diff --git a/.github/workflows/azureml_pipelines.yml b/.github/workflows/azureml_pipelines.yml
index 2efa112e..364b4cc0 100644
--- a/.github/workflows/azureml_pipelines.yml
+++ b/.github/workflows/azureml_pipelines.yml
@@ -34,7 +34,7 @@ jobs:
 
     - name: Install dependencies
       run: |
-        python -m pip install --upgrade pip==21.3.1
+        python -m pip install --upgrade pip==22.2.2
         pip install flake8==3.9.1 pytest~=6.2 pytest-cov~=2.11
         sudo apt-get install libopenmpi-dev
         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
diff --git a/.github/workflows/benchmark_scripts.yml b/.github/workflows/benchmark_scripts.yml
index 35b88423..75f2e1f6 100644
--- a/.github/workflows/benchmark_scripts.yml
+++ b/.github/workflows/benchmark_scripts.yml
@@ -42,7 +42,7 @@ jobs:
     - name: Install dependencies
       run: |
         sudo apt-get install libopenmpi-dev
-        python -m pip install --upgrade pip==21.3.1
+        python -m pip install --upgrade pip==22.2.2
         pip install flake8==3.9.1 pytest~=6.2 pytest-cov~=2.11
         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
         # hotfix for azurecli issue
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 2ce8b02d..9ed1a320 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -32,7 +32,7 @@ jobs:
 
     - name: pip install
       run: |
-        python -m pip install --upgrade pip==21.3.1
+        python -m pip install --upgrade pip==22.2.2
 
         python -m pip install markdown-include==0.7.0 mkdocstrings==0.19.0 mkdocstrings-python==0.7.1 mkdocs-material==8.4.2 livereload==2.6.3
 
diff --git a/docker/lightgbm-custom/v321_patch_cpu_mpi_build.dockerfile b/docker/lightgbm-custom/v321_patch_cpu_mpi_build.dockerfile
index d8b46623..7f3748d3 100644
--- a/docker/lightgbm-custom/v321_patch_cpu_mpi_build.dockerfile
+++ b/docker/lightgbm-custom/v321_patch_cpu_mpi_build.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210615.v1
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.cpu.mpi.build.version="3.2.1-patch/20211109.1"
 
 # Those arguments will NOT be used by AzureML
@@ -54,7 +54,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-custom/v330_patch_cpu_mpi_build.dockerfile b/docker/lightgbm-custom/v330_patch_cpu_mpi_build.dockerfile
index 7041380f..a7233019 100644
--- a/docker/lightgbm-custom/v330_patch_cpu_mpi_build.dockerfile
+++ b/docker/lightgbm-custom/v330_patch_cpu_mpi_build.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210615.v1
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.cpu.mpi.build.version="3.3.0-patch/20211109.1"
 
 # Those arguments will NOT be used by AzureML
@@ -54,7 +54,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-v3.2.1/linux_cpu_mpi_build.dockerfile b/docker/lightgbm-v3.2.1/linux_cpu_mpi_build.dockerfile
index 67eb7d88..6c05ad28 100644
--- a/docker/lightgbm-v3.2.1/linux_cpu_mpi_build.dockerfile
+++ b/docker/lightgbm-v3.2.1/linux_cpu_mpi_build.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20211012.v1
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.cpu.mpi.build.version="3.2.1/20211109.1"
 
 # Those arguments will NOT be used by AzureML
@@ -49,7 +49,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-v3.2.1/linux_cpu_mpi_pip.dockerfile b/docker/lightgbm-v3.2.1/linux_cpu_mpi_pip.dockerfile
index 7f415f76..b42984f0 100644
--- a/docker/lightgbm-v3.2.1/linux_cpu_mpi_pip.dockerfile
+++ b/docker/lightgbm-v3.2.1/linux_cpu_mpi_pip.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210615.v1
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.cpu.mpi.pip.version="3.2.1/20211108.1"
 
