C# ASP.NET Core 3 - Voting System - TDD Solution - Episode 4
Learn Test-Driven Development (TDD) in C# ASP.NET Core 3 through a practical voting system project. Explore Uncle Bob's TDD rules, refactoring techniques, and when to break conventions.
Escape From VMs with Image2Docker - Migrating Apps to Containers
Automated migration of distributed apps from VMs to Docker containers, simplifying management of Linux and Windows components in a hybrid environment.
Optimizing .NET Docker Images for Production and Development
Optimize .NET Docker images for production: build time, layers, pitfalls. Enhance development with remote debugging, hot-reloading. Learn techniques for efficient containerized .NET applications.
Why I Don't Use MediatR in ASP.NET Core
Explore alternatives to MediatR in ASP.NET Core for improved code maintainability, readability, and performance, with practical examples and insights.
Introduction to Plugin Architecture in C# - ASP.NET Core Web App
Learn to implement dynamic endpoint addition and updating at runtime in ASP.NET Core using plugin architecture, enhancing your C# web application's flexibility and extensibility.
Bounded Contexts in ASP.NET Core - Improving Code Quality
Explore implementing Bounded Contexts in ASP.NET Core to improve code quality, prevent spaghetti code, and enhance application design through well-defined boundaries.
Role Store Implementation and Pull Request Workflow
Implement IRoleStore for role management, add tests, handle user roles, and set up a GitHub workflow for building and testing in .NET and ASP.NET Core.
Introduction to Domain-Driven Design - Organizing Models in MVC Applications
Explore Domain Driven Design principles to organize models, map business requirements, and create maintainable application logic, decoupling it from controllers.
Clean Architecture with .NET MAUI, Blazor, and ASP.NET Core
Explore extending Clean Architecture to .NET MAUI and Blazor UIs, learning efficient code-sharing techniques across solution layers while avoiding common pitfalls in full-stack .NET development.
Generative AI for .NET Developers - NDC Sydney 2024
Explore creating intelligent apps with .NET and Azure OpenAI. Learn to leverage large language models, understand AI fundamentals, and see a live demo of AI building AI apps using .NET and OpenAI.
Front-End Web Development with .NET for Beginners
Learn Blazor for modern web development using HTML, CSS, and C#. Set up your environment, create projects, debug, and master Blazor components to build interactive front-end applications with .NET.
Build Software Like a Bag of Marbles, Not a Castle of LEGO - Modular Architecture Approach
Explore modular software design for easy feature addition and removal, enhancing flexibility and maintainability in application development across WebAPI, Entity Framework, and database migrations.
Best Practices for Production-ready .NET Docker Images
Learn insider tips for creating optimized, secure, and high-performance .NET Docker images. Discover how to containerize applications, fix vulnerabilities, and prepare for production using a hands-on web API example.
Microsoft AI: Semantic Kernel C# SDK - Semantic Memory with Chroma
Develop a RAG component using Semantic Kernel, Chroma, and OpenAI models in C#. Enhance machine learning projects with advanced AI techniques.
Microsoft AI: Semantic Kernel C# SDK Integration with Ollama - Machine Learning and Data Science
Integrate Microsoft's Semantic Kernel C# SDK with Ollama, exploring Phi3 model and coding in C# for enhanced machine learning capabilities.
MLOps: C# Image Recognition with ResNet50v2 Model
Implement image recognition using ResNet50v2 in C# with ONNX and SixLabors.ImageSharp for efficient MLOps workflows.
Converting BERT to ONNX and Inference with BERTTokenizer for C# - Machine Learning and Data Science
Convert Bert model to ONNX format and create a C# app using BERTTokenizer for inference with ONNX transformer models.
Microsoft AI: Introduction to the Semantic Kernel SDK
Explore Microsoft's Semantic Kernel SDK for integrating LLMs with C#, Python, and Java. Learn to combine AI models with traditional programming for enhanced applications.
Computer Vision: OCR Tesseract in C# - Data Science and Machine Learning
Implement OCR using Tesseract library in C# for extracting text from images, enhancing your computer vision skills.
Object Detection with Faster R-CNN in C# Using ONNX on CPU
Implement object detection using Faster R-CNN in C# with ONNX format on CPU, leveraging machine learning for efficient image analysis.
Microsoft AI: Semantic Kernel C# SDK Chatting with Phi3 4k ONNX CPU - Machine Learning and Data Science
Develop a ChatBot using Phi3 Mini 4k Instruct ONNX model with Semantic Kernel C# SDK, integrating custom services for machine learning applications.