diff --git a/aws/lambda/README.md b/aws/lambda/README.md
index 84a413b5e3..d95a2c526e 100644
--- a/aws/lambda/README.md
+++ b/aws/lambda/README.md
@@ -1,7 +1,9 @@
 Dockerized AWS Lambda Function with Python and IfcOpenShell
 ===========================================================
 
-This repository provides a Dockerfile and sample code to help you run an AWS Lambda function written in Python and utilizing IfcOpenShell library. 
+This guide provides a Dockerfile and sample code to help you run an AWS Lambda function written in Python and utilizing IfcOpenShell library. 
+
+> Note: This is a superficial guideline, in order to make this work for your usecase you will need a good understanding of other AWS services like SQS, S3, API Gateway etc.
 
 Prerequisites
 -------------
@@ -11,27 +13,32 @@ Make sure you have Docker installed on your machine. You can download Docker fro
 Getting Started
 ---------------
 
-1. Clone this repository to your local machine:
+1. **Clone this repository to your local machine:**
 
-2. Customize the Lambda function code:
+2. **Customize the Lambda function code:**
+   
    - Replace the sample Lambda function code in the `example_handler` directory with your own code.
    - Update the import path in the Dockerfile's `CMD` instruction to match your Lambda function's handler function.
 
-3. Install the required Python packages:
+3. **Install the required Python packages:**
    - Edit the `requirements.txt` file and add any additional dependencies required by your Lambda function.
 
-4. Build the Docker image:
+4. **Build the Docker image:**
 
    ```shell
    $ docker build -t lambda-ifcopenshell .
    ```
 
-5. Run the Docker container:
+5. **Run the Docker container:**
 
     ```shell
    $ docker run lambda-ifcopenshell
     ```
+6. **Test lambda locally**
+    
+    Follow the steps in this [guide](https://docs.aws.amazon.com/lambda/latest/dg/images-test.html)
 
-6. Deploy to lambda
+
+7. **Deploy to lambda**
  
     This is beyond the scope of this example. Please refer to AWS documentation. Some tools that could be useful are - AWS CloudFormaton, AWS CDK, pulumi or terraform