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Machine Learning with ML.NET & C#: Build Real-World Project

Learn machine learning with C# and ML.NET to build intelligent, data-driven applications using .NET.

Tools & Technologies Covered

C#C#
.NET.NET
ML.NETML.NET
AIAI
SQL ServerSQL Server
VS CodeVS Code
GitHubGitHub
ChatGPTChatGPT
GitHub CopilotGitHub Copilot

Project you will build

Product Recommendation ML.NET
AI-Powered Recommendation Engine

Product Recommendation

Build an intelligent product recommendation system using ML.NET Matrix Factorization to deliver personalized suggestions based on user behavior, ratings, and interactions.

ASP.NET Core ML.NET SQL Server Azure
Explore Project in Curriculum

Where it takes your career

Companies hiring ML.NET & .NET developers

Microsoft Amazon IBM Accenture Cognizant Google
0-1 yr

Junior ML.NET Developer

Learn ML.NET fundamentals, prepare data, and build basic ML models with C# and .NET.

1-3 yr

ML.NET Developer

Build ML.NET solutions with data pipelines, model training, evaluation, and prediction.

3-5 yr

Senior ML.NET Developer

Design production-ready ML solutions, optimize models, and integrate ML into .NET apps.

5+ yr

ML Engineer / AI Solutions Architect

Lead ML architecture, AI integration, model optimization, and enterprise solutions with .NET.

Why ML.NET matters?

Build intelligent, production-ready machine learning applications with ML.NET and .NET.

ML.NET Fundamentals

Learn ML.NET fundamentals and build machine learning solutions using C# and the .NET ecosystem.

ML.NET · C# · .NET
In demand

ML.NET Model Development

Build, train and evaluate machine learning models using ML.NET pipelines and practical development workflows.

Models · Training · Pipelines

Machine Learning Algorithms

Explore classification, regression, clustering and other machine learning algorithms with real-world datasets.

Classification · Regression · Clustering

Production ML Applications

Build real-world ML.NET applications with data preparation, model evaluation, prediction and deployment workflows.

Data · Prediction · Deployment

Who this course is for

  • Students Starting a machine learning career Final-year students and fresh graduates
  • .NET Developers Adding machine learning skills C# and .NET developers
  • Software Developers Want practical ML development skills Software and backend developers
  • Career Growth Preparing for ML.NET & AI roles Working developers and career switchers

See what learning looks like on ScholarHat

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Curriculum — 4 Modules

Machine Learning with ML.NET & C# Course · Open a module to explore lessons, labs & tests.

70 videos 11 labs 10 notes 5 tests 21 Q&A Guides

AI/ML/DL Fundamentals
Introduction to AI, ML & DL 0:19:58
Deep learning 0:04:49
Difference Between ML & DL 0:03:20
ML.NET Overview
What ML.NET Support? 0:04:10
ML.NET Development Process
ML.NET Model Development Option 0:02:25
ML.NET Workflow 0:02:39
Model Evaluation & Deployment
Model Evaluation 0:10:05
Demo: Model Evaluation 0:04:55
Demo: Save Model 0:08:26
Demo: Consume Model 0:12:40

Types of Machine Learning Tasks in ML.NET
Types of Machine Learning Tasks in ML.NET 0:02:41
Binary Classification
Binary Classification 0:03:45
Demo: Binaryclass Classification 0:20:19
Demo: Spam Email Identification 0:18:00
Demo: Sentiment Analysis 0:30:06
Multi Class Classification
Multi Class Classification 0:03:50
Demo: Multiclass Classification 0:31:41
Demo: Image Classification 0:25:56

Regression and Forecasting
Regression 0:03:33
Demo: Regression - Taxi Fare Prediction 0:31:57
Forecasting 0:03:48
Demo: Forecasting - Sale Forecasting 0:24:02
Regression Vs Forecasting 0:04:35
Recommendation & Anomaly Detection
Recommendation 0:03:12
Demo: Recommendation Part-1 0:40:51
Demo: Recommendation Part-2 0:19:24
Anomaly Detection 0:02:44
Demo: Anomaly Detection 0:13:51
AutoML
AutoML 0:05:59
Demo: AutoML 0:26:29
AutoML Programmatic API 0:01:38
Demo: AutoML Programmatic API 0:14:06
Model Optimization Techniques
Model Optimization 0:05:27
Encoding, Normalization & Text Features 0:13:34
Demo: Encoding, Normalization & Text Features 0:19:25
Hyperparameter 0:03:47
Demo: Hyperparameter 0:20:16
Cross-Validation 0:04:55
Demo: Cross-Validation 0:07:53
Overfitting & Underfitting 0:05:29
Demo: Overfitting & Underfitting 0:08:43

