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Master AI Challenge is a repository with two hands-on coding challenges focused on Artificial Intelligence and automation. Designed for learners and developers, these challenges aim to strengthen skills in Python, Shell scripting, data processing, and workflow automation. Fork the repo, solve the challenges, and enhance your AI and coding expertise

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🤖 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/
🏆 Ultimate Mastery Challenge Build a full-stack AI enterprise system Full-stack, AI, automation, CI/CD, monitoring Python, Shell, Azure, Copilot Ultimate-Matery-Challenge/

🏢 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/

🏆 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/


📝 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

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.

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.

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.

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.

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, AI App and Software Developer Global Black Belt at Microsoft Americas.


Challenge yourself, grow your skills, and have fun!


About

Master AI Challenge is a repository with two hands-on coding challenges focused on Artificial Intelligence and automation. Designed for learners and developers, these challenges aim to strengthen skills in Python, Shell scripting, data processing, and workflow automation. Fork the repo, solve the challenges, and enhance your AI and coding expertise

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