Welcome to the Sudo-i Bootcamp, organized by the IEEE Mansoura Computer Society Chapter! This intensive event is designed to transform you into a well-rounded developer by focusing on industry-relevant skills and best practices. Whether you're a beginner or an intermediate coder, you'll gain hands-on experience with tools and methodologies used in modern software engineering.
Key Themes:
- 🧹 Clean Code & SOLID Principles
- 🛠️ DevOps & CI/CD Pipelines
- ☁️ Cloud Computing & Microservices
- 🤖 OOP, Design Patterns & Debugging
- 🐋 Docker & Containerization
- 📊 SQL/NoSQL Databases & System Design
| Session | Key Skills |
|---|---|
| 🤖 AI-Powered App Session | Intro to LLMs, Building Chatbots, using open source models, Context-aware AI app |
| 🐋 Containerization Session | Docker fundamentals, Docker Compose, Container best practices |
| 🛠️ DevOps Session | CI/CD pipelines with GitHub Actions, Infrastructure as Code (Terraform) |
| ☁️ Cloud Session | AWS/Azure services, Serverless architectures, Cloud security |
| 📊 Bridging DE & DS Lifecycle | Data pipelines (Airflow), Feature stores, ML workflow orchestration |
The bootcamp culminates in a comprehensive final project that integrates all learned concepts into a real-world application. Teams will build an end-to-end predictive maintenance platform using modern cloud-native technologies and best practices.
- Cloud-native solution for equipment failure prediction
- Real-time data processing and analysis
- Containerized microservices architecture
- DevOps automation and CI/CD implementation
- Optional ML pipeline integration
- Frontend Dashboard (React + Material-UI)
- Backend Microservices (Node.js/Python)
- Data Processing Pipeline
- Infrastructure as Code
- Monitoring and Observability
- Teams of up to 6 members
- Defined roles and responsibilities
- Regular progress reporting
- Instructor mentorship
- Week 1-2: Architecture and Setup
- Week 3-4: Core Implementation
- Week 5: Testing and Documentation
- Week 6: Final Presentation
For detailed project specifications, requirements, and submission guidelines, see Project Documentation.
| Week | Focus Area | Labs & Projects |
|---|---|---|
| 1 | AI & Data Lifecycle | Intro to LLMs, Building Chatbots, using open source models |
| 2 | Containerization | Dockerize applications, Docker Compose setup |
| 3 | DevOps Practices | CI/CD Pipeline with GitHub Actions, Terraform infrastructure |
| 4 | Data Engineering | Data pipelines (Airflow), Feature stores, ML workflow orchestration |
| 5 | Cloud Foundations | Deploy serverless API on AWS/Azure, Cloud security workshop |
| 6 | Final Project | End-to-end implementation of learned concepts |
sudo-i-bootcamp-2024/
├── labs/ # Hands-on coding exercises and mini-projects
├── lectures/ # Slide decks and tutorial materials
├── final-project/ # Capstone project (IoT Analytics Platform)
│ ├── backend/ # Microservices and API implementations
│ ├── infrastructure/ # Terraform/IaC configurations
│ └── pipelines/ # CI/CD workflow definitions
├── resources/ # Cheatsheets, articles, and tooling guides
└── README.md # Central documentation hub
This repository is licensed under the MIT License.
- Lead Architect: @AhmedAdelWafdy7
- Core Mentors: @Maryam-Sheriff,@Ahmed-Hereiz, @MohamedElweza, @NaderAshour
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