"From your first AI-assisted 'Hello World' to orchestrating enterprise multi-agent systems, this workshop is your comprehensive path to mastering every aspect of AI-powered development." - @paulanunes85
Welcome to the most complete AI development program available. Through 30 progressive modules and 90 hands-on exercises, you'll transform from AI-curious developer to AI development master.
This workshop provides unprecedented depth and breadth:
- 30 Comprehensive Modules: From absolute basics to cutting-edge techniques
- 90 Hands-on Exercises: 3 per module, progressively challenging
- Multiple Learning Tracks: Clear progression for all skill levels
- Real-World Focus: Production-ready skills, not just theory
- Complete Stack Coverage: Frontend, backend, cloud, AI, and enterprise
- GitHub + Azure Native: Leveraging the full Microsoft ecosystem
- Agent Development Focus: Deep dive into AI agents and orchestration
- MCP Integration: Model Context Protocol from basics to advanced
- Enterprise Ready: Including dedicated .NET enterprise track
- Continuous Evolution: Regular updates with latest AI capabilities
The fastest way to start is with GitHub Codespaces - a complete cloud development environment:
# 1. Fork this repository (required for Codespaces)
# 2. Click the green "Code" button
# 3. Select "Codespaces" tab
# 4. Click "Create codespace on main"
# 5. Wait 2-3 minutes for setup
# 6. You're ready to code! 🎉Benefits:
- ✅ No local installation required
- ✅ All tools pre-installed
- ✅ Works on any device with a browser
- ✅ 60 hours free per month
- ✅ Consistent environment for everyone
If you prefer local development:
# Clone the workshop
git clone https://github.com/paulasilvatech/Mastery-AI-Apps-Dev.git
cd Mastery-AI-Apps-Dev
# Run the 5-minute quick start
./scripts/quick-start.sh
# That's it! You're coding with AI! 🎉# For comprehensive environment setup
./scripts/setup-workshop.sh # Linux/macOS
.\scripts\setup-workshop.ps1 # Windows PowerShell (as Admin)
# Verify everything is working
./scripts/validate-prerequisites.sh| Script | Purpose | Usage |
|---|---|---|
| quick-start.sh | Get started in 5 minutes | ./scripts/quick-start.sh |
| setup-workshop.sh | Complete environment setup | ./scripts/setup-workshop.sh |
| validate-prerequisites.sh | Check all requirements | ./scripts/validate-prerequisites.sh |
| cleanup-resources.sh | Clean up Azure resources | ./scripts/cleanup-resources.sh --module 5 |
📖 Complete Scripts Documentation
Master the basics of AI-assisted development
Build complete applications with AI acceleration
Design enterprise architectures and cloud-native systems
Implement production-grade, scalable solutions
Master agent development and orchestration
Advanced enterprise scenarios with .NET focus
Complete review and ultimate challenge
| Module | Title | Focus Area | Duration | Track |
|---|---|---|---|---|
| 1 | Introduction to AI-Powered Development | GitHub Copilot setup, first AI code, basic prompts | 3 hours | 🟢 Fundamentals |
| 2 | GitHub Copilot Core Features | Suggestions, completions, basic patterns | 3 hours | 🟢 Fundamentals |
| 3 | Effective Prompting Techniques | Context optimization, custom instructions | 3 hours | 🟢 Fundamentals |
| 4 | AI-Assisted Debugging and Testing | Test generation, bug detection, TDD | 3 hours | 🟢 Fundamentals |
| 5 | Documentation and Code Quality | AI documentation, refactoring, standards | 3 hours | 🟢 Fundamentals |
| 6 | Multi-File Projects and Workspaces | Complex project management, workspace AI | 3 hours | 🔵 Intermediate |
| 7 | Building Web Applications with AI | Full-stack development with Copilot | 3 hours | 🔵 Intermediate |
| 8 | API Development and Integration | REST, GraphQL, API design with AI | 3 hours | 🔵 Intermediate |
| 9 | Database Design and Optimization | Schema design, queries, performance | 3 hours | 🔵 Intermediate |
| 10 | Real-time and Event-Driven Systems | WebSocket, streaming, async patterns | 3 hours | 🔵 Intermediate |
| 11 | Microservices Architecture | Service design, communication, patterns | 3 hours | 🟠 Advanced |
