Build AI Solutions with ML.NET and C#

Want to integrate artificial intelligence capabilities into your .NET applications? This course provides a clear, text-based pathway to understanding and implementing machine learning models using ML.NET and C#. By the end of this course, you will be equipped to develop, train, evaluate, and deploy your own AI-powered solutions, enhancing your C# development skills with practical machine learning expertise. What you'll learn: * Understand core machine learning concepts, terminology, and workflows. * Apply the ML.NET framework to build various AI models, including classification and regression. * Implement transfer learning techniques to leverage pre-trained models for new tasks. * Prepare and transform datasets effectively for machine learning model training. * Evaluate model performance using essential metrics and interpret results. * Configure and deploy ML.NET models for use within your C# applications. * Explore fundamental considerations for responsible AI development and common challenges. The course begins with foundational machine learning principles, then progresses through practical application using ML.NET and C#, covering data handling, model training, evaluation, and deployment. This course is designed for beginner C# developers and anyone new to machine learning who wants to build AI applications. No prior machine learning experience is required. Start building intelligent applications today and expand your development toolkit.