 # Those arguments will NOT be used by AzureML
@@ -10,7 +10,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-v3.2.1/linux_cuda_build.dockerfile b/docker/lightgbm-v3.2.1/linux_cuda_build.dockerfile
index 1f85db8b..58104eb0 100644
--- a/docker/lightgbm-v3.2.1/linux_cuda_build.dockerfile
+++ b/docker/lightgbm-v3.2.1/linux_cuda_build.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.1-cudnn7-ubuntu18.04
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.6-cudnn8-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.cuda.build.version="3.2.1/20211108.1"
 
 # Those arguments will NOT be used by AzureML
@@ -73,7 +73,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-v3.2.1/linux_gpu_build.dockerfile b/docker/lightgbm-v3.2.1/linux_gpu_build.dockerfile
index e3d5cc01..047f985a 100644
--- a/docker/lightgbm-v3.2.1/linux_gpu_build.dockerfile
+++ b/docker/lightgbm-v3.2.1/linux_gpu_build.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.1-cudnn7-ubuntu18.04
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.6-cudnn8-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.gpu.build.version="3.2.1/20211108.1"
 
 # Those arguments will NOT be used by AzureML
@@ -10,7 +10,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-v3.2.1/linux_gpu_pip.dockerfile b/docker/lightgbm-v3.2.1/linux_gpu_pip.dockerfile
index a8e6dea7..4cba3571 100644
--- a/docker/lightgbm-v3.2.1/linux_gpu_pip.dockerfile
+++ b/docker/lightgbm-v3.2.1/linux_gpu_pip.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.1-cudnn7-ubuntu18.04
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.6-cudnn8-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.gpu.pip.version="3.2.1/20211108.1"
 # Those arguments will NOT be used by AzureML
 # they are here just to allow for lightgbm-benchmark build to actually check
@@ -9,7 +9,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-v3.2.1/windows_cpu_pip.dockerfile b/docker/lightgbm-v3.2.1/windows_cpu_pip.dockerfile
index cf9f2a6b..9e984465 100644
--- a/docker/lightgbm-v3.2.1/windows_cpu_pip.dockerfile
+++ b/docker/lightgbm-v3.2.1/windows_cpu_pip.dockerfile
@@ -10,7 +10,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 #ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-v3.3.0/linux_cpu_mpi_build.dockerfile b/docker/lightgbm-v3.3.0/linux_cpu_mpi_build.dockerfile
index 4f66f5a0..09b75851 100644
--- a/docker/lightgbm-v3.3.0/linux_cpu_mpi_build.dockerfile
+++ b/docker/lightgbm-v3.3.0/linux_cpu_mpi_build.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20211012.v1
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.cpu.mpi.build.version="3.3.0/20211115.1"
 
