northeast-2": "366743142698",
-                    "ap-northeast-3": "867004704886",
-                    "ap-south-1": "720646828776",
-                    "ap-south-2": "628508329040",
-                    "ap-southeast-1": "121021644041",
-                    "ap-southeast-2": "783357654285",
-                    "ap-southeast-3": "951798379941",
-                    "ap-southeast-4": "106583098589",
-                    "ca-central-1": "341280168497",
-                    "ca-west-1": "190319476487",
-                    "cn-north-1": "450853457545",
-                    "cn-northwest-1": "451049120500",
-                    "eu-central-1": "492215442770",
-                    "eu-central-2": "680994064768",
-                    "eu-north-1": "662702820516",
-                    "eu-south-1": "978288397137",
-                    "eu-south-2": "104374241257",
-                    "eu-west-1": "141502667606",
-                    "eu-west-2": "764974769150",
-                    "eu-west-3": "659782779980",
-                    "il-central-1": "898809789911",
-                    "me-central-1": "272398656194",
-                    "me-south-1": "801668240914",
-                    "sa-east-1": "737474898029",
-                    "us-east-1": "683313688378",
-                    "us-east-2": "257758044811",
-                    "us-gov-east-1": "237065988967",
-                    "us-gov-west-1": "414596584902",
-                    "us-iso-east-1": "833128469047",
-                    "us-isob-east-1": "281123927165",
-                    "us-isof-east-1": "108575199400",
-                    "us-isof-south-1": "124985052026",
-                    "us-west-1": "746614075791",
-                    "us-west-2": "246618743249"
-                },
-                "repository": "sagemaker-scikit-learn"
             }
         }
     },
diff --git a/src/sagemaker/serve/utils/conda_in_process.yml b/src/sagemaker/serve/utils/conda_in_process.yml
index fc37d92d67..d51754ec5a 100644
--- a/src/sagemaker/serve/utils/conda_in_process.yml
+++ b/src/sagemaker/serve/utils/conda_in_process.yml
@@ -12,7 +12,7 @@ dependencies:
     - boto3>=1.34.142,<2.0
     - cloudpickle==2.2.1
     - google-pasta
-    - numpy>=2.0.0,<2.3.3
+    - numpy==1.26.4
     - protobuf>=3.12,<5.0
     - smdebug_rulesconfig==1.0.1
     - importlib-metadata>=1.4.0,<7.0
@@ -64,7 +64,7 @@ dependencies:
             - multiprocess>=0.70.14
             - networkx>=3.1
             - packaging>=23.1
-            - pandas>=2.3.0
+            - pandas>=1.5.3
             - pathos>=0.3.0
             - pillow>=9.5.0
             - platformdirs>=3.2.0
diff --git a/tests/data/remote_function/requirements.txt b/tests/data/remote_function/requirements.txt
index f89caf8c2b..44ce1d9331 100644
--- a/tests/data/remote_function/requirements.txt
+++ b/tests/data/remote_function/requirements.txt
@@ -1 +1 @@
-scipy==1.13.0
+scipy==1.11.3
diff --git a/tests/data/serve_resources/mlflow/pytorch/MLmodel b/tests/data/serve_resources/mlflow/pytorch/MLmodel
index 7244675c6e..9383ddf521 100644