| 12 | Cloud-Native Development | Containers, Kubernetes, serverless | 3 hours | 🟠 Advanced |
| 13 | Infrastructure as Code | Terraform, Bicep, GitOps automation | 3 hours | 🟠 Advanced |
| 14 | CI/CD with GitHub Actions | Pipelines, automation, deployment | 3 hours | 🟠 Advanced |
| 15 | Performance and Scalability | Optimization, caching, load balancing | 3 hours | 🟠 Advanced |
| 16 | Security Implementation | Zero-trust, encryption, compliance | 3 hours | 🔴 Enterprise |
| 17 | GitHub Models and AI Integration | Model experimentation, embeddings | 3 hours | 🔴 Enterprise |
| 18 | Enterprise Integration Patterns | ESB, CQRS, event sourcing, sagas | 3 hours | 🔴 Enterprise |
| 19 | Monitoring and Observability | APM, logging, tracing, dashboards | 3 hours | 🔴 Enterprise |
| 20 | Production Deployment Strategies | Blue-green, canary, feature flags | 3 hours | 🔴 Enterprise |
| 21 | Introduction to AI Agents | Agent basics, GitHub Copilot agents | 3 hours | 🟣 AI Agents |
| 22 | Building Custom Agents | Agent development, tools, function calling | 3 hours | 🟣 AI Agents |
| 23 | Model Context Protocol (MCP) | MCP fundamentals, servers, clients | 3 hours | 🟣 AI Agents |
| 24 | Multi-Agent Orchestration | Agent communication, coordination | 3 hours | 🟣 AI Agents |
| 25 | Advanced Agent Patterns | Complex workflows, error handling | 3 hours | 🟣 AI Agents |
| 26 | Enterprise .NET Development | Advanced .NET with AI, architecture | 3 hours | ⭐ Enterprise Mastery |
| 27 | COBOL Modernization | Legacy transformation strategies | 3 hours | ⭐ Enterprise Mastery |
| 28 | Shift-Left Security & DevOps | GitHub Advanced Security, Defender | 3 hours | ⭐ Enterprise Mastery |
| 29 | Complete Enterprise Review | Full-stack .NET enterprise system | 3 hours | 🏆 Mastery |
| 30 | Ultimate Mastery Challenge | Comprehensive 3-hour assessment | 3 hours | 🏆 Mastery |
- Set up and configure GitHub Copilot
- Write AI-assisted code efficiently
- Master prompting techniques
- Debug and test with AI
- Create comprehensive documentation
- Build full-stack applications
- Design and implement APIs
- Work with databases effectively
- Handle real-time communication
- Manage complex projects
- Architect microservices systems
- Implement cloud-native patterns
- Automate infrastructure
- Create CI/CD pipelines
- Optimize for scale
- Implement enterprise security
- Integrate AI models
- Apply enterprise patterns
- Monitor production systems
- Deploy with confidence
- Understand agent architectures
- Build custom AI agents
- Master Model Context Protocol
- Orchestrate multiple agents
- Implement complex agent workflows
- Advanced .NET enterprise development
- Modernize legacy systems
- Implement shift-left security
- Master agentic DevOps
- Complete enterprise system review
- Demonstrate all learned skills
- Prove production readiness
- Languages: Python 3.11+, .NET 8+, TypeScript, JavaScript
- IDEs: Visual Studio Code, Visual Studio 2022
- Version Control: Git, GitHub
- GitHub Copilot: All features including agents
- GitHub Models: AI model playground and experimentation
- GitHub Actions: CI/CD and agent orchestration
- Model Context Protocol (MCP): Agent communication standard
- Azure OpenAI Service: GPT-4, embeddings, fine-tuning
- Azure AI Foundry: Enterprise AI platform
- Semantic Kernel: Microsoft's orchestration framework
- Compute: AKS, Functions, Container Instances
- AI Services:
- Azure AI Search (vector capabilities)
- Cosmos DB (vector search)
- Azure Machine Learning
- Cognitive Services
- Data: Data Lake, Synapse Analytics
- Integration: Service Bus, Event Grid, Logic Apps
- Security: Key Vault, Defender, Sentinel
- Monitoring: Application Insights, Prometheus, Grafana
- Security: GitHub Advanced Security, Defender for Cloud
- IaC: Terraform, Bicep, ARM Templates
- Orchestration: Kubernetes, Docker
Each module contains 3 progressive exercises:
-
Exercise 1 - Foundation (⭐)
- Duration: 30-45 minutes
- Guided implementation
- Core concept focus
-
Exercise 2 - Application (⭐⭐)
- Duration: 45-60 minutes
