Week 6 Worklog

Week 6 Objectives:

  • Continue exploring the internship environment and familiarize with AWS learning resources.
  • Begin the AWS Fundamentals Specialization on Coursera to strengthen foundational cloud knowledge.
  • Learn how to design AWS architectures using draw.io and review sample reference architectures (RAG Chatbot, AI Agents) from AWS official guidance.
  • Develop the project’s initial architecture draft using the Amazon Q CLI, preparing for hands-on deployment.

Tasks for This Week:

DayTasksStart DateCompletion DateReference Material
2- Access and navigate the AWS Fundamentals Specialization on Coursera.12/10/202512/10/2025Coursera
3- Watch introductory AWS video tutorials on YouTube
 
- Practice drawing AWS architecture diagrams using draw.io
- Study the blog: Conversational Chatbots using RAG on AWS		13/10/202513/10/2025YouTube, AWS Blog
Video Series
4- Review AI Agents reference architecture
- Experiment with deploying a local SQL Server using RDS		14/10/202514/10/2025AWS Solutions Library
  Advanced Multimodal Chatbot with Speech-to-Speech on AWS
5- Attend the “Data Science on AWS” workshop
  + Take notes on AWS data analytics, ML pipelines, and relevant services		15/10/202515/10/2025FPT Workshop - Data Science on AWS
6- Build the first draft of the project architecture using Amazon Cost calculator
- Save and document the diagram on Notion for internal team feedback		16/10/202516/10/2025

Week 6 Achievements:

  • Learned how to create and visually represent AWS architectures using draw.io.
  • Gained understanding of RAG-based chatbot structures and AI Agent architectures.
  • Practiced connecting a local SQL Server to AWS RDS, preparing for production deployment.
  • Expanded knowledge of data analytics and ML pipelines through participation in the “Data Science on AWS” workshop.
  • Completed the initial project architecture using Amazon Q CLI and stored the design in Notion for internal review.