--- a/tests/data/serve_resources/mlflow/pytorch/MLmodel
+++ b/tests/data/serve_resources/mlflow/pytorch/MLmodel
@@ -14,7 +14,7 @@ flavors:
     code: null
     model_data: data
     pytorch_version: 2.0.1+cu117
-mlflow_version: 2.10.2
+mlflow_version: 2.11.1
 model_size_bytes: 4971001
 model_uuid: 2d85043bbf504b1e9950e124c46a1719
 run_id: 98b8d2e2c0e74ab59f4c26f7cb3de233
diff --git a/tests/data/serve_resources/mlflow/pytorch/conda.yaml b/tests/data/serve_resources/mlflow/pytorch/conda.yaml
index 101fce52ff..b740d25b70 100644
--- a/tests/data/serve_resources/mlflow/pytorch/conda.yaml
+++ b/tests/data/serve_resources/mlflow/pytorch/conda.yaml
@@ -2,23 +2,23 @@ channels:
 - conda-forge
 dependencies:
 - python=3.10.13
-- pip<=24.3
+- pip<=23.3.1
 - pip:
-  - mlflow>=2.16.1
+  - mlflow==2.10.2
   - astunparse==1.6.3
   - cffi==1.16.0
   - cloudpickle==2.2.1
   - defusedxml==0.7.1
   - dill==0.3.9
   - gmpy2==2.1.2
-  - numpy>=2.0.0,<2.3.3
+  - numpy==1.26.4
   - opt-einsum==3.3.0
   - packaging==24.0
-  - pandas>=2.3.0
+  - pandas==2.2.1
   - pyyaml==6.0.1
   - requests==2.31.0
   - torch>=2.6.0
   - torchvision>=0.17.0
   - tqdm==4.66.2
-  - scikit-learn==1.6.1
+  - scikit-learn==1.3.2
 name: mlflow-env
diff --git a/tests/data/serve_resources/mlflow/pytorch/requirements.txt b/tests/data/serve_resources/mlflow/pytorch/requirements.txt
index d0c2a64abd..eabe5e8e82 100644
--- a/tests/data/serve_resources/mlflow/pytorch/requirements.txt
+++ b/tests/data/serve_resources/mlflow/pytorch/requirements.txt
@@ -5,10 +5,10 @@ cloudpickle==2.2.1
 defusedxml==0.7.1
 dill==0.3.9
 gmpy2==2.1.2
-numpy>=2.0.0,<2.3.3
+numpy==1.26.4
 opt-einsum==3.3.0
 packaging>=23.0,<25
-pandas>=2.3.0
+pandas==2.2.1
 pyyaml==6.0.1
 requests==2.32.4
 torch>=2.6.0
diff --git a/tests/data/serve_resources/mlflow/tensorflow/conda.yaml b/tests/data/serve_resources/mlflow/tensorflow/conda.yaml
index a8394f69ce..90d8c300a0 100644
--- a/tests/data/serve_resources/mlflow/tensorflow/conda.yaml
+++ b/tests/data/serve_resources/mlflow/tensorflow/conda.yaml
@@ -2,10 +2,10 @@ channels:
 - conda-forge
 dependencies:
 - python=3.10.13
-- pip<=24.3
+- pip<=23.3.1
 - pip:
-  - mlflow>=2.16.1
-  - cloudpickle>=2.2.1
-  - numpy>=1.26.4,<2.3.3
-  - tensorflow==2.18.0
+  - mlflow==2.11.1
+  - cloudpickle==2.2.1
+  - numpy==1.26.4
+  - tensorflow==2.16.1
 name: mlflow-env
diff --git a/tests/data/serve_resources/mlflow/tensorflow/requirements.txt b/tests/data/serve_resources/mlflow/tensorflow/requirements.txt
index b57ea88fca..9b64992ac8 100644
--- a/tests/data/serve_resources/mlflow/tensorflow/requirements.txt
+++ b/tests/data/serve_resources/mlflow/tensorflow/requirements.txt
@@ -1,4 +1,4 @@
 mlflow==2.20.3
-cloudpickle>=2.2.1
-numpy>=1.26.4,<2.3.3
-tensorflow==2.18.0
+cloudpickle==2.2.1
+numpy==1.26.4
+tensorflow==2.16.1
diff --git a/tests/data/serve_resources/mlflow/tensorflow_numpy2/MLmodel b/tests/data/serve_resources/mlflow/tensorflow_numpy2/MLmodel
deleted file mode 100644
index 694ab87f3d..0000000000
--- a/tests/data/serve_resources/mlflow/tensorflow_numpy2/MLmodel
+++ /dev/null
@@ -1,13 +0,0 @@
-artifact_path: model
