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- 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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Vishal Patel
Excellent WPF course! Very comprehensive for building professional desktop applications.
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Madhuri Joshi
Outstanding WPF training! Perfect for learning XAML and MVVM patterns.
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Arpit Verma
Great WPF course for developers. Very well-structured and hands-on.
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Sakshi Rao
Fantastic WPF course! The instructor explains framework concepts clearly.
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Rajesh Kumar
Perfect WPF course for desktop development. Great practical examples.
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Priya Sharma
Excellent WPF training program. Very professional and comprehensive.