 # Those arguments will NOT be used by AzureML
@@ -49,7 +49,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-v3.3.0/linux_cpu_mpi_pip.dockerfile b/docker/lightgbm-v3.3.0/linux_cpu_mpi_pip.dockerfile
index 59ca3f32..e0d9056c 100644
--- a/docker/lightgbm-v3.3.0/linux_cpu_mpi_pip.dockerfile
+++ b/docker/lightgbm-v3.3.0/linux_cpu_mpi_pip.dockerfile
@@ -10,7 +10,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/docker/lightgbm-v3.3.0/windows_cpu_pip.dockerfile b/docker/lightgbm-v3.3.0/windows_cpu_pip.dockerfile
index f40508e0..4d974d65 100644
--- a/docker/lightgbm-v3.3.0/windows_cpu_pip.dockerfile
+++ b/docker/lightgbm-v3.3.0/windows_cpu_pip.dockerfile
@@ -10,7 +10,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 #ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/src/scripts/data_processing/generate_data/conda_env.yaml b/src/scripts/data_processing/generate_data/conda_env.yaml
index 223c34f7..d454ecdb 100644
--- a/src/scripts/data_processing/generate_data/conda_env.yaml
+++ b/src/scripts/data_processing/generate_data/conda_env.yaml
@@ -3,7 +3,7 @@ channels:
 - defaults
 dependencies:
 - python=3.8
-- pip=20.0
+- pip=22.2.2
 - pip:
   - numpy==1.21.2
   - scikit-learn==0.24.2
diff --git a/src/scripts/data_processing/lightgbm_data2bin/conda_env.yml b/src/scripts/data_processing/lightgbm_data2bin/conda_env.yml
index 2c403f37..b7f65aba 100644
--- a/src/scripts/data_processing/lightgbm_data2bin/conda_env.yml
+++ b/src/scripts/data_processing/lightgbm_data2bin/conda_env.yml
@@ -3,7 +3,7 @@ channels:
 - defaults
 dependencies:
 - python=3.8
-- pip=20.0
+- pip=22.2.2
 - pip:
   - numpy==1.21.2
   - scikit-learn==0.24.2
diff --git a/src/scripts/data_processing/partition_data/conda_env.yml b/src/scripts/data_processing/partition_data/conda_env.yml
index 39dabefc..395ab493 100644
--- a/src/scripts/data_processing/partition_data/conda_env.yml
+++ b/src/scripts/data_processing/partition_data/conda_env.yml
@@ -3,7 +3,7 @@ channels:
 - defaults
 dependencies:
 - python=3.8
-- pip=20.0
+- pip=22.2.2
 - pip:
   - numpy==1.21.2
   - scikit-learn==0.24.2
diff --git a/src/scripts/inferencing/custom_win_cli/conda_env.yaml b/src/scripts/inferencing/custom_win_cli/conda_env.yaml
index 78eed94f..cd181b8e 100644
--- a/src/scripts/inferencing/custom_win_cli/conda_env.yaml
+++ b/src/scripts/inferencing/custom_win_cli/conda_env.yaml
@@ -3,7 +3,7 @@ channels:
 - defaults
 dependencies:
 - python=3.8
-- pip=20.0
+- pip=22.2.2
 - pip:
   - azureml-defaults==1.35.0
   - azureml-mlflow==1.35.0
diff --git a/src/scripts/inferencing/lightgbm_c_api/default.dockerfile b/src/scripts/inferencing/lightgbm_c_api/default.dockerfile
index f50022c5..4f22ca78 100644
--- a/src/scripts/inferencing/lightgbm_c_api/default.dockerfile
+++ b/src/scripts/inferencing/lightgbm_c_api/default.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20211012.v1
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.cpu.mpi.build.version="3.3.0/20211115.1"
 
 # Those arguments will NOT be used by AzureML
@@ -49,7 +49,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/src/scripts/inferencing/lightgbm_python/default.dockerfile b/src/scripts/inferencing/lightgbm_python/default.dockerfile
index 419a5444..6ceda711 100644
--- a/src/scripts/inferencing/lightgbm_python/default.dockerfile
+++ b/src/scripts/inferencing/lightgbm_python/default.dockerfile
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210615.v1
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20221129.v1
 LABEL lightgbmbenchmark.linux.cpu.mpi.pip.version="3.3.0/20211210.1"
 
 # Those arguments will NOT be used by AzureML
@@ -10,7 +10,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/src/scripts/inferencing/lightgbm_ray/default.dockerfile b/src/scripts/inferencing/lightgbm_ray/default.dockerfile
index 67a87a2b..10b639dd 100644
--- a/src/scripts/inferencing/lightgbm_ray/default.dockerfile
+++ b/src/scripts/inferencing/lightgbm_ray/default.dockerfile
@@ -5,15 +5,15 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
 