-flavors:
-  python_function:
-    env:
-      conda: conda.yaml
-      virtualenv: python_env.yaml
-    loader_module: mlflow.tensorflow
-    python_version: 3.10.0
-  tensorflow:
-    saved_model_dir: tf2model
-    model_type: tf2-module
-mlflow_version: 2.20.3
-model_uuid: test-uuid-numpy2
diff --git a/tests/data/serve_resources/mlflow/tensorflow_numpy2/conda.yaml b/tests/data/serve_resources/mlflow/tensorflow_numpy2/conda.yaml
deleted file mode 100644
index 079d4cb62e..0000000000
--- a/tests/data/serve_resources/mlflow/tensorflow_numpy2/conda.yaml
+++ /dev/null
@@ -1,11 +0,0 @@
-channels:
-- conda-forge
-dependencies:
-- python=3.10
-- pip
-- pip:
-  - numpy>=2.0.0
-  - tensorflow==2.19.0
-  - scikit-learn
-  - mlflow
-name: mlflow-env
diff --git a/tests/data/serve_resources/mlflow/tensorflow_numpy2/data/keras_module.txt b/tests/data/serve_resources/mlflow/tensorflow_numpy2/data/keras_module.txt
deleted file mode 100644
index 5445ce90f6..0000000000
--- a/tests/data/serve_resources/mlflow/tensorflow_numpy2/data/keras_module.txt
+++ /dev/null
@@ -1 +0,0 @@
-tensorflow.keras
diff --git a/tests/data/serve_resources/mlflow/tensorflow_numpy2/data/model.keras b/tests/data/serve_resources/mlflow/tensorflow_numpy2/data/model.keras
deleted file mode 100644
index 582536ce65..0000000000
Binary files a/tests/data/serve_resources/mlflow/tensorflow_numpy2/data/model.keras and /dev/null differ
diff --git a/tests/data/serve_resources/mlflow/tensorflow_numpy2/data/save_format.txt b/tests/data/serve_resources/mlflow/tensorflow_numpy2/data/save_format.txt
deleted file mode 100644
index f6afb303b0..0000000000
--- a/tests/data/serve_resources/mlflow/tensorflow_numpy2/data/save_format.txt
+++ /dev/null
@@ -1 +0,0 @@
-tf
diff --git a/tests/data/serve_resources/mlflow/tensorflow_numpy2/python_env.yaml b/tests/data/serve_resources/mlflow/tensorflow_numpy2/python_env.yaml
deleted file mode 100644
index 511b585ede..0000000000
--- a/tests/data/serve_resources/mlflow/tensorflow_numpy2/python_env.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-python: 3.10.0
-build_dependencies:
-- pip
-dependencies:
-- -r requirements.txt
diff --git a/tests/data/serve_resources/mlflow/tensorflow_numpy2/requirements.txt b/tests/data/serve_resources/mlflow/tensorflow_numpy2/requirements.txt
deleted file mode 100644
index ad108e44f1..0000000000
--- a/tests/data/serve_resources/mlflow/tensorflow_numpy2/requirements.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-numpy>=2.0.0
-tensorflow==2.19.0
-scikit-learn
diff --git a/tests/data/serve_resources/mlflow/xgboost/conda.yaml b/tests/data/serve_resources/mlflow/xgboost/conda.yaml
index ea318cbdc0..44ca3c4c2e 100644
--- a/tests/data/serve_resources/mlflow/xgboost/conda.yaml
+++ b/tests/data/serve_resources/mlflow/xgboost/conda.yaml
@@ -2,14 +2,14 @@ channels:
 - conda-forge
 dependencies:
 - python=3.10.13
-- pip<=24.3
+- pip<=23.3.1
 - pip:
-  - mlflow>=2.16.1
+  - mlflow==2.11.1
   - lz4==4.3.2
-  - numpy>=1.26.4,<2.3.3
-  - pandas>=2.3.0
+  - numpy==1.26.4
+  - pandas==2.2.1
   - psutil==5.9.8
-  - scikit-learn==1.6.1
-  - scipy==1.13.0
