Week 10 Worklog

Week 10 Objectives:

  • Integrate Serverless Framework into Project 1 for local and production environments.
  • Implement local AWS services and backend functions with frontend integration.
  • Research AI/ML services for Project 1 and participate in AWS Cloud Mastery Series event.
  • Explore advanced AI features like Bedrock AgentCore and pretrained services.

Tasks to be carried out this week:

DayTaskStart DateCompletion DateReference Material
2- Project 1: Apply Serverless Framework into Project 1
- Project 1: Init and Config Serverless Framework Module in Project 1 (with serverless.yaml)
- Project 1: Design a flexible project environment to automatically change between Dev and Production Stage (Serverless Framework on Local or real AWS Service on Deployed Production)		10/11/202510/11/2025
3- Project 1: Explore how to use AWS NoSQL Workbench
- Project 1: Implement and Connect with Local DynamoDB (Serverless Framework)
- Project 1: Implement and Connect with Local S3 Bucket (Serverless Framework)		11/11/202511/11/2025
4- Project 1: Create backend functions to implement on Local API Gateway and Lambda (Serverless Framework)
- Project 1: Create Lib (Frontend) with Axios to interact (handle) with Backend
Create Hook for Frontend to call Backend API		12/11/202512/11/2025
5- Project 1: Fix bugs and improve Frontend
- Project 1: Test backend functions by Interacting with frontend
13/11/202513/10/2025
6- Implement researching about cost, latency and complexity comparing between AWS SageMaker and AWS Bedrock to determine the AI/ML Service for Project 1’ s AI Layer14/11/202514/11/2025
7- Event: AWS Cloud Mastery Series #1: AI/ML/GenAI on AWS
- Write event Recap
- Explore about AWS Bedrock AgentCore (2025 AWS’s new Feature)
- Explore to understand the different between “Building AI pipeline with Lambdas, API Bedrock Models and Step Function” and “Lamda function interacts with API Bedrock AgentCore”
- Explore about AWS Pretrained AI/ML Services and understand their own features		15/11/202515/11/2025

Week 10 Achievements:

  • Applied Serverless Framework to Project 1.

  • Initialized and configured Serverless Framework module with serverless.yaml.

  • Designed flexible environment for switching between dev (local) and production (AWS) stages.

  • Explored AWS NoSQL Workbench usage.

  • Implemented and connected local DynamoDB in Project 1 using Serverless Framework.

  • Implemented and connected local S3 bucket in Project 1 using Serverless Framework.

  • Created backend functions for local API Gateway and Lambda.

  • Developed frontend library with Axios for backend interaction.

  • Created hooks in frontend for calling backend APIs.

  • Fixed bugs and improved frontend in Project 1.

  • Tested backend functions through frontend interactions.

  • Researched cost, latency, and complexity of AWS SageMaker vs. Bedrock for Project 1 AI layer.

  • Attended AWS Cloud Mastery Series #1 on AI/ML/GenAI.

  • Wrote recap of the AWS Cloud Mastery Series event.

  • Explored AWS Bedrock AgentCore features.

  • Understood differences between Lambda/Step Functions AI pipelines and Lambda-Bedrock AgentCore interactions.

  • Explored AWS pretrained AI/ML services and their features.

  • Enhanced skills in serverless integration, AI service selection, and event-driven AI development.