Week 6 Worklog

Week 6 Objectives:

  • Continue getting familiar with the internship environment and AWS learning tools.
  • Start the AWS Fundamentals specialization on Coursera to strengthen foundational knowledge.
  • Learn how to draw AWS architectures with draw.io and study sample architectures (RAG Chatbot, AI Agents) from AWS official guidance.
  • Build the project’s first architecture version using the Amazon Q CLI to prepare for hands-on deployment.

Tasks to carry out this week:

DayTasksStart dateCompletion dateReference Material
2- Access the AWS Fundamentals Specialization on Coursera.12/10/202512/10/2025Coursera
3- Watch introductory AWS video series on YouTube
  Video Series
- Learn to draw AWS architecture on draw.io
- Read the blog: Conversational Chatbots using Retrieval Augmented Generation on AWS		13/10/202513/10/2025YouTube, AWS Blog
4- Review AI Agents architecture
  Advanced Multimodal Chatbot with Speech-to-Speech on AWS
- Experiment with using RDS to deploy a local SQL Server DB		14/10/202514/10/2025AWS Solutions Library
5- Attend the WORKSHOP “DATA SCIENCE ON AWS” – take notes on data analytics and ML pipeline topics relevant to AWS15/10/202515/10/2025FPT Workshop - Data Science on AWS
6- Create the First Architecture Version using Amazon Q CLI
- Save and present the diagram on Notion for internal team review		16/10/202516/10/2025Notion - Pre Architecture

Week 6 Achievements:

  • Learned how to draw and represent AWS architectures using draw.io.
  • Understood the structure and components of RAG-based chatbots and AI Agents architectures.
  • Experimented with connecting RDS to a local SQL Server in preparation for real DB deployment.
  • Attended the “Data Science on AWS” workshop and expanded knowledge of data exploitation and ML pipelines on AWS.
  • Completed the project’s first architecture version with Amazon Q CLI and stored it on Notion.