- Real-world scenario
- Integration focus
-
Exercise 3 - Mastery (⭐⭐⭐)
- Duration: 60-90 minutes
- Complex challenge
- Production-ready
- Clear objectives and requirements
- Step-by-step instructions
- Copilot prompt suggestions
- Validation tests
- Troubleshooting guide
- Extension challenges
- Computer with 16GB RAM minimum
- Stable internet connection
- GitHub account
- Azure subscription (free tier OK)
- Basic programming knowledge
- Familiarity with Git
- No AI experience required
- Complete Fundamentals track
- Web development basics
- Database concepts
- Complete Intermediate track
- Cloud computing basics
- System design knowledge
- Complete Advanced track
- Production experience helpful
- Security awareness
- Complete Enterprise track
- API development experience
- Async programming knowledge
- All previous tracks
- .NET experience (for module 26)
- Enterprise architecture knowledge
- Fork this repository (click Fork button on GitHub)
- In your fork, click the green Code button
- Select Codespaces tab
- Click Create codespace on main
- Choose 4-core machine for best performance
- Wait 2-3 minutes for automatic setup
- Everything is ready! Start with Module 1
git clone https://github.com/paulasilvatech/Mastery-AI-Apps-Dev.git
cd Mastery-AI-Apps-Dev
./scripts/quick-start.sh# Clone repository
git clone https://github.com/paulasilvatech/Mastery-AI-Apps-Dev.git
cd Mastery-AI-Apps-Dev
# Run appropriate setup script
./scripts/setup-workshop.sh # Linux/macOS
.\scripts\setup-workshop.ps1 # Windows (PowerShell as Admin)
# Validate setup
./scripts/validate-prerequisites.sh- Install VS Code GitHub Copilot extension
- Sign in with GitHub account
- Verify Copilot is active:
gh copilot status
# Login to Azure
az login
# Set default subscription
az account set --subscription "Your-Subscription-Name"# Navigate to first module
cd modules/module-01
# Open in VS Code
code .
# Follow the module README- Weeks 1-3: Fundamentals (Modules 1-5)
- Weeks 4-6: Intermediate (Modules 6-10)
- Weeks 7-9: Advanced (Modules 11-15)
- Weeks 10-12: Enterprise (Modules 16-20)
- Weeks 13-15: AI Agents (Modules 21-25)
- Week 16: Review and Challenge
- Week 1: Fast-track Fundamentals
- Weeks 2-3: Intermediate
- Weeks 4-5: Advanced
- Week 6: Enterprise
- Weeks 7-8: AI Agents & MCP
- Week 9: Enterprise Mastery
- Week 10: Final Challenge
- Flexible learning schedule
- Pair programming
- Team challenges
- Custom pacing
- 2-3x faster coding with AI
- Effective prompt engineering
- AI-powered debugging
- Quality documentation
- Full-stack application development
- API design and implementation
- Database optimization
- Real-time features
- Cloud-native architectures
- Infrastructure automation
- CI/CD pipelines
- Performance optimization
- Production-ready systems
- Security implementation
- Monitoring and observability
- Deployment strategies
- Custom agent development
- Multi-agent orchestration
- MCP implementation
- Complex AI workflows
- Complete AI development mastery
- Enterprise architect capabilities
- Team leadership skills
- Innovation mindset
- Scripts Documentation: All workshop automation scripts
- Module Documentation: Deep dive guides
- Code Templates: Reusable starter code
- Best Practices: Industry standards
- Check module-specific troubleshooting guides
- Review FAQ
- Search GitHub Issues
- Join GitHub Discussions
We welcome contributions! Please check the modules documentation and scripts for examples.
MIT License - Use freely with attribution
This isn't just another workshop—it's your transformation into an AI development master. With 30 comprehensive modules, 90 hands-on exercises, and a supportive community, you have everything needed to excel in the AI-powered future of software development.
The best investment you can make is in yourself. The best time to start is now.
Welcome to Mastery AI Apps and Development! 🚀
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.
This workshop was developed by Paula Silva, AI App and Software Developer Global Black Belt at Microsoft Americas.