Microsoft Machine Learning Course Online

9 Lesson

35 Hours

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igmGuru offers the best Microsoft Azure Machine Learning course online worldwide. This comprehensive training program covers key topics such as understanding core machine learning concepts, building and deploying machine learning models with Azure Machine Learning, working with automated ML (AutoML), leveraging Azure Databricks for big data processing, implementing responsible AI principles, and integrating ML solutions with Azure Cognitive Services. These Microsoft ML course modules are designed by industry experts with over 15 years of experience. Enroll in the Microsoft Machine Learning training today to prepare for certifications like Microsoft Certified: Azure Data Scientist Associate (DP-100) and become certified in advanced AI and machine learning technologies using Microsoft Azure.

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Microsoft Machine Learning Course Online

Microsoft Machine Learning Course Overview

Prerequisites:

Basic understanding of Microsoft Azure and cloud concepts
Familiarity with programming languages (preferably Python)
Knowledge of statistics and probability
Experience with data analysis or data visualization tools (e.g., Pandas, Matplotlib)
Optional: Prior experience with machine learning libraries like scikit-learn or TensorFlow

What You Will Learn:

Fundamentals of Azure Machine Learning
Data preparation and feature engineering in Azure ML
Building, training, and evaluating ML models
Automating ML workflows and deploying models
Managing and monitoring ML models with MLOps
Integrating ML models with Azure Functions and Logic Apps
Preparing for Microsoft DP-100 Certification
Best practices for responsible and secure ML development

Key Features

Instructor Led Training : 35 Hrs
24 X 7 Lifetime Support & Access
1 On 1 Training Option Available
Flexible Schedule
Small Batches
Experienced & Professional Guru's

Course Curriculum

Lesson 1 - Introduction to Machine Learning and Azure ML Platform

1. Overview of machine learning concepts and lifecycle

2. Introduction to Microsoft Azure Machine Learning

3. Setting up Azure ML workspace, compute, and environment

4. Understanding ML development tools (SDKs, Studio, CLI)

Lesson 2 - Data Preparation and Feature Engineering

1. Connecting and importing data into Azure ML

2. Cleaning, transforming, and exploring datasets

3. Feature selection and engineering techniques

4. Data versioning and dataset registration

Lesson 3 - Building and Training ML Models in Azure

1. Choosing algorithms and model types

2. Training models using the Azure ML designer and SDK

3. Using AutoML for rapid prototyping

4. Experiment tracking and model evaluation

Lesson 4 - Model Deployment and Inference

1. Registering models in Azure ML

2. Deploying models as web services (real-time and batch inference)

3. Using endpoints and scoring scripts

4. Securing and scaling deployments

Lesson 5 - Machine Learning Operations (MLOps)

1. Introduction to MLOps and CI/CD for ML

2. Creating and managing ML pipelines

3. Model versioning and retraining strategies

4. Integration with Azure DevOps

Lesson 6 - Responsible ML and Security

1. Responsible AI principles: fairness, transparency, and accountability

2. Securing data and models during training and deployment

3. Managing compliance and regulatory requirements

4. Bias detection and mitigation techniques

Lesson 7 - Integration with Azure Services

1. Using Azure Functions to trigger ML workflows

2. Integrating ML models with Logic Apps and Power BI

3. Real-time insights and dashboarding with ML results

4. Business process automation using ML

Lesson 8 - Monitoring and Troubleshooting ML Models

1. Tracking model performance in production

2. Monitoring resource usage and endpoint availability

3. Handling drift detection and model retraining

4. Troubleshooting errors and scaling deployments

Lesson 9 - DP-100 Certification Preparation

1. Overview of Microsoft DP-100 Certification

2. Key topics and exam domains

3. Sample questions and practice tests

4. Tips and study resources for passing the DP-100

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 35 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 18 Jun 2026
Weekday Batch 22 Jun 2026
Weekend Batch 20 Jun 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

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Want to know Today's Offer

Microsoft Machine Learning Certification Exam

Official Certification Exam:

DP-100: Designing and Implementing a Data Science Solution on Azure

Exam Format:

Duration: DP-100: Approximately 120 minutes
Number of Questions: DP-100: 40–60 multiple-choice and scenario-based questions
Passing Score: Typically around 700 out of 1000 points (varies by exam)
Type: Scenario-based multiple-choice, drag-and-drop, and case study questions
Mode: Online proctored or at authorized test centers

Certification:

Upon successful completion of the course and internal assessments, learners will receive an igmGuru Course Completion Certificate in Microsoft Machine Learning to validate their skills and readiness for the DP-100 certification exam.

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Microsoft Machine Learning Course Online