Uploaded June 2026 | Updated September 2026, 3 weeks ago
Welcome to this special AI and Machine Learning webinar premiere.
In this webinar, we will be discussing key AI concepts, explore real world applications and look at how AI is influencing modern software development. We will also have the insights into learning paths, tools and skills that can help you stay relevant in an AI driven world.
π Topics to be covered:
Lesson 1 - AI & Machine Learning Fundamentals
β€ Understanding what AI and ML are
β€ How they differ and where they are used
Lesson 2 - Core Building Blocks of Machine Learning
β€ Features and Labels
β€ Algorithms
β€ Training Process
β€ Machine Learning Models
Lesson 3 - Introduction to Regression
β€ What is Regression?
β€ Understanding Regression-based predictions
Lesson 4 - Hands-On Lab: Your First ML.NET Regression Application
β€ Introduction to ML.NET
β€ Understanding MLContext
β€ Key ML.NET Components
β€ Building a simple Regression model
Lesson 5 - Training vs Inference
β€ How models learn
β€ How trained models make predictions
Lesson 6 - AI & ML Learning Roadmap
β€ Recommended learning path
β€ Skills and technologies to focus on
β€ Next steps in your AI/ML journey
If you are interested in understanding AI beyond the hype and want a clear direction on where to begin, this session is for you.
β Do not forget to watch our latest tutorial on C# AI and Machine Learning: youtu.be/d3lqvdXgZjw
#aiml #ai #machinelearning #csharpaiml #machinelearningforcsharpdeveloper
Welcome to this special AI and Machine Learning webinar premiere.
In this webinar, we will be discussing key AI concepts, explore real world applications and look at how AI is influencing modern software development. We will also have the insights into learning paths, tools and skills that can help you stay relevant in an AI driven world.
π Topics to be covered:
Lesson 1 - AI & Machine Learning Fundamentals
β€ Understanding what AI and ML are
β€ How they differ and where they are used
Lesson 2 - Core Building Blocks of Machine Learning
β€ Features and Labels
β€ Algorithms
β€ Training Process
β€ Machine Learning Models
Lesson 3 - Introduction to Regression
β€ What is Regression?
β€ Understanding Regression-based predictions
Lesson 4 - Hands-On Lab: Your First ML.NET Regression Application
β€ Introduction to ML.NET
β€ Understanding MLContext
β€ Key ML.NET Components
β€ Building a simple Regression model
Lesson 5 - Training vs Inference
β€ How models learn
β€ How trained models make predictions
Lesson 6 - AI & ML Learning Roadmap
β€ Recommended learning path
β€ Skills and technologies to focus on
β€ Next steps in your AI/ML journey
If you are interested in understanding AI beyond the hype and want a clear direction on where to begin, this session is for you.
β Do not forget to watch our latest tutorial on C# AI and Machine Learning: youtu.be/d3lqvdXgZjw
#aiml #ai #machinelearning #csharpaiml #machinelearningforcsharpdeveloper










