Week 2: Storage, Databases & Project Inception

1. Objectives

  • Technical Core: Deep dive into AWS Storage (S3, EBS) and Database (RDS) services; implement a practical file upload system.
  • Project Kick-off: Finalize the proposal for “Website Security Baseline Assessment Platform” – a portable tool for quick security risk assessment.
  • Upskilling: Enhance NLP knowledge through Coursera certifications to support the AI aspect of the internship.

2. Weekly Tasks Breakdown

DayMain TaskDetailsStatus
MonStorage & Databases- Study S3 (Buckets, lifecycle policies).
- Study EBS (Volumes, snapshots) & RDS (Setup, management).
- Source: Week 2 Curriculum.		Completed
TueHands-on Lab- Build file upload system:
 + Configured S3 bucket for storage.
 + Connected backend to S3 for file handling.		Completed
WedProject Proposal- Drafted Proposal: Defined scope for “Website Security Baseline Assessment Platform”.
- Key Features Defined:
 + Basic checks: HTTPS/SSL, Robots.txt.
 + Vulnerability scanning: SQL Injection, XSS, File Uploads.
- Architecture: Designed portable core (Local/VPS/AWS) independent of cloud infra.
- Link to Proposal		Completed
ThuAI/NLP Certification- Completed 2 DeepLearning.AI courses on Coursera:
 1. NLP with Attention Models.
 2. NLP with Classification and Vector Spaces.
- Cert 1 · Cert 2		Completed
FriAWS Specialization- Found and started planning for “AWS Fundamentals Specialization”.
- Weekly team review & retrospectives.
- AWS Fundamentals Specialization		In Progress

3. Key Results (Deliverables)

Technical & Hands-on:

  • Storage Mastery: Successfully understood and managed S3 Lifecycles and EBS Snapshots.
  • Practical Implementation: Built a functional File Upload System utilizing AWS S3.

Project (Team TheBois):

  • Proposal Finalized: Completed the proposal for Website Security Baseline Assessment Platform.
  • Defined Scope: Agreed on focusing on “Baseline Assessment” (pre-pentest) to identify common risks like Injection, Broken Access Control, and Security Misconfiguration.
  • Architecture Strategy: Decided on a flexible architecture where AWS is used for storage/logging, but the core scanning logic remains portable.

Certifications & Learning:

  • Coursera Completion: Earned 2 certificates from DeepLearning.AI (completed Jan 15, 2026):
    • Natural Language Processing with Attention Models
    • Natural Language Processing with Classification and Vector Spaces

4. Issues & Solutions

  • Issue: Difficulty in defining the legal scope for scanning external websites.
  • Solution: Clarified in proposal — “Only perform with explicit written consent.”