Hands-On Machine Learning for .NET Developers

Unlock the Power of Machine Learning with .NET: Hands-On ML.NET for Developers

🚀 Course Headline: Harness the transformative power of machine learning today without a machine learning background!

🎓 Course Title: Hands-On Machine Learning for .NET Developers

Course Description:

Embark on a journey to seamlessly integrate machine learning into your .NET applications with ML.NET, the powerful and accessible library from Microsoft. Designed for developers, this course demystifies machine learning and empowers you to build intelligent models right within your C# code. 🧠✨

Why Take This Course?

• 🚀 Leverage Your Existing Skills: Use your .NET expertise to explore the world of machine learning without starting from scratch.
• 🛠️ Practical, Hands-On Learning: From data preparation to model deployment, gain hands-on experience with real-world scenarios and tasks.
• 🤖 Broad Range of Projects: Dive into image classification, sentiment analysis, recommendation engines, and more!
• ✅ Step-by-Step Guidance: Learn to implement machine learning tasks and algorithms, build custom models using ML.NET's Model Builder and CLI, and utilize AutoML for optimal results.
• 📈 Improve and Extend: Discover techniques to enhance your model's performance and accuracy, and learn how to extend ML.NET with TensorFlow pre-trained models.

Course Outline:

• Getting Started with ML.NET: Understand the core concepts and tools you'll be using throughout the course.
• Data Preparation: Learn best practices for loading, cleaning, and transforming data into a format suitable for training.
• Building Your First Model: Follow step-by-step instructions to create your first machine learning model.
• Training and Evaluating Models: Discover how to train models on datasets and evaluate their performance using various metrics.
• Making Predictions: Implement your trained model within a .NET application to make real-time predictions.
• Retraining Models: Understand the iterative process of retraining your model for improved accuracy.
• Advanced Techniques: Explore image classification, sentiment analysis, and more using advanced ML.NET features.
• Transfer Learning with TensorFlow: Learn how to incorporate pre-trained models into your ML.NET application to boost performance without extensive data.
• Optimization and Advanced Modeling: Improve model performance with advanced tuning techniques and understand the nuances of complex machine learning tasks.

Your Instructor: Karl Tillström

A seasoned software engineer and systems architect with over 15 years of professional experience in .Net, Karl is also a passionate AI enthusiast who holds a Master's degree in Computer Science and Engineering from Chalmers University of Technology. His love for AI and programming shines through in his teaching as he guides you through the intricacies of ML.NET. 🧑‍💻✨

With Karl's expertise, you'll navigate through the complexities of machine learning with ease, transforming your applications with intelligent solutions.

Enroll Now and Transform Your .NET Applications with Machine Learning! 🚀

Whether you're a seasoned .NET developer or just starting out, this course is designed to provide you with the tools and knowledge necessary to harness the power of machine learning in your applications. With hands-on projects and clear, step-by-step guidance from Karl Tillström, you'll be building intelligent models and solving real-world problems in no time! 🌟

Sign up today and embark on your machine learning journey with ML.NET.