Using Generative AI to Accelerate Software Development with .NET and Microsoft Azure

Day 1: Introduction to GitHub Copilot & Project Setup 

🔹 Understanding Generative AI for Software Development 

• Overview of AI-assisted development 

• How GitHub Copilot and/or ChatGPT works under the hood 

• Integrating Copilot with Visual Studio & VS Code 

• Comparing AI-generated code with traditional coding 

🔹 Project Kickoff: Setting Up a .NET Application 

• Overview of the application to be built 

• Creating a new ASP.NET MVC project using .NET Framework 

• Setting up SQL Server & Azure for the project 

• Using GitHub Copilot to generate boilerplate code (Models, Views, Controllers) 

🔹 Using AI to Generate and Optimize Database Schema 

• Creating SQL Server tables using Copilot-generated SQL scripts 

• Writing stored procedures with Copilot 

• Generating Entity Framework models 

• AI-assisted query optimization 

🔹 Using GitHub Copilot to Create Controllers and Business Logic 

• Generating Controllers and REST API endpoints 

• Using Copilot to scaffold CRUD operations 

• Implementing Dependency Injection with AI suggestions 

• Writing business logic efficiently with AI 

🔹 Hands-on Lab 

• Use GitHub Copilot to build the initial project structure 

• Generate and refine models, controllers, and services 

• Deploy the initial project to Azure 

Day 2: AI-Driven Development, Troubleshooting, and UI Creation 

🔹 Using AI for Code Refactoring & Performance Optimization 

• Identifying inefficient code with Copilot 

• Refactoring with AI-driven best practices 

• Optimizing LINQ queries and async programming 

🔹 Error Handling & Debugging with AI 

• Analyzing Copilot’s suggestions for troubleshooting errors 

• Handling exceptions effectively 

• Debugging database connectivity issues 

• Writing unit tests with Copilot assistance 

🔹 Building AI-Assisted User Interfaces in ASP.NET MVC 

• Using Copilot to generate Views (Razor templates) 

• Designing a responsive UI with Bootstrap and AI-assisted HTML/CSS 

• Implementing form validation and data binding with AI 

🔹 Enhancing Authentication & Identity Management with AI 

• Configuring ASP.NET Identity with AI-generated code 

• Implementing OAuth, JWT authentication 

• Setting up role-based access control with AI guidance 

🔹 Hands-on Lab 

• Generate Views and UI components with Copilot 

• Configure Identity and implement user authentication 

• Deploy the project updates to Azure 

Day 3: Advanced AI-Assisted Development & Deployment 

🔹 AI-Assisted Algorithm Development 

• Using GitHub Copilot to generate sorting, searching, and processing algorithms 

• AI-generated data processing logic (file handling, API integration) 

🔹 AI-Assisted API Development & Integration 

• Creating AI-generated REST API endpoints 

• Connecting the application to third-party APIs using AI 

• Securing API calls with OAuth and API Keys 

🔹 Final Project Review & AI for Future Enhancements 

• Reviewing AI-assisted code efficiency 

• Identifying potential security improvements using AI 

• How to integrate AI-assisted development into daily workflows 

🔹 Final Hands-on Lab & Project Completion 

• Finalizing and deploying the application 

• AI-generated performance testing scripts 

• Presenting projects and discussing AI-driven improvements 

Learning Outcomes 

By the end of this course, students will be able to: 
✅ Use Generative AI to accelerate coding in .NET, ASP.NET MVC, and SQL Server 
✅ Generate optimized database schemas and queries using AI 
✅ Develop secure, scalable applications with Azure integration 
✅ Troubleshoot errors efficiently with AI guidance 
✅ Leverage AI for identity management, UI design, and algorithm optimization 

• 3 Days

• Microsoft Azure
• .Net