ML.NET Complete Course - Machine Learning with C# and .NET 10

Learn machine learning the .NET way. Build, test, and deploy real machine learning models using C#, ML.NET, and .NET 10 without writing Python code.

This hands-on course explains machine learning concepts in simple language and guides you through practical projects with working code and sample datasets.

Who Is This Course For?

• .NET developers who want to learn machine learning using C#
• Backend and full-stack developers who want to integrate AI and machine learning into their applications
• Students and job seekers who want practical C# machine learning projects for their portfolios
• Developers who want to explore ML.NET, ONNX models, and large language models in the .NET ecosystem

What You Will Learn

• Understand machine learning fundamentals through practical examples.
• Prepare, clean, and transform data for model training.
• Build machine learning models for sentiment analysis, support ticket classification, house price prediction, customer segmentation, movie recommendations, and sales forecasting.
• Detect unusual patterns and transactions using anomaly detection.
• Evaluate models using appropriate metrics, cross-validation, and AutoML.
• Use pre-trained ONNX models and integrate large language models into C# applications.
• Build and deploy machine learning models through ASP.NET Core Web APIs and Docker.
• Apply model versioning, testing, and monitoring practices.

What Is Included?

• Approximately 8+ hours of video lessons
• 12 modules with 60+ lessons
• Complete source code and sample datasets
• Module-end quizzes to test your understanding
• A capstone project: build a Support Ticket Assistant, from data preparation and model training to API deployment

Requirements

Basic knowledge of C# is recommended. No prior machine learning experience, advanced mathematics, or Python knowledge is required.

You will need the free .NET 10 SDK and a development environment capable of running .NET applications.

What You Will Build

By the end of this course, you will have hands-on experience building multiple machine learning projects in C#, evaluating trained models, integrating pre-trained AI models, and deploying machine learning functionality through a web API.

You will gain practical skills to bring machine learning into your existing .NET applications and build portfolio projects that demonstrate your knowledge of ML.NET and applied AI development.