+  - scikit-learn==1.3.2
+  - scipy==1.11.3
   - xgboost==1.7.1
 name: mlflow-env
diff --git a/tests/data/serve_resources/mlflow/xgboost/requirements.txt b/tests/data/serve_resources/mlflow/xgboost/requirements.txt
index 233b627052..78c7a1afda 100644
--- a/tests/data/serve_resources/mlflow/xgboost/requirements.txt
+++ b/tests/data/serve_resources/mlflow/xgboost/requirements.txt
@@ -1,8 +1,8 @@
 mlflow==3.1.0
 lz4==4.3.2
-numpy>=1.26.4,<2.3.3
-pandas>=2.3.0
+numpy==1.26.4
+pandas==2.0.3
 psutil==5.9.8
-scikit-learn==1.6.1
-scipy==1.13.0
+scikit-learn==1.5.1
+scipy==1.11.3
 xgboost==1.7.1
diff --git a/tests/data/workflow/requirements.txt b/tests/data/workflow/requirements.txt
index f89caf8c2b..44ce1d9331 100644
--- a/tests/data/workflow/requirements.txt
+++ b/tests/data/workflow/requirements.txt
@@ -1 +1 @@
-scipy==1.13.0
+scipy==1.11.3
diff --git a/tests/integ/sagemaker/experiments/test_run.py b/tests/integ/sagemaker/experiments/test_run.py
index c168ddc0c4..f00f53a5ad 100644
--- a/tests/integ/sagemaker/experiments/test_run.py
+++ b/tests/integ/sagemaker/experiments/test_run.py
@@ -171,10 +171,6 @@ def verify_is_run():
 _RUN_LOAD = "load"
 
 
-@pytest.mark.skip(
-    reason="[Numpy 2.0] Skipping this test temporarily as the SKLearn image\
-           deployment is in progress to all the regions",
-)
 def test_run_from_local_and_train_job_and_all_exp_cfg_match(
     sagemaker_session,
     dev_sdk_tar,
@@ -182,7 +178,6 @@ def test_run_from_local_and_train_job_and_all_exp_cfg_match(
     sagemaker_client_config,
     sagemaker_metrics_config,
 ):
-    # TODO: Enable this test after the image deployment is completed.
     # Notes:
     # 1. The 1st Run created locally and its exp config was auto passed to the job
     # 2. In training job, the same exp and run names are given in the Run constructor
@@ -276,10 +271,6 @@ def test_run_from_local_and_train_job_and_all_exp_cfg_match(
         )
 
 
-@pytest.mark.skip(
-    reason="[Numpy 2.0] Skipping this test temporarily as the SKLearn image\
-           deployment is in progress to all the regions",
-)
 def test_run_from_local_and_train_job_and_exp_cfg_not_match(
     sagemaker_session,
     dev_sdk_tar,
@@ -287,7 +278,6 @@ def test_run_from_local_and_train_job_and_exp_cfg_not_match(
     sagemaker_client_config,
     sagemaker_metrics_config,
 ):
-    # TODO: Enable this test after the image deployment is completed.
     # Notes:
     # 1. The 1st Run created locally and its exp config was auto passed to the job
     # 2. In training job, different exp and run names (i.e. 2nd Run) are given
@@ -367,10 +357,6 @@ def test_run_from_local_and_train_job_and_exp_cfg_not_match(
         )
 
 
-@pytest.mark.skip(
-    reason="[Numpy 2.0] Skipping this test temporarily as the SKLearn image\
-           deployment is in progress to all the regions",
-)
 def test_run_from_train_job_only(
     sagemaker_session,
     dev_sdk_tar,
@@ -378,7 +364,6 @@ def test_run_from_train_job_only(
     sagemaker_client_config,
     sagemaker_metrics_config,
 ):
-    # TODO: Enable this test after the image deployment is completed.
