Azure Machine Learning enables building, training, deploying, and managing machine learning models at scale using Microsoft Azure’s enterprise-grade cloud platform.
Azure Machine Learning enables building, training, deploying, and managing machine learning models at scale using Microsoft Azure’s enterprise-grade cloud platform.
Level
Advanced
Duration
8 weeks
















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.
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
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.
Azure ML Workspace and Resources
Learners understand how to set up and manage workspaces, compute targets, and supporting resources required for ML development.
Data Preparation and Management
This module focuses on handling structured and unstructured data efficiently for machine learning pipelines.
Experiments and Training Models
Covers model training workflows, experiment management, and performance evaluation.
Automated Machine Learning (AutoML)
Learners explore automated model selection and hyperparameter tuning for faster development.
Seven intentional milestones — from first session to dream job.
Hands-on experience with real-world scenarios designed for mastery.
Customer Churn Prediction System
Sales Forecasting Using Azure AutoML
Fraud Detection Model Deployment
Select a schedule that works best for you
Starts
13 Jun 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
15 Jun 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
20 Jun 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
22 Jun 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Our team will craft the perfect batch for you.
Real Feedback from our clients
Round-the-clock assistance
Professional profile building
Expert resume crafting
Mentorship from graduates
Mock interviews & tips
Real-world experience



Azure Machine Learning – Associate
130 minutes
Multiple Choice & Multi-Response
720 (Scale: 100–1000)
Associate

Prepare
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
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.
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Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
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