Project Setup & Architecture
Database 0:07:38
Creating Layers 0:04:24
Creating Entities & AppDBContext 0:09:16
Completing Core & Infrastructure 0:04:24
API Development
Setting Up API Layer 0:14:39
Completing APIs 0:07:54
Review Sentiment Analysis
Review Sentiment Analyzer Service 0:16:19
Review Sentiment ML Model 0:21:30
Review API Endpoint 0:07:53
Recommendation Engine
Recommendation ML Model 0:15:29
Recommendation Service 0:11:04
Recommendation API Endpoint 0:04:41
Sales Forecasting
Saleforecast-Model 0:10:56
Saleforecast-Service 0:11:09
Saleforecast-API Endpoint 0:05:26
UI Development
Summary & UI Layer 0:04:28
SettingUp UI Layer 0:12:07
Home Page Flow 0:15:13
Login SignUp WorkFlow 0:06:25
Feature Workflows & Project Enhancement
Recommendation WorkFlow 0:07:14
Sentiment Analysis WorkFlow 0:03:57
Sales Forecasting WorkFlow 0:02:29
Enhancing Project Code Quality Using Agents 0:15:36

OUR ALUMNI WORK AT

Trusted by learners whose careers now thrive at leading companies

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50% off
₹2,499 ₹4,998

24 Months access · one-time payment

  • Included: Videos
  • Included: Quick Notes
  • Included: Q&A Guides
  • Not included: Labs
  • Not included: Skill Tests
  • Not included: Project
5-day money-back guarantee
Trusted by 2,00,000+ developers, tech leads and architects Taught by Microsoft MVPs and solution architects
Self-paced membership

Learn at your own pace, everything in one membership

Videos, labs, skill tests and Q&A guides across the self-paced courses.

5-day money-back guarantee

.NET AI + Cloud Pro Membership
Starting at
₹9,999 ₹19,998 50% off

6 Months access · about ₹1,666 a month

  • Recorded video lessons for every course
  • Real hands-on labs and real-world projects
  • Skill tests, quick notes and interview Q&A guides
  • Certificate on completion

Your Certificate

ScholarHat course completion certificate
Program Certificate

Proof you can put on your resume

A verifiable ScholarHat certificate with a unique link.

  • Unique verification link, always live
  • Lists the projects and labs you completed
  • No expiry, no renewal fee
Why learners choose ScholarHat

ScholarHat Self-Paced vs. scattered free tutorials

The videos are free everywhere. What you're actually paying for is the structure, the practice, and the proof that you finished.

4 Guided Modules Not scattered videos
11 Hands-on Labs Not watch-only
5 Skill Tests Certificate on completion
21 Interview Q&A Guides Not on your own

Hear it from our learners

Real stories from people who trained with ScholarHat.

Watch all reviews

Frequently asked questions

Online Self Paced Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs, and Assignments designed to enhance learning outcomes, all at times that are most convenient for you.

All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by ScholarHat to deliver interactive training to the participants.

As soon as you enroll in the course, you will get access to the course content through LMS (The Learning Management System) in the form of a complete set of Videos, PPTs, PDFs, and Assignments. You can start learning right away.

You can enroll in the course by doing payment. Payment can be made using any of the following options.
  1. Visa debit/credit card
  2. Net banking
  3. Through PayPal

Yes, Dot Net Tricks provides student discount to learners who cannot afford the fee. Email us from your student account, or attach your student ID.

In short, no. Check our licensing that you agree to by using ScholarHat LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.

Please drop us an email with a list of user details like name, email you’d like to enroll and have access, we'll create your team accounts.

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You can give us a CALL at +91 113 303 4100 OR email us at enquiry@dotnettricks.com

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