Your comprehensive, open-source guide to mastering .NET development with AI integration and Azure cloud services
🎯 Getting Started • 📚 Roadmap • 🤝 Contributing • ⭐ Support • 📜 License
This is a community-driven, open-source learning roadmap designed to guide developers from beginner to architect level in the .NET ecosystem, with a strong focus on AI/ML integration and Azure cloud services.
- Core Skills: C#, .NET 8+, ASP.NET Core, Entity Framework Core
- AI/ML: ML.NET, Azure OpenAI, Semantic Kernel, LLMs, Chatbots
- Cloud: Azure services (50+ services covered), Microservices, Kubernetes
- Architecture: Clean Architecture, CQRS, Event Sourcing, DDD
- DevOps: CI/CD, MLOps, Infrastructure as Code, Monitoring
- Certifications: Path to 6 Azure certifications (AZ-900, AZ-204, AI-102, DP-100, AZ-400, AZ-305)
- 🔰 Beginners: Starting from scratch with programming
- 💼 Career Switchers: Moving into .NET/AI development
- 📈 Intermediate Developers: Leveling up to architect roles
- 🎯 Full-Stack Developers: Adding AI capabilities to your stack
- Self-Paced: 18-24 months (part-time, working professionals)
- Accelerated: 12-15 months (full-time learning)
- Modular: Pick specific phases based on your needs
- ✅ 500+ checkboxes to track every topic, exercise, and project
- 📊 Progress tracking at phase, module, and weekly levels
- 📝 Personal notes sections for documenting your journey
- 🚀 50+ real-world projects across Healthcare, Finance, and Energy domains
- 💻 Code-first approach with practical implementations
- 🏗️ Capstone project: Enterprise AI-powered Healthcare Platform
- 📚 6 Azure certifications with clear timeline and resources
- 🎯 Exam-focused learning paths
- 📖 Study materials and practice exam recommendations
- 🌟 Open source and free forever
- 🔄 Regular updates with latest .NET and Azure features
- 💡 Community contributions welcomed and encouraged
- 🍴 Forkable and customizable for your needs
- No programming experience required (we start from basics)
- A computer with internet connection
- Willingness to learn and dedicate time
- ⭐ Star this repository to support the project and stay updated
- 📥 Fork or Clone the repository to your GitHub account
git clone https://github.com/HariVenkataKrishnaKotha/dotnet-ai-learning-journey.git
- 📖 Read the Complete Roadmap
- ✅ Start tracking your progress by checking off completed items
- 💬 Join discussions and ask questions in Issues
- Working Full-Time: 10-15 hours/week → 20-24 months
- Part-Time Learner: 20-25 hours/week → 14-18 months
- Full-Time Learner: 40+ hours/week → 10-12 months
- C# Language Mastery
- Data Structures & Algorithms
- Design Patterns & SOLID Principles
- .NET Fundamentals & Azure Basics
- ASP.NET Core Web APIs
- Entity Framework Core & Databases
- Azure Core Services & Deployment
- Machine Learning Basics
- ML.NET Framework
- Azure AI Services (Cognitive Services)
- Azure OpenAI Service
- Semantic Kernel
- Chatbot Development with Bot Framework
- MLOps & Azure Machine Learning
- Microservices & Distributed Systems
- Advanced Azure Services (AKS, APIM, Databricks)
- Fine-tuning & Custom Models
- Multi-Agent Systems
- Computer Vision, NLP, Time Series
- Responsible AI & Governance
- Enterprise AI-Powered Healthcare Platform
- Full-stack implementation with all learned technologies
This roadmap includes specialized projects for three major industries:
- Hospital Management Systems
- Medical Chatbots & Diagnosis Assistants
- Document Processing (Forms, Lab Reports)
- Patient Risk Prediction
- Telemedicine Integration
- Transaction Analysis & Fraud Detection
- Portfolio Management Systems
- Financial Forecasting
- Algorithmic Trading Platforms
- Compliance & Risk Management
- Energy Consumption Forecasting
- Equipment Failure Prediction
- Smart Grid Analytics
- Resource Optimization
- Sustainability Dashboards
We enthusiastically welcome contributions from the community! This project thrives on diverse perspectives and improvements.
Found a bug, broken link, or outdated information?
- Open an Issue
- Use descriptive titles and provide details
Have ideas for new content, better explanations, or additional resources?
- Open an Issue with the "enhancement" label
- Discuss your ideas with the community
Want to add content, fix errors, or improve the roadmap?