 # Install pip dependencies
 RUN HOROVOD_WITH_TENSORFLOW=1 \
-    pip install 'pandas>=1.1,<1.2' \
-                'numpy>=1.10,<1.20' \
+    pip install 'pandas==1.5.2' \
+                'numpy==1.23.5' \
                 'matplotlib==3.4.3' \
                 'scipy~=1.5.0' \
                 'scikit-learn~=0.24.1' \
@@ -22,5 +22,6 @@ RUN HOROVOD_WITH_TENSORFLOW=1 \
                 'azureml-mlflow==1.35.0' \
                 'azureml-telemetry==1.35.0' \
                 'mpi4py==3.1.1' \
-                'ray==1.9.2' \
-                'lightgbm-ray==0.1.2'
+                'protobuf==3.20.3' \
+                'ray==2.1.0' \
+                'lightgbm-ray==0.1.8'
diff --git a/src/scripts/inferencing/treelite_python/conda_env.yaml b/src/scripts/inferencing/treelite_python/conda_env.yaml
index b31a7368..3d04b774 100644
--- a/src/scripts/inferencing/treelite_python/conda_env.yaml
+++ b/src/scripts/inferencing/treelite_python/conda_env.yaml
@@ -3,7 +3,7 @@ channels:
 - defaults
 dependencies:
 - python=3.8
-- pip=20.0
+- pip=22.2.2
 - pip:
   - azureml-defaults==1.35.0
   - azureml-mlflow==1.35.0
diff --git a/src/scripts/model_transformation/treelite_compile/conda_env.yaml b/src/scripts/model_transformation/treelite_compile/conda_env.yaml
index b31a7368..3d04b774 100644
--- a/src/scripts/model_transformation/treelite_compile/conda_env.yaml
+++ b/src/scripts/model_transformation/treelite_compile/conda_env.yaml
@@ -3,7 +3,7 @@ channels:
 - defaults
 dependencies:
 - python=3.8
-- pip=20.0
+- pip=22.2.2
 - pip:
   - azureml-defaults==1.35.0
   - azureml-mlflow==1.35.0
diff --git a/src/scripts/sample/conda_env.yaml b/src/scripts/sample/conda_env.yaml
index 0201788d..be0745eb 100644
--- a/src/scripts/sample/conda_env.yaml
+++ b/src/scripts/sample/conda_env.yaml
@@ -3,7 +3,7 @@ channels:
 - defaults
 dependencies:
 - python=3.8
-- pip=20.0
+- pip=22.2.2
 - pip:
   - azureml-defaults==1.35.0
   - azureml-mlflow==1.35.0
diff --git a/src/scripts/training/lightgbm_python/default.dockerfile b/src/scripts/training/lightgbm_python/default.dockerfile
index 6848faf6..8c12a696 100644
--- a/src/scripts/training/lightgbm_python/default.dockerfile
+++ b/src/scripts/training/lightgbm_python/default.dockerfile
@@ -31,7 +31,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/src/scripts/training/lightgbm_ray/default.dockerfile b/src/scripts/training/lightgbm_ray/default.dockerfile
index 67a87a2b..0f0db1aa 100644
--- a/src/scripts/training/lightgbm_ray/default.dockerfile
+++ b/src/scripts/training/lightgbm_ray/default.dockerfile
@@ -5,7 +5,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/src/scripts/training/ray_tune/default.dockerfile b/src/scripts/training/ray_tune/default.dockerfile
index fcf659e6..350d9fd6 100644
--- a/src/scripts/training/ray_tune/default.dockerfile
+++ b/src/scripts/training/ray_tune/default.dockerfile
@@ -7,7 +7,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
diff --git a/src/scripts/training/ray_tune_distributed/default.dockerfile b/src/scripts/training/ray_tune_distributed/default.dockerfile
index 5bb04a04..acba0893 100644
--- a/src/scripts/training/ray_tune_distributed/default.dockerfile
+++ b/src/scripts/training/ray_tune_distributed/default.dockerfile
@@ -7,7 +7,7 @@ ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
 
 # Create conda environment
 RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
-    python=3.8 pip=20.2.4
+    python=3.8 pip=22.2.2
 
 # Prepend path to AzureML conda environment
 ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH