feat(agentcorecode): added samples for agentcore code interpreter

labs/module4/README.md

@@ -1,7 +1,7 @@
 # Module 4: Advanced Agent Features
 
 ## Overview
-This module explores advanced agent capabilities through Model Context Protocol (MCP) and multi-agent systems. You'll learn how to combine different agent frameworks, create specialized tool servers, and build interoperable AI systems that can collaborate effectively.
+This module explores advanced agent capabilities through Model Context Protocol (MCP), multi-agent systems, and secure code execution. You'll learn how to combine different agent frameworks, create specialized tool servers, build interoperable AI systems that can collaborate effectively, and leverage AWS Bedrock AgentCore for secure code interpretation.
 
 ## Learning Objectives
 
@@ -10,6 +10,8 @@ This module explores advanced agent capabilities through Model Context Protocol
 * Mix and match different agent frameworks (PydanticAI, LangChain, etc.)
 * Build collaborative multi-agent systems
 * Integrate third-party MCP servers into your applications
+* Use AWS Bedrock AgentCore Code Interpreter for secure code execution
+* Perform data processing and file operations in sandboxed environments
 
 ## Prerequisites
 
@@ -20,6 +22,16 @@ This module explores advanced agent capabilities through Model Context Protocol
 - AWS Bedrock access
 - Basic understanding of async programming
 
+## Notebooks
+
+### 4_agentcore_tool_code_interpreter.ipynb
+Learn how to use AWS Bedrock AgentCore Code Interpreter for secure code execution:
+- Set up and configure AgentCore Code Interpreter with boto3
+- Execute Python and JavaScript code in secure sandboxes
+- Perform statistical calculations and data analysis
+- Handle file operations (read, write, process)
+- Process large files up to 100MB inline or 5GB via S3
+
 ## Installation
 
 ```bash