Content
# 🤖 Mastery AI Challenge
## Welcome to the **Mastery AI Challenge** repository!
Here you will find two practical programming challenges designed to enhance your skills in Artificial Intelligence, automation, and best coding practices.
---
## 📊 Challenge Comparison
| Challenge | Focus | Main Skills | Technologies | Folder |
|-----------|-------|------------|--------------|--------|
| 🏢 **Enterprise AI Transformation** | Modernize legacy systems, build AI microservices | Modernization, microservices, AI, cloud, security | Python, Azure, CI/CD | [`Enterprise-AI-Transformation/`](/Enterprise-AI-Transformation/README.md) |
| 🏆 **Ultimate Mastery Challenge** | Build a full-stack AI enterprise system | Full-stack, AI, automation, CI/CD, monitoring | Python, Shell, Azure, Copilot | [`Ultimate-Matery-Challenge/`](Ultimate-Matery-Challenge/README.md) |
---
## 🏢 Challenge 1: Enterprise AI Transformation
Welcome to the ultimate test of your AI-powered development skills! This comprehensive challenge simulates a real-world enterprise transformation project. Your mission is to transform GlobalRetail Corp's legacy systems into a modern, AI-powered platform:
- Modernize legacy COBOL inventory system
- Build microservices architecture with AI capabilities
- Implement real-time analytics and predictions
- Deploy to Azure with full CI/CD
- Ensure security and compliance
- **Suggested language:** Python (and other relevant technologies)
- **Skills covered:** Enterprise modernization, microservices, AI integration, cloud deployment, security
- **Challenge folder:** [`Enterprise-AI-Transformation/`](/Enterprise-AI-Transformation/README.md)
## 🏆 Challenge 2: Ultimate Mastery Challenge
Welcome to the pinnacle of your AI development journey! This comprehensive assessment validates your mastery across AI development. You will build a complete AI-powered enterprise system, integrating multiple technologies into a production-ready solution:
- Full-stack application with AI features
- Microservices architecture
- AI agents with MCP integration
- Security implementation
- CI/CD pipeline
- Monitoring and observability
- Documentation
- **Suggested language:** Python, Shell Script, and other relevant technologies
- **Skills covered:** Full-stack development, AI integration, microservices, automation, CI/CD, security, monitoring
- **Challenge folder:** [`Ultimate-Matery-Challenge/`](Ultimate-Matery-Challenge/README.md)
---
## 📝 How to participate
1. Fork this repository.
2. Choose one or both challenges and follow the instructions in their respective folders.
3. Submit your solutions via Pull Request.
---
## 🚀 Why Participate?
- Boost your AI and automation skills with real-world challenges
- Build impressive portfolio projects to showcase on LinkedIn or your resume
- Network with a community of passionate developers
- All skill levels welcome—learn as you go!
---
## 📚 What You'll Learn
- Enterprise modernization and cloud deployment
- Full-stack and microservices architecture
- Real-time analytics, automation, and AI integration
- CI/CD, security, and monitoring best practices
---
## 🔗 Related Repositories
### [AI Code Development](https://github.com/paulasilvatech/Code-AI-Dev)
Complete workshop for leveraging AI tools like GitHub Copilot to optimize and improve code quality in enterprise environments. Learn advanced AI-assisted workflows, refactoring techniques, and best practices for integrating AI tools into development processes.
### [Secure Code AI Development](https://github.com/paulasilvatech/Secure-Code-AI-Dev)
Comprehensive workshop for implementing secure coding practices using AI-powered tools, GitHub Advanced Security, and modern DevSecOps workflows. Learn to shift-left security, reduce vulnerabilities significantly, and achieve enterprise-grade security compliance with AI assistance.
### [Agentic Operations & Observability](https://github.com/paulasilvatech/Agentic-Ops-Dev)
Hands-on workshop for implementing comprehensive observability solutions using Azure Monitor, Application Insights, and AI-powered tools. Learn to build modern monitoring systems, implement AI-enhanced observability, and create intelligent DevOps practices for cloud applications.
### [Design-to-Code Development](https://github.com/paulasilvatech/Design-to-Code-Dev)
Comprehensive workshop for implementing design-to-code workflows using AI-powered tools, Figma integration, and modern development practices. Learn to bridge the gap between design and development, creating consistent and maintainable user interfaces with intelligent automation.
### [Figma-to-Code Development](https://github.com/paulasilvatech/Figma-to-Code-Dev)
Hands-on workshop for transforming Figma designs into production-ready code using GitHub Copilot Agent Mode and AI-powered tools. Learn to convert sophisticated designs into fully functional applications, achieving significant time reduction in development cycles with enterprise-grade features.
---
## 👤 Credits
This Challenges was developed by [Paula Silva](https://github.com/paulanunes85), AI App and Software Developer [Global Black Belt at Microsoft Americas](https://www.linkedin.com/in/paulanunes/).
---
> **Challenge yourself, grow your skills, and have fun!**
---
