diff --git a/Labs/Airflow_Labs/Lab_1/Dockerfile b/Labs/Airflow_Labs/Lab_1/Dockerfile
new file mode 100644
index 000000000..1f757723b
--- /dev/null
+++ b/Labs/Airflow_Labs/Lab_1/Dockerfile
@@ -0,0 +1,18 @@
+FROM apache/airflow:2.5.1-python3.7
+
+# Install as airflow user (not root)
+USER airflow
+
+# Install packages with --user flag to ensure they go to the right location
+RUN pip install --user \
+    pandas \
+    scikit-learn \
+    numpy \
+    matplotlib \
+    seaborn
+    # Any additional packages that might be needed.
+
+# Verify installations
+RUN python -c "import pandas; print('pandas:', pandas.__version__)" && \
+    python -c "import sklearn; print('sklearn:', sklearn.__version__)" && \
+    python -c "import numpy; print('numpy:', numpy.__version__)"
\ No newline at end of file
diff --git a/Labs/Airflow_Labs/Lab_1/README.md b/Labs/Airflow_Labs/Lab_1/README.md
index 6defefba0..4395b98fd 100755
--- a/Labs/Airflow_Labs/Lab_1/README.md
+++ b/Labs/Airflow_Labs/Lab_1/README.md
@@ -125,7 +125,11 @@ Cloud
     AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
 
     # Additional python package
-    _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:- pandas }
+    # 1. edit the Dockerfile with the packages of your interest
+    # 2. Replace image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:3.1.0} with
+    image: my-airflow:3.1.0
+    # 3. build your image
+    docker build --no-cache -t my-airflow:3.1.0
 
     # Output dir
     - ${AIRFLOW_PROJ_DIR:-.}/working_data:/opt/airflow/working_data