     # Notes:
     # 1. No Run created locally or specified in experiment config
     # 2. In training job, Run is initialized
@@ -708,7 +693,7 @@ def _generate_estimator(
         sagemaker_client_config=sagemaker_client_config,
     )
     return SKLearn(
-        framework_version="1.4-2",
+        framework_version="1.2-1",
         entry_point=_ENTRY_POINT_PATH,
         dependencies=[sdk_tar],
         role=execution_role,
diff --git a/tests/integ/sagemaker/feature_store/feature_processor/test_feature_processor_integ.py b/tests/integ/sagemaker/feature_store/feature_processor/test_feature_processor_integ.py
index 14030534a2..fb69bb1b3f 100644
--- a/tests/integ/sagemaker/feature_store/feature_processor/test_feature_processor_integ.py
+++ b/tests/integ/sagemaker/feature_store/feature_processor/test_feature_processor_integ.py
@@ -1108,15 +1108,15 @@ def get_expected_dataframe():
     expected_dataframe = pd.read_csv(os.path.join(_FEATURE_PROCESSOR_DIR, "car-data.csv"))
     expected_dataframe["Model"].replace("^\d\d\d\d\s", "", regex=True, inplace=True)  # noqa: W605
     expected_dataframe["Mileage"].replace("(,)|(mi\.)", "", regex=True, inplace=True)  # noqa: W605
-    expected_dataframe["Mileage"].replace("Not available", np.nan, inplace=True)
+    expected_dataframe["Mileage"].replace("Not available", np.NaN, inplace=True)
     expected_dataframe["Price"].replace("\$", "", regex=True, inplace=True)  # noqa: W605
     expected_dataframe["Price"].replace(",", "", regex=True, inplace=True)
     expected_dataframe["MSRP"].replace(
         "(^MSRP\s\\$)|(,)", "", regex=True, inplace=True  # noqa: W605
     )
-    expected_dataframe["MSRP"].replace("Not specified", np.nan, inplace=True)
+    expected_dataframe["MSRP"].replace("Not specified", np.NaN, inplace=True)
     expected_dataframe["MSRP"].replace(
-        "\\$\d+[a-zA-Z\s]+", np.nan, regex=True, inplace=True  # noqa: W605
+        "\\$\d+[a-zA-Z\s]+", np.NaN, regex=True, inplace=True  # noqa: W605
     )
     expected_dataframe["Mileage"] = expected_dataframe["Mileage"].astype(float)
     expected_dataframe["Price"] = expected_dataframe["Price"].astype(float)
diff --git a/tests/integ/sagemaker/remote_function/test_decorator.py b/tests/integ/sagemaker/remote_function/test_decorator.py
index 5666f62ea3..fa55d7dfa7 100644
--- a/tests/integ/sagemaker/remote_function/test_decorator.py
+++ b/tests/integ/sagemaker/remote_function/test_decorator.py
@@ -20,7 +20,6 @@
 import logging
 import random
 import string
-import numpy as np
 import pandas as pd
 import subprocess
 import shlex
@@ -316,10 +315,6 @@ def divide(x, y):
         divide(10, 2)
 
 
-@pytest.mark.skipif(
-    np.__version__ >= "2.0",
-    reason="Test only valid for numpy < 2.0 due to serialization compatibility changes",
-)
 def test_with_incompatible_dependencies(
     sagemaker_session, dummy_container_without_error, cpu_instance_type
 ):
@@ -329,7 +324,6 @@ def test_with_incompatible_dependencies(
     or versions in the future may require changes to 'old_deps_requirements.txt'
     to fulfill testing scenario.
 
-    NOTE: Skipped for numpy >= 2.0 as serialization compatibility improved.
     """
 
     dependencies_path = os.path.join(DATA_DIR, "remote_function", "old_deps_requirements.txt")
diff --git a/tests/integ/sagemaker/serve/test_serve_mlflow_tensorflow_flavor_happy.py b/tests/integ/sagemaker/serve/test_serve_mlflow_tensorflow_flavor_happy.py
index 8c20901ab2..c25cbd7e18 100644
--- a/tests/integ/sagemaker/serve/test_serve_mlflow_tensorflow_flavor_happy.py
+++ b/tests/integ/sagemaker/serve/test_serve_mlflow_tensorflow_flavor_happy.py
@@ -105,9 +105,7 @@ def tensorflow_schema_builder(custom_request_translator, custom_response_transla
 
 @pytest.mark.skipif(
     PYTHON_VERSION_IS_NOT_310,
-    np.__version__ >= "2.0.0",
-    reason="The goal of these test are to test the serving components of our feature and \
-           the input model artifacts used in this specific test are generated with py310 and numpy<2.",
+    reason="The goal of these test are to test the serving components of our feature",
 )
 def test_happy_tensorflow_sagemaker_endpoint_with_tensorflow_serving(
     sagemaker_session,
diff --git a/tests/integ/sagemaker/serve/test_tensorflow_serving_numpy2.py b/tests/integ/sagemaker/serve/test_tensorflow_serving_numpy2.py
deleted file mode 100644
index 9894943f8a..0000000000
--- a/tests/integ/sagemaker/serve/test_tensorflow_serving_numpy2.py
+++ /dev/null
@@ -1,201 +0,0 @@
-# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License"). You
-# may not use this file except in compliance with the License. A copy of
-# the License is located at
-#
-#     http://aws.amazon.com/apache2.0/
-#
-# or in the "license" file accompanying this file. This file is
-# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
-# ANY KIND, either express or implied. See the License for the specific
-# language governing permissions and limitations under the License.