- Fork the repository
- Create a feature branch
git checkout -b feature/your-feature-name
- Make your changes
- Commit with clear messages
git commit -m "Add: Description of your changes" - Push to your fork
git push origin feature/your-feature-name
- Open a Pull Request with detailed description
- 📚 New resources: Books, courses, tutorials, documentation
- 🛠️ Project ideas: Practical exercises and real-world projects
- 🔧 Improvements: Better explanations, corrections, clarifications
- 🌍 Translations: Roadmap in different languages
- 💻 Code samples: Example implementations and templates
- 🎨 Design improvements: Better formatting, diagrams, visuals
- 🏢 Industry-specific content: Domain-specific use cases
- Maintain the existing structure and formatting
- Ensure accuracy and test your additions
- Provide sources and references where applicable
- Use clear and concise language
- Follow markdown best practices
- Respect the beginner-friendly approach
- Add promotional content or spam
- Include pirated resources or illegal content
- Submit low-effort or duplicate content
- Break existing functionality
If you find this roadmap helpful, please consider supporting it:
Click the ⭐ button at the top of the page - it helps others discover this resource!
Create your own version and customize it to your learning path
- Share on social media (Twitter, LinkedIn, Reddit)
- Mention in blog posts or YouTube videos
- Recommend to colleagues and friends
- Participate in Discussions
- Answer questions from other learners
- Share your progress and experiences
- Add content you wish existed when you started
- Share your completed projects
- Help review pull requests
- Initial release with complete roadmap
- 6 phases covering .NET, AI, and Azure
- 50+ projects across 3 industries
- 6 certification paths
- Comprehensive tracking system
- Video tutorial links
- Interactive learning path selector
- Community showcase of completed projects
- Mentor matching program
- Study group coordination
- Additional language translations
See CHANGELOG.md for detailed version history.
- v1.0.0: Full-Stack .NET + AI + Azure (Current)
- v2.0.0: Coming soon with .NET 9 and latest Azure AI updates
We encourage creating specialized versions! Popular forks include:
- 🎓 Academic Version: Aligned with university CS curricula
- 🚀 Startup Track: Fast-paced, MVP-focused learning
- 🏢 Enterprise Track: Focus on large-scale systems
- 🌍 Regional Variations: Localized resources and certification paths
Creating Your Own Version?
- Fork this repository
- Customize for your needs
- Submit a PR to add your fork to this list!
- Tag it with
dotnet-roadmap-fork
This project is licensed under the MIT License - see the LICENSE file for details.
✅ Free to use for personal and commercial purposes
✅ Free to modify and adapt to your needs
✅ Free to distribute and share
✅ Free to fork and create your own versions
Attribution: While not required, we appreciate credit and links back to this repository!
A huge thank you to all contributors who help improve this roadmap!
Want to see your name here? Contribute!
- Developer Roadmaps
- Microsoft Learn documentation
- Community feedback and suggestions
- Microsoft Documentation
- .NET Foundation
- Azure AI Community
- Open source .NET projects
Join our community discussions for:
- Questions and answers
- Learning tips and strategies
- Project showcases
- Study groups
- Career advice
Report bugs, broken links, or outdated information:
For sensitive matters or partnership inquiries:
- Email: harivenkatakrishnak@gmail.com
- LinkedIn: [https://www.linkedin.com/in/harivenkatakrishnakotha/]
Have you completed parts of this roadmap and landed a job or built something amazing? We'd love to hear from you!
Share your story:
- Open a Discussion with the "Success Story" category
- Include your journey, challenges overcome, and outcomes
- Inspire others in the community!
This roadmap is a guide based on industry best practices and current technologies. Learning paths can vary based on:
- Individual learning pace and style
- Prior experience and background
- Career goals and interests
- Industry requirements
- Geographic location
Always research job requirements in your target market and adjust accordingly.
| Resource | Link |
|---|---|
| 📚 Full Roadmap | LEARNING_ROADMAP.md |
| 🤝 Contributing Guide | CONTRIBUTING.md |
| 📜 License | MIT License |
| 📝 Changelog | CHANGELOG.md |
| 💬 Discussions | GitHub Discussions |
| 🐛 Issues | GitHub Issues |
Made with ❤️ by the community, for the community
Stay updated with the latest changes and additions:
- 🌟 Star and Watch this repository
- 🔔 Enable notifications for releases
- 💼 Connect on LinkedIn: [https://www.linkedin.com/in/harivenkatakrishnakotha/]
Last Updated: October 2025 | Version: 1.0.0 | Maintained by: Community
This is a living document. It will be updated regularly with new content, technologies, and community contributions.