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AI & ML

Master AI and Machine Learning concepts with .NET. Build intelligent applications and solve real-world problems with cutting-edge algorithms and frameworks.

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Last Update : 12/07/2026

  • Understand AI and Machine Learning fundamentals and applications.
  • Master ML.NET for building machine learning models in .NET.
  • Build classification and regression models with practical examples.
  • Implement clustering and anomaly detection algorithms.
  • Use TensorFlow.NET for deep learning and neural networks.
  • Apply Natural Language Processing techniques in .NET.
  • Design and build intelligent AI agents with Semantic Kernel.
  • Integrate Large Language Models (LLMs) with .NET applications.
  • Implement Model Context Protocol (MCP) servers for AI orchestration.
  • Deploy ML models to production on Azure and cloud platforms.
  • Manage ML pipelines with MLOps best practices.
  • Build real-world AI solutions for business problems.
  • Implement RAG (Retrieval Augmented Generation) patterns.
  • Create conversational AI and chatbot applications.
  • Handle model monitoring, drift detection, and retraining.
  • Apply responsible AI principles and ethical considerations.
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5

Total 6 Ratings

5 Star
83.33%
4 Star
16.67%
  • Author

    Vishal Patel

    Excellent WPF course! Very comprehensive for building professional desktop applications.

  • Author

    Madhuri Joshi

    Outstanding WPF training! Perfect for learning XAML and MVVM patterns.

  • Author

    Arpit Verma

    Great WPF course for developers. Very well-structured and hands-on.

  • Author

    Sakshi Rao

    Fantastic WPF course! The instructor explains framework concepts clearly.

  • Author

    Rajesh Kumar

    Perfect WPF course for desktop development. Great practical examples.

  • Author

    Priya Sharma

    Excellent WPF training program. Very professional and comprehensive.