-"""Simple integration test for TensorFlow Serving builder with numpy 2.0 compatibility."""
-
-from __future__ import absolute_import
-
-import pytest
-import io
-import os
-import numpy as np
-import logging
-from tests.integ import DATA_DIR
-
-from sagemaker.serve.builder.model_builder import ModelBuilder, Mode
-from sagemaker.serve.builder.schema_builder import SchemaBuilder, CustomPayloadTranslator
-from sagemaker.serve.utils.types import ModelServer
-
-logger = logging.getLogger(__name__)
-
-
-class TestTensorFlowServingNumpy2:
-    """Simple integration tests for TensorFlow Serving with numpy 2.0."""
-
-    def test_tensorflow_serving_validation_with_numpy2(self, sagemaker_session):
-        """Test TensorFlow Serving validation works with numpy 2.0."""
-        logger.info(f"Testing TensorFlow Serving validation with numpy {np.__version__}")
-
-        # Create a simple schema builder with numpy 2.0 arrays
-        input_data = np.array([[1.0, 2.0, 3.0]], dtype=np.float32)
-        output_data = np.array([4.0], dtype=np.float32)
-
-        schema_builder = SchemaBuilder(sample_input=input_data, sample_output=output_data)
-
-        # Test without MLflow model - should raise validation error
-        model_builder = ModelBuilder(
-            mode=Mode.SAGEMAKER_ENDPOINT,
-            model_server=ModelServer.TENSORFLOW_SERVING,
-            schema_builder=schema_builder,
-            sagemaker_session=sagemaker_session,
-        )
-
-        with pytest.raises(
-            ValueError, match="Tensorflow Serving is currently only supported for mlflow models"
-        ):
-            model_builder._validate_for_tensorflow_serving()
-
-        logger.info("TensorFlow Serving validation test passed")
-
-    def test_tensorflow_serving_with_sample_mlflow_model(self, sagemaker_session):
-        """Test TensorFlow Serving builder initialization with sample MLflow model."""
-        logger.info("Testing TensorFlow Serving with sample MLflow model")
-
-        # Use constant MLflow model structure from test data
-        mlflow_model_dir = os.path.join(DATA_DIR, "serve_resources", "mlflow", "tensorflow_numpy2")
-
-        # Create schema builder with numpy 2.0 arrays
-        input_data = np.array([[1.0, 2.0, 3.0, 4.0]], dtype=np.float32)
-        output_data = np.array([5.0], dtype=np.float32)
-
-        schema_builder = SchemaBuilder(sample_input=input_data, sample_output=output_data)
-
-        # Create ModelBuilder - this should not raise validation errors
-        model_builder = ModelBuilder(
-            mode=Mode.SAGEMAKER_ENDPOINT,
-            model_server=ModelServer.TENSORFLOW_SERVING,
-            schema_builder=schema_builder,
-            sagemaker_session=sagemaker_session,
-            model_metadata={"MLFLOW_MODEL_PATH": mlflow_model_dir},
-            role_arn="arn:aws:iam::123456789012:role/SageMakerRole",
-        )
-
-        # Initialize MLflow handling to set _is_mlflow_model flag
-        model_builder._handle_mlflow_input()
-
-        # Test validation passes
-        model_builder._validate_for_tensorflow_serving()
-        logger.info("TensorFlow Serving with sample MLflow model test passed")
-
-    def test_numpy2_custom_payload_translators(self):
-        """Test custom payload translators work with numpy 2.0."""
