Welcome to my AWS PartyRock portfolio.
This repository showcases projects and case studies developed using AWS PartyRock, Amazon's no-code generative AI platform. These projects demonstrate practical applications of generative AI, prompt engineering, and AI-assisted data analysis.
This repository contains two complementary projects:
An AI-powered cybersecurity assistant designed to support security awareness, risk identification, and incident guidance through natural language interactions.
A practical case study demonstrating how AWS PartyRock can be used to analyze structured datasets, identify trends, summarize findings, and generate actionable insights using generative AI.
Focus Areas
- AI Application Development
- Cybersecurity
- Prompt Engineering
- User Interaction Design
- Generative AI
Focus Areas
- AI-assisted Data Analysis
- Prompt Engineering
- Exploratory Data Analysis
- Insight Generation
- Data Interpretation
- AWS PartyRock
- Amazon Bedrock Foundation Models
- Generative AI
- Prompt Engineering
- CSV Dataset Analysis
AWS-PartyRock-Projects/
│
├── CyberGuardian-AI-Pro/
├── AI-Data-Analysis-Case-Study/
├── README.md
├── CHANGELOG.md
├── LICENSE
└── .gitignore
- AWS PartyRock
- Generative AI
- Prompt Engineering
- AI Application Development
- AI-assisted Data Analysis
- Natural Language Interfaces
- Documentation
- Technical Communication
- Additional AI applications
- More real-world case studies
- Enhanced prompt engineering techniques
- Expanded data analysis examples
This project is licensed under the MIT License.
Luthando Yekani
Cybersecurity • Artificial Intelligence • Cloud Computing • Automation