Week 4 Worklog

Week 4 Objectives:

  • Research ideas for Project 1 and explore serverless computing with AWS Lambda.
  • Learn database essentials using Amazon RDS and practice deployments.
  • Explore AWS Support and set up development environments with AWS Toolkit.
  • Investigate AI capabilities with SageMaker and EC2 for Project 1.
  • Explore frontend frameworks and integrate AWS services for practical applications.

Tasks to be carried out this week:

DayTaskStart DateCompletion DateReference Material
2- Conduct research to come up with ideas for Project 1
- Explore about AWS Lambda
- Practice:
  + Create Start&Stop Function for EC2
29/09/202529/09/2025https://000022.awsstudygroup.com/5-createlambdafunction/
3- Database Essentials with Amazon Relational Database Service (RDS)
- Pratice:
  + Create EC2 Instance
  + Create RDS Instance
  + Deploy application		30/09/202530/09/2025https://000005.awsstudygroup.com/
4- Explore about NextJS/ UI Design (for Project 1)
- Explore about AWS Support
- Development Environment with AWS Toolkit for VS Code
- Practice:
  + Create Support Case
  + Setup/Configure VS Code DevEnv with AWS Toolkit		01/10/202501/10/2025https://000087.awsstudygroup.com/
5- Explore about NextJS/ UI Design (for Project 1)
- Explore about AWS SageMaker(for Project 1)
- Explore about EC2’s ability to host AI Model (for Project 1)		02/10/202502/10/2025
6- Event: AI-Driven Development Session with Amazon Q Developer & Kiro
- Write Event Recap for AI-Driven Development Session with Amazon Q Developer & Kiro
- Explore about NextJS/ UI Design (for Project 1)
- Explore about Animated React(for Project 1)
- Explore about AWS Lambda + API Gateway
- Practice:
 + Create AWS Lambda function to create thumbnail for a photo as soon as it has been posted to S3 bucket
  + Create an API (API Gateway) with methods that built on AWS Lambda Function		03/10/202503/10/2025

Week 4 Achievements:

  • Gained knowledge of AWS Lambda for serverless computing.

  • Developed Lambda functions to automate EC2 start/stop operations.

  • Generated ideas for Project 1 through research.

  • Learned database essentials with Amazon RDS.

  • Practiced creating EC2 and RDS instances.

  • Deployed an application integrating EC2 and RDS.

  • Explored AWS Support features.

  • Set up development environment with AWS Toolkit in VS Code.

  • Practiced creating a support case.

  • Configured VS Code with AWS Toolkit for development.

  • Explored AWS SageMaker for AI workloads in Project 1.

  • Investigated EC2 hosting for AI models in Project 1.

  • Learned about Next.js for Project 1.

  • Explored Animate React for animations in Project 1.

  • Gained understanding of AWS Lambda with API Gateway.

  • Scaffolded a personal tech blog using Next.js and Animate React.

  • Created Lambda function for automatic thumbnail generation on S3 uploads.

  • Built an API using API Gateway integrated with Lambda functions.

  • Enhanced skills in serverless architectures, databases, and AI integration.