-        logger.info(f"Testing custom payload translators with numpy {np.__version__}")
-
-        class Numpy2RequestTranslator(CustomPayloadTranslator):
-            def serialize_payload_to_bytes(self, payload: object) -> bytes:
-                buffer = io.BytesIO()
-                np.save(buffer, payload, allow_pickle=False)
-                return buffer.getvalue()
-
-            def deserialize_payload_from_stream(self, stream) -> object:
-                return np.load(io.BytesIO(stream.read()), allow_pickle=False)
-
-        class Numpy2ResponseTranslator(CustomPayloadTranslator):
-            def serialize_payload_to_bytes(self, payload: object) -> bytes:
-                buffer = io.BytesIO()
-                np.save(buffer, np.array(payload), allow_pickle=False)
-                return buffer.getvalue()
-
-            def deserialize_payload_from_stream(self, stream) -> object:
-                return np.load(io.BytesIO(stream.read()), allow_pickle=False)
-
-        # Test data
-        test_input = np.array([[1.0, 2.0, 3.0]], dtype=np.float32)
-        test_output = np.array([4.0], dtype=np.float32)
-
-        # Create translators
-        request_translator = Numpy2RequestTranslator()
-        response_translator = Numpy2ResponseTranslator()
-
-        # Test request translator
-        serialized_input = request_translator.serialize_payload_to_bytes(test_input)
-        assert isinstance(serialized_input, bytes)
-
-        deserialized_input = request_translator.deserialize_payload_from_stream(
-            io.BytesIO(serialized_input)
-        )
-        np.testing.assert_array_equal(test_input, deserialized_input)
-
-        # Test response translator
-        serialized_output = response_translator.serialize_payload_to_bytes(test_output)
-        assert isinstance(serialized_output, bytes)
-
-        deserialized_output = response_translator.deserialize_payload_from_stream(
-            io.BytesIO(serialized_output)
-        )
-        np.testing.assert_array_equal(test_output, deserialized_output)
-
-        logger.info("Custom payload translators test passed")
-
-    def test_numpy2_schema_builder_creation(self):
-        """Test SchemaBuilder creation with numpy 2.0 arrays."""
-        logger.info(f"Testing SchemaBuilder with numpy {np.__version__}")
-
-        # Create test data with numpy 2.0
-        input_data = np.array([[1.0, 2.0, 3.0, 4.0, 5.0]], dtype=np.float32)
-        output_data = np.array([10.0], dtype=np.float32)
-
-        # Create SchemaBuilder
-        schema_builder = SchemaBuilder(sample_input=input_data, sample_output=output_data)
-
-        # Verify schema builder properties
-        assert schema_builder.sample_input is not None
-        assert schema_builder.sample_output is not None
-
-        # Test with custom translators
-        class TestTranslator(CustomPayloadTranslator):
-            def serialize_payload_to_bytes(self, payload: object) -> bytes:
-                buffer = io.BytesIO()
-                np.save(buffer, payload, allow_pickle=False)
-                return buffer.getvalue()
-
-            def deserialize_payload_from_stream(self, stream) -> object:
-                return np.load(io.BytesIO(stream.read()), allow_pickle=False)
-
-        translator = TestTranslator()
-        schema_builder_with_translator = SchemaBuilder(
-            sample_input=input_data,
-            sample_output=output_data,
-            input_translator=translator,
-            output_translator=translator,
-        )
-
-        assert schema_builder_with_translator.custom_input_translator is not None
-        assert schema_builder_with_translator.custom_output_translator is not None
-
-        logger.info("SchemaBuilder creation test passed")
-
-    def test_numpy2_basic_operations(self):
-        """Test basic numpy 2.0 operations used in TensorFlow Serving."""
