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ML.NET Course preview Course preview · 2 min

Self-paced · learn on your own schedule

ML.NET Course

Build and integrate ML models into .NET apps with hands-on data preparation, training, evaluation, and AI solutions.

Google 4.6/5 on Google ScholarHat 4.7/5 from learners 111 learners enrolled
70 videos 11 labs 10 notes 5 tests 21 Q&A Guides 1 projects

Self-paced — all 4 Modules unlock instantly, no cohort to wait for.

Tools & Technologies Covered

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

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

Curriculum — 4 Modules

ML.NET Course · Open a module to explore lessons, labs & tests.

70 videos 11 labs 10 notes 5 tests 21 Q&As

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

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Trusted by 2,00,000+ developers, tech leads and architects Taught by Microsoft MVPs and solution architects

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&As Not on your own

Our Students Review

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Currently working in MNC company and i am very new about MVC and Angular js Technology , I joined ScholarHat class for MVC and Angular js , and the quality of teaching is very good as in few weeks I see lots of changes in myself to accept challenges which come in my project related technologies .

Prachi Singhal

Prachi Singhal

Senior Software Engineer

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(4.50)

I am feeling glad after join Dot Net Trick for MEAN Stack Development Program.In IT Sector Technology is changing day by day.if we want to learn New Technology,The Dot Net Trick Provide Best valuable content and technique for Switch new Job and improve Self confidence,coding skill. I am very happy to part of Dot Net Trick.thank you Dot net trick team.

Akash Saini

Akash Saini

Software Developer

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(5.00)

The Angular training was a great experience. Scholarhat helps to make your concepts clear.Learning with hands on activities really helps me. The trainer was approachable and he ensured all the participants are at the same level of understanding. Thanks Scholarhat

Khyati Sharma

Khyati Sharma

Java Developer

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(4.50)

It's a great learning with ScholarHat. I spent a lot of time on the internet, read many blogs to identify the best training platform, and then I found ScholarHat. I got in touch with the ScholarHat support team and got the program I was looking for. I have completed my course and believe me I have a great experience, The Trainers are really knowledgeable and have provided the best training sessions. All the best Team ScholarHat.

Suraj Maddheshiya

Suraj Maddheshiya

Blogge

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(5.00)

Good exposure of knowledge for angular 2 & 4 development . The course was interesting, well Organised and interactive. I was able to connect well because of the real time example which were discussed during the session. Scholarhat the best online/ offline learning platform in India. Thank you for all the support.

Harsh Verma

Harsh Verma

Senior System Engineer

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(4.50)

Frequently asked questions

Q1. What is Self Paced course offered by ScholarHat?
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.
Q2. Who are your mentors?
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.
Q3. How would I get access to the Learning Content?
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.
Q4. How do I enroll for the course?
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
Q5. Student discounts?
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.
Q6. Can I share my course with someone else?
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.
Q7. How do I setup my team?
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.
Q8. Do you provide technology version upgrade session free?
Yes, we do. As the technology upgrades your content gets updated at no cost.
Q9. Whom do I contact, if I have more queries?
You can give us a CALL at +91 113 303 4100 OR email us at enquiry@dotnettricks.com
Q10. Do you offer certificates of completion?
We do. Once you've finished a course, reach out to us.
Still have some questions? Let's discuss.
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