AI-Augmented Full Stack .NET Code Development
Certificate of Completion by Code.Hub
This training enables developers to build fullstack .NET applications enhanced with Generative AI to accelerate development and embed intelligent capabilities into modern web systems. Participants will learn how to use AI copilots to generate, refactor, and test code across backend (ASP.NET Core) and frontend (React/Angular) layers. The course covers integrating LLMs into applications for features such as natural language interfaces, recommendation engines, and intelligent workflows. It also explores end-to-end architectures combining .NET APIs, databases, and AI services like Azure OpenAI. Hands-on labs focus on building production-ready applications with AI-assisted coding, automated documentation, and rapid prototyping. Emphasis is placed on clean architecture, security, and maintainability when introducing AI into fullstack systems. By the end of the training, participants will be able to design and implement scalable, AI-augmented applications across the entire development lifecycle.
By the end of this module, participants will be able to:
- Develop fullstack .NET applications using AI copilots for faster coding and refactoring
- Integrate LLM-powered features such as chat, recommendations, and intelligent workflows
- Design end-to-end architectures combining ASP.NET Core, frontend frameworks, and AI services
- Automate testing, documentation, and development workflows using AI tools
- Apply best practices for secure, scalable, and maintainable AI-augmented applications
Fundamentals of Generative AI
What is Generative AI and LLMs
How AI assists developers (Copilots)
Overview of AI in software development lifecycle
Real-world use cases in web applications
AI Tools for Developers
GitHub Copilot basics
Using AI in Visual Studio / VS Code
Prompting techniques for code generation
Limitations and best practices
ASP.NET Core Basics
Web APIs fundamentals
Controllers, routing, and middleware
Basic CRUD operations
Frontend Integration
Overview of React or Angular
Calling APIs from frontend
Basic UI components and state
Code Generation & Refactoring
Using Copilot for backend code
Generating APIs and services
Refactoring and improving code quality
Debugging & Testing with AI
AI-assisted debugging
Writing unit tests with AI
Improving code reliability
Calling LLM APIs
Introduction to Azure OpenAI / OpenAI APIs
Making API calls from .NET
Handling responses
Building AI Features
Creating simple chat functionality
Natural language input handling
Prompt design basics
Connecting Frontend with AI Backend
Sending user input to backend
Displaying AI responses in UI
Managing async interactions
Intelligent UI Patterns
Chat-based interfaces
AI-assisted forms and suggestions
Improving UX with AI
Working with Databases
Connecting .NET to SQL Server
Basic data storage and retrieval
Using AI to generate queries
AI for Developer Workflow
Auto-generating documentation
Code snippets and templates
Using AI for faster development cycles
Build AI-Augmented Web App
Create fullstack app with AI feature
Example: AI assistant or recommendation system
End-to-end integration (frontend + backend + AI)
Testing and improvements
- Roles: Fullstack Developer, .NET Developer, Software Architect
- Seniority: Junior to Mid level
- Experience with C#, ASP.NET Core, and at least one frontend framework (React or Angular)
- Familiarity with REST APIs, databases, and general fullstack application architecture
Sessions can be delivered via the following formats:
- Live Online – Interactive virtual sessions via video conferencing
- On-Site – At your organization’s premises
- In-Person – At Code.Hub’s training center
- Hybrid – A combination of online and in-person sessions
Interested for