-        logger.info(f"Testing basic numpy 2.0 operations. Version: {np.__version__}")
-
-        # Test array creation
-        arr = np.array([1.0, 2.0, 3.0, 4.0], dtype=np.float32)
-        assert arr.dtype == np.float32
-        assert arr.shape == (4,)
-
-        # Test array operations
-        arr_2d = np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32)
-        assert arr_2d.shape == (2, 2)
-
-        # Test serialization without pickle (numpy 2.0 safe)
-        buffer = io.BytesIO()
-        np.save(buffer, arr_2d, allow_pickle=False)
-        buffer.seek(0)
-        loaded_arr = np.load(buffer, allow_pickle=False)
-
-        np.testing.assert_array_equal(arr_2d, loaded_arr)
-
-        # Test dtype preservation
-        assert loaded_arr.dtype == np.float32
-
-        logger.info("Basic numpy 2.0 operations test passed")
diff --git a/tests/unit/sagemaker/jumpstart/constants.py b/tests/unit/sagemaker/jumpstart/constants.py
index 1c4c5dfd87..ae02c597da 100644
--- a/tests/unit/sagemaker/jumpstart/constants.py
+++ b/tests/unit/sagemaker/jumpstart/constants.py
@@ -5361,7 +5361,7 @@
             "safetensors==0.3.1",
             "sagemaker_jumpstart_huggingface_script_utilities==1.1.3",
             "sagemaker_jumpstart_script_utilities==1.1.9",
-            "scipy==1.13.0",
+            "scipy==1.11.1",
             "termcolor==2.3.0",
             "texttable==1.6.7",
             "tokenize-rt==5.1.0",
@@ -7870,7 +7870,7 @@
             "safetensors==0.3.1",
             "sagemaker_jumpstart_huggingface_script_utilities==1.1.3",
             "sagemaker_jumpstart_script_utilities==1.1.9",
-            "scipy==1.13.0",
+            "scipy==1.11.1",
             "termcolor==2.3.0",
             "texttable==1.6.7",
             "tokenize-rt==5.1.0",
@@ -8346,7 +8346,7 @@
             "safetensors==0.3.1",
             "sagemaker_jumpstart_huggingface_script_utilities==1.1.3",
             "sagemaker_jumpstart_script_utilities==1.1.9",
-            "scipy==1.13.0",
+            "scipy==1.11.1",
             "termcolor==2.3.0",
             "texttable==1.6.7",
             "tokenize-rt==5.1.0",
@@ -12095,7 +12095,7 @@
         "inference_vulnerabilities": [],
         "training_vulnerable": False,
         "training_dependencies": [
-            "numpy>=2.0.0",
+            "numpy==1.23.1",
             "opencv_python==4.7.0.68",
             "sagemaker_jumpstart_prepack_script_utilities==1.0.0",
         ],
@@ -14360,10 +14360,10 @@
             "jmespath==1.0.1",
             "jsonschema==4.17.3",
             "multiprocess==0.70.14",
-            "numpy>=2.0.0",
+            "numpy==1.26.4",
             "oscrypto==1.3.0",
             "packaging==23.1",
-            "pandas>=2.3.0",
+            "pandas==2.0.2",
             "pathos==0.3.0",
             "pkgutil-resolve-name==1.3.10",
             "platformdirs==3.8.0",
@@ -14884,10 +14884,10 @@
             "jmespath==1.0.1",
             "jsonschema==4.17.3",
             "multiprocess==0.70.14",
-            "numpy>=2.0.0",
+            "numpy==1.24.3",
             "oscrypto==1.3.0",
             "packaging==23.1",
-            "pandas>=2.3.0",
+            "pandas==2.0.2",
             "pathos==0.3.0",
             "pkgutil-resolve-name==1.3.10",
             "platformdirs==3.8.0",
@@ -17400,7 +17400,7 @@
             "safetensors==0.3.1",
             "sagemaker_jumpstart_huggingface_script_utilities==1.1.4",
             "sagemaker_jumpstart_script_utilities==1.1.9",
-            "scipy==1.13.0",
+            "scipy==1.11.1",
             "termcolor==2.3.0",
             "texttable==1.6.7",
             "tokenize-rt==5.1.0",
diff --git a/tests/unit/sagemaker/serve/detector/test_dependency_manager.py b/tests/unit/sagemaker/serve/detector/test_dependency_manager.py
index 2cbc93422c..52e9822e57 100644
--- a/tests/unit/sagemaker/serve/detector/test_dependency_manager.py
+++ b/tests/unit/sagemaker/serve/detector/test_dependency_manager.py
@@ -21,8 +21,8 @@
 
 DEPENDENCY_LIST = [
     "requests==2.26.0",
-    "numpy>=2.0.0",
-    "pandas>=2.3.0",
+    "numpy==1.26.4",
+    "pandas<=1.3.3",
     "matplotlib<3.5.0",
     "scikit-learn>0.24.1",
     "Django!=4.0.0",
@@ -34,8 +34,8 @@
 
 EXPECTED_DEPENDENCY_MAP = {
     "requests": "==2.26.0",
-    "numpy": ">=2.0.0",
-    "pandas": ">=2.3.0",
+    "numpy": "==1.26.4",
+    "pandas": "<=1.3.3",
     "matplotlib": "<3.5.0",
     "scikit-learn": ">0.24.1",
     "Django": "!=4.0.0",