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Build & Deploy ML Models on Azure Using ML.NET & ASP.NET Core

21st March, 2026
3:00 PM-5:00 PM IST
2 Hours
Live Session
323
Registered
FREE
No Cost
Shailendra Chauhan
Shailendra Chauhan

Microsoft MVP, Founder & CEO at ScholarHat

Overview

Machine Learning is rapidly becoming a core capability in modern applications. From recommendation engines and fraud detection to predictive analytics and intelligent automation, organizations are increasingly integrating machine learning into their software systems.

This master class is designed specifically for .NET developers who want to build intelligent applications using ML.NET and Azure AI services without switching to other ecosystems.

You will learn how to build, train, and deploy machine learning models using C# and ML.NET, and how to integrate these models into ASP.NET Core applications. The session will also demonstrate how developers can deploy and scale ML-powered applications on Azure cloud infrastructure.

Master Class Agenda

1. Introduction to Machine Learning for .NET Developers

  • Understanding Artificial Intelligence, Machine Learning
  • How .NET developers can build AI-powered applications
  • Machine learning lifecycle: Data ? Training ? Evaluation ? Deployment
  • Getting Started with ML.NET
  • Understanding ML.NET components and pipelines

2. Building Your ML Model with ML.NET

  • Data preprocessing and feature engineering
  • Training a regression or classification model
  • Evaluating model performance and accuracy
  • Exporting trained ML.NET models
  • Using ML.NET models in ASP.NET Core APIs

3. Deploying Machine Learning Models on Azure

  • Deploying ML-powered APIs to Azure App Service
  • Integrating Azure AI services with .NET applications
  • Managing ML applications in the cloud

4. Roadmap to Become an AI-Ready .NET Developer

  • Essential AI and machine learning concepts for .NET developers
  • Tools every AI-ready .NET developer should know
  • AI projects that strengthen your portfolio
  • Certifications and learning paths that matter

Who Should Attend?

  • .NET / Backend Developers interested in building AI-powered applications
  • Senior Developers preparing for AI Driven Tech lead roles
  • Tech Leads designing intelligent systems using ML and cloud services
  • Engineers exploring ML.NET and Azure services for real-world solutions
  • Architects planning AI integration into existing .NET applications

Why Join This Masterclass?

Most developers learn how to build applications, but very few understand how to integrate machine learning and AI into real-world systems. In this masterclass you will learn:

  • How .NET developers can build machine learning models using ML.NET
  • How to integrate AI capabilities into applications using Azure services
  • Real-world use cases like prediction, recommendation, and intelligent automation
  • Best practices for deploying and managing ML models in production
  • How modern teams build AI-powered cloud-native applications

This session will help you start thinking like an AI-driven Tech Lead instead of just a developer. If you want to move from .NET Developer to AI-Driven .NET Tech Lead, this masterclass will change how you build intelligent applications.

About Speaker

Speaker image

Shailendra Chauhan (Microsoft MVP, Founder & CEO at ScholarHat)


He is a renowned Speaker, Solution Architect, Mentor, and 10-time Microsoft MVP (2016–2025). With expertise in AI/ML, GenAI, System Design, Azure Cloud, .NET, Angular, React, Node.js, Microservices, DevOps, and Cross-Platform Mobile App Development, he bridges traditional frameworks with next-gen innovations.

He has trained 1 Lakh+ professionals across the globe, authored 45+ bestselling eBooks and 1000+ technical articles, and mentored 20+ free courses. As a corporate trainer for leading MNCs like IBM, Cognizant, and Dell, Shailendra continues to deliver world-class learning experiences through technology & AI.

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