The Microsoft .NET platform and the C# language remain among the most in-demand tools in enterprise development. Creating web applications, microservices, desktop solutions, and cloud services — all of this is based on the .NET ecosystem. In 2026, when AI technologies have penetrated all spheres, learning these technologies reaches a new level. Let's explore how a modern course on C# and .NET with artificial intelligence integration helps master ASP.NET Core, Entity Framework, LINQ, Blazor, REST API, MS SQL, Azure, and design patterns faster and more effectively.
Why C# and .NET Are a Must-Have for Developers in 2026
According to the latest Stack Overflow and GitHub reports, .NET is among the top 5 platforms in terms of the number of commercial projects. C# is a strongly typed language that combines the power of C++ and the simplicity of Java. It is used to write:
- Web applications (ASP.NET Core) — from landing pages to corporate portals.
- APIs (REST, gRPC) — backend for mobile and frontend solutions.
- Games (Unity) — C# is the primary language for the Unity game engine.
- Cloud services (Azure) — serverless functions, databases, queues.
- Desktop applications (WPF, MAUI) — Windows programs and cross-platform solutions.
| Technology | Application | Popularity (2026) |
|---|---|---|
| ASP.NET Core | Web API, MVC, Razor Pages | High |
| Entity Framework Core | ORM, working with databases (MS SQL, PostgreSQL) | Very high |
| Blazor | Interactive web interfaces without JavaScript | Growing |
| Azure | Cloud computing, DevOps | Critical |
How AI Changes Learning: From Passive Reading to Active Immersion
Traditional programming learning often boils down to reading textbooks and watching videos. The main problem is the lack of practice in a real context. The course "C# and .NET — Development on the Microsoft Platform" on the ASI Biont platform solves this with AI-generated learning content.
1. Adaptive Theoretical Blocks
AI analyzes the complexity of the topic and generates explanations with different levels of detail. If you are a beginner, you will get more examples with LINQ queries and simple projects. If you already know the basics, AI will suggest advanced patterns (e.g., Repository, Unit of Work) and integration with Azure.
2. Generation of Practical Tasks Tailored to Your Level
Instead of static tasks like "write a calculator," AI creates scenarios from real development:
- Develop a REST API for an online store using Entity Framework and MS SQL.
- Implement a Blazor component with dynamic data loading.
- Set up CI/CD in Azure DevOps for a .NET project.
3. Instant Feedback on Code
After submitting a solution, AI checks the code for compliance with best practices, finds bugs, and suggests optimizations. For example, it will hint that a database query can be optimized using projection (Select) instead of loading the entire entity.
Key Technologies of the Course: What You Will Master
The course covers the full stack of a modern .NET developer. Here are the main modules (without tying to a specific structure):
ASP.NET Core and REST API
You will learn to create high-performance web APIs with support for authentication (JWT), versioning, and documentation (Swagger). AI will help you understand middleware, DI containers, and CORS configuration.
Entity Framework Core and MS SQL
Working with databases is the foundation of any application. You will master migrations, table relationships, complex queries via LINQ, and lazy/eager loading. Example: refactoring a stored procedure into a LINQ query with improved performance.
Blazor: C# Instead of JavaScript
Blazor allows you to write the client side in C#. You will learn how to create components, handle events, and work with SignalR for real-time features. AI will suggest when to use Blazor Server and when to use Blazor WASM.
Design Patterns and Architecture
SOLID, Repository, CQRS, Mediator — it's hard to imagine an enterprise project without them. The course teaches how to apply patterns in the context of .NET, and AI ge
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