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Azure Machine Learning
4.5/5

Level

Advanced

Duration

8 weeks

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What is Azure Machine Learning?

Azure Machine Learning is a comprehensive cloud-based service that enables data scientists, machine learning engineers, and developers to build, train, deploy, and manage machine learning models efficiently. This course on Jast Tech is designed to provide in-depth knowledge of Azure Machine Learning Studio, automated machine learning, model lifecycle management, and MLOps practices. Learners will gain hands-on experience with data preparation, feature engineering, experiment tracking, model training using Python and popular frameworks, and scalable deployment using Azure services. The curriculum covers both no-code and code-first approaches, making it suitable for beginners as well as experienced professionals. Real-world use cases are emphasized to help learners understand enterprise-grade ML workflows, security, monitoring, and performance optimization in the Azure ecosystem. By the end of this training, participants will be able to design end-to-end machine learning solutions, integrate models with business applications, and confidently work on cloud-based ML projects aligned with industry standards.

Job Roles You Can Achieve

After completing this course

  • Solutions Architect
  • Technical Consultant
  • Implementation Specialist
  • System Administrator
  • IT Professional

Azure Machine Learning Curriculum

1
Module 01

Introduction to Azure Machine Learning

This module introduces Azure Machine Learning, its core capabilities, and how it fits into the Azure ecosystem for enterprise AI solutions.

Overview of Azure ML services
Key components and architecture
2
Module 02

Azure ML Workspace and Resources

Learners understand how to set up and manage workspaces, compute targets, and supporting resources required for ML development.

Creating Azure ML workspace
Compute instances and clusters
3
Module 03

Data Preparation and Management

This module focuses on handling structured and unstructured data efficiently for machine learning pipelines.

Data ingestion and storage
Data labeling and preprocessing
4
Module 04

Experiments and Training Models

Covers model training workflows, experiment management, and performance evaluation.

Training with Python SDK
Experiment tracking and metrics
5
Module 05

Automated Machine Learning (AutoML)

Learners explore automated model selection and hyperparameter tuning for faster development.

AutoML concepts
Classification, regression, forecasting

Related Courses

Training Roadmap

Seven intentional milestones — from first session to dream job.

Onboarding

01
  • Meet your industry mentor
  • Define your goals
  • Skill gap assessment

Core Learning

02
  • Live interactive classes
  • AI-curated content
  • Recorded sessions

Hands-on Practice

03
  • Weekly assignments
  • MCQ evaluations
  • Module quizzes

Real Projects

04
  • 3 live industry projects
  • Portfolio building
  • Case studies

Mentorship

05
  • 1:1 doubt sessions
  • Peer collaboration
  • Expert feedback

Certification

06
  • Exam preparation
  • Practice dumps
  • Industry-recognised certificate

Career Launch

07
  • Resume crafting
  • Mock interviews
  • Job placement support

Key Projects

Hands-on experience with real-world scenarios designed for mastery.

Customer Churn Prediction System

This project focuses on building an end-to-end customer churn prediction model using Azure Machine Learning. It covers data ingestion, feature engineering, model training using AutoML, and deployment as a real-time endpoint. The solution enables businesses to identify high-risk customers and take proactive retention actions.

Sales Forecasting Using Azure AutoML

This project involves developing a scalable sales forecasting solution using Azure AutoML. Historical sales data is processed, trained, and evaluated using automated regression models. The final model is deployed for batch inference to support business planning and demand forecasting.

Fraud Detection Model Deployment

This project focuses on creating a fraud detection system using Azure Machine Learning pipelines. It includes data preprocessing, model training, experiment tracking, and secure deployment. The system simulates real-world financial fraud detection workflows used by enterprise organizations.

Available Course Schedules

Select a schedule that works best for you

Weekend

Starts

13 Jun 2026

Time

09:30 AM – 12:30 PM

Duration

8 weeks

Weekdays

Starts

15 Jun 2026

Time

07:00 AM – 09:00 AM

Duration

8 weeks

Weekend

Starts

20 Jun 2026

Time

02:00 PM – 05:00 PM

Duration

8 weeks

Weekdays

Starts

22 Jun 2026

Time

08:00 PM – 10:00 PM

Duration

8 weeks

Need a custom schedule?

Our team will craft the perfect batch for you.

What Our Happy Clients Say

Real Feedback from our clients

What We Offer Beyond Courses

24/7 Support

Round-the-clock assistance

LinkedIn Profile

Professional profile building

Resume Writing

Expert resume crafting

Alumni Guidance

Mentorship from graduates

Interview Prep

Mock interviews & tips

Live Projects

Real-world experience

Review from Tejas Kumar

Tejas Kumar

Review from Sakshi Singh

Sakshi Singh

Review from Sanjay Patel

Sanjay Patel

Specialized Training Programs

JastTech For Corporates

JastTech Courses

Certification Details

Azure Machine Learning – Associate

  • Exam Name

    Azure Machine Learning – Associate

  • Duration

    130 minutes

  • Format

    Multiple Choice & Multi-Response

  • Passing Score

    720 (Scale: 100–1000)

  • Level

    Associate

Certificate of Completion

Prepare

Top Interview Questions

Curated questions with expert answers to help you ace your next interview.

Q1. What is Azure Machine Learning?

Azure Machine Learning is a cloud service that enables building, training, deploying, and managing machine learning models at scale.

Q2. What is an Azure ML Workspace?

It is the top-level resource that organizes experiments, models, compute, datasets, and endpoints.

Q3. What is AutoML in Azure?

AutoML automatically selects algorithms and tunes hyperparameters to produce the best-performing model.

Q4. How does Azure ML support MLOps?

It integrates with CI/CD pipelines, supports model versioning, monitoring, and automated retraining.

Q5. What deployment options are available in Azure ML?

Azure ML supports real-time endpoints, batch inference, and deployment using containers and Kubernetes.

Support

Frequently Asked FAQs

Can't find what you're looking for? Reach out to our support team anytime.

Q1. Who should take this course?

This course is ideal for data scientists, ML engineers, cloud professionals, and developers aiming to build ML solutions on Azure.

Q2. Do I need prior machine learning knowledge?

Basic ML concepts and Python knowledge are recommended, but foundational topics are also covered.

Q3. Is this course hands-on?

Yes, it includes practical labs and real-world scenarios using Azure Machine Learning.

Q4. Does this course cover AutoML and MLOps?

Yes, both Automated ML and MLOps practices are covered in detail.

Q5. Will this help with Azure certifications?

Yes, it aligns well with Azure AI and Data Science certification paths.

The support team was very cooperative and responsive. They made sure all doubts were cleared without delay. Great experience overall.

Vedant Shinde
Vedant Shinde

I had a great experience with the RF Circuit Design course. Thanks to the teaching staff for such a well planned and structured curriculum it really helped me clear my technical certification for my job.

Irfan Shah
Irfan Shah

I enrolled in the Post-Silicon Validation Certification Training at JastTech and found it quite different from typical courses. They focus on debugging techniques and real chip-level scenarios, which gave me a better idea of how things work.

Gayatri Sonawane
Gayatri Sonawane

One thing I really liked about the Data Analyst course at JastTech is their focus on consistency. Regular sessions and tasks help you stay on track and build a daily learning habit. Also, they provide recordings after live sessions, which help in revision.

Sanmitra Kamble
Sanmitra Kamble

I joined JastTech for the DFT course a few months back. At first, I wasn’t sure what to expect, but the classes turned out to be really helpful. The teaching is simple and not too complicated, which helped me keep up.

sachin kumar
sachin kumar

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