Week 9 Worklog

Week 9 Objectives

Find and study reliable resources on Amazon Personalize and Amazon Bedrock, focusing on real-world implementation patterns, data requirements, and integration workflows.
Continue developing the Rafilm platform with emphasis on UI refinement, improved UX flow, and polishing frontend interactions.
Complete hands-on labs in Module 2, reinforcing practical AWS skills through guided exercises.

Day	Task	Date
1	- Gather and review resources on Amazon Personalize (documentation, workshops, sample notebooks) - Identify best practices for data preparation and inference workflows	11/03/2025
2	- Study Amazon Bedrock fundamentals - Review model selection, prompt design, and architecture patterns for LLM inference	11/04/2025
3	- Work on UI improvement for the Rafilm platform - Adjust layouts, refine interactions, improve responsiveness	11/05/2025
4	- Continue UI updates: _ Improve component structure _ Clean up styling _ Optimize user flows for logging, reviewing, and recommendations	11/06/2025
5	- Begin Module 2 Hands-on Labs - Complete first set of exercises and document key learnings	11/07/2025
6	- Continue Module 2 labs - Apply new concepts to strengthen project architecture	11/08/2025

Researched Amazon Personalize:
- Identified data structure, event ingestion, and recommendation workflow requirements.
- Studied training workflow, dataset imports, filters, and real-time inference patterns.
Explored Amazon Bedrock:
- Reviewed model families and prompt engineering considerations.
- Understood orchestration patterns for combining LLM responses with backend logic.
Improved the Rafilm Platform UI:
- Refined layout structure and enhanced visual consistency.
- Improved responsiveness and user flow for movie logging, reviews, and recommendations.
- Enhanced frontend code quality for maintainability.
Completed Module 2 Hands-on Labs:
- Strengthened practical understanding of AWS services through guided labs.
- Applied concepts directly to Rafilm’s serverless architecture.