.NET and C# courses to develop without stress - Pagina 2

Unit testing in .NET to write code that doesn't let you down

Use unit testing in .NET to write code that doesn't let you down

Why can you write stable and secure code with unit testing in .NET? Stop "hoping it works" and start checking your software.

Testing .NET TDD

AI in SMEs: governing software without rewriting it

By introducing AI into SMEs, time, costs, errors and manual work in company software are reduced

AI in SMEs reduces hidden risks and costs, restoring consistency in business rules without blocking operations.

LLM AI Automation

Software technical debt: risks and solutions

Technical debt in software: complete guide to management and resolution

Technical debt slows down teams and generates bugs. Discover causes, impacts and strategies to manage and resolve it without rewriting everything.

Design Patterns Technical debt Refactoring

Triggers in WPF: More interactive interfaces without code

XAML triggers transform your UI: the method every experienced developer should use

Triggers in WPF allow you to manage UI states and behaviors declaratively, reducing code, errors and development complexity.

AI hallucinations: what they are and how RAG fixes them

The problem of AI hallucinations, the invented answers and how to eliminate it

AI hallucinations generate false but plausible responses. With RAG and vector databases you can reduce them and make AI systems more reliable.

LLM AI Chatbots

.NET 10 gives you more flow, less friction and better focus

.NET 10: a smoother, lighter and more human way to build software

This version removes more weight than it adds: it frees your mind, reduces interruptions and lets you stay inside the creative flow.

C# or Java: choosing the right language for your future

C# or Java? The right choice is not technical but strategic. This is why the future speaks .NET

C# vs Java: which language offers more opportunities for modern, sustainable applications over time.

How vector indexing works and why it is essential

Vector indexing is the trick that makes research in artificial intelligence immediate

Vector indexing is the mechanism that allows Qdrant and other vector databases to respond quickly even with millions of saved data.

RAG Vector indexing Qdrant

RAG pipeline how to build an effective workflow

RAG pipeline: the path that connects documents to artificial intelligence responses

The RAG pipeline connects business documents to AI responses, ensuring a stable, reliable and truly useful flow.

Qdrant is the vector database that gives your AI memory

Qdrant vector database the heart of semantic search and RAG

Qdrant is a vector database that stores and searches embeddings in a fast and scalable way, giving real memory to artificial intelligence systems

RAG: eliminate hallucinations from AI models

RAG in software development: reliable AI answers without hallucinations

RAG connects real data and AI models to obtain reliable answers in software development, reducing errors and hallucinations

Semantic search: how it works and why it beats keywords

Semantic search: the natural way to find information beyond keywords

Semantic search uses meaning to find more accurate and natural information, overcoming the limitations of keyword-based search

RAG Semantics AI

Embedding AI: what it is and how it works

Embedding AI, the secret language that allows artificial intelligence to understand your data

AI embeddings transform texts into numbers useful for models and enable semantic and RAG search, making the software more intelligent and reliable.

RAG Embedding AI

How Language Models Really Work

Language models explained simply: no magic, just numbers

How do language models work? They don't think, they compute. Discover the hidden tools that drive them and learn how to actually use them.

AI software development in the financial sector

AI software development in the financial sector

How Artificial Intelligence is revolutionizing the financial sector, with concrete examples of real software to be developed in .NET

LLM Financial AI machine learning finance

Visual Studio 2026 is the version that helps you work better

Visual Studio 2026 is the legal advantage that lets you move faster than everyone else

Visual Studio 2026 introduces features that remove friction and slowdowns, making everyday work smoother, faster, and more satisfying.

Using LLMs in .NET projects: turn them into real allies

How to use LLMs like Copilot in your .NET projects without becoming dependent

Learn how to integrate LLMs to boost productivity and code quality while keeping full architectural control over your .NET projects.

AI and Machine Learning in .NET explained with clear models

AI and machine learning for .NET developers: Don't settle for a black box that fires out random answers

For a .NET developer, AI and Machine Learning are essential: with ML you can track decisions, avoiding uncontrollable responses.

LLM AI Machine learning

C# vs C++: differences and why C# wins

What changes between C# and C++: which one to choose to start programming

Learn the differences between C# and C++ and why choosing C# helps you work faster, avoid unnecessary errors, and build a solid foundation.

C#C# vs C++Learning C#

How VB.NET Transforms Memory Management into Your Ally

Master Memory with VB.NET and Put It at Your Service; Don't Let It Control Your Career

Manage memory methodically with VB.NET: your code shouldn't betray you, it should remain stable even under intensive workloads.

.NET VB.NET Garbage collector