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
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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.
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- Technical Consultant
- Implementation Specialist
- System Administrator
- IT Professional
Azure Machine Learning Curriculum
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.
Related Courses
Training Roadmap
Seven intentional milestones — from first session to dream job.
Onboarding
- Meet your industry mentor
- Define your goals
- Skill gap assessment
Core Learning
- Live interactive classes
- AI-curated content
- Recorded sessions
Hands-on Practice
- Weekly assignments
- MCQ evaluations
- Module quizzes
Real Projects
- 3 live industry projects
- Portfolio building
- Case studies
Mentorship
- 1:1 doubt sessions
- Peer collaboration
- Expert feedback
Certification
- Exam preparation
- Practice dumps
- Industry-recognised certificate
Career Launch
- Resume crafting
- Mock interviews
- Job placement support
Key Projects
Available Course Schedules
Select a schedule that works best for you
Starts
10 Oct 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
12 Oct 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
17 Oct 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
19 Oct 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Need a custom schedule?
Our team will craft the perfect batch for you.
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Well-structured, up-to-date curriculum designed by industry experts to build strong fundamentals and advanced knowledge.
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Learn from certified professionals with years of industry experience and teaching expertise.
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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

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.
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Hyderabad
JastTech
Training & Development Center
91 Springboard Business Hub ,Madhapur LVS Arcade, 71, Jubilee Enclave, HITEC City, Hyderabad,India Telangana 500081
Pune
JastTech
Training & Development Center
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
Noida
JastTech
Training & Development Center
B 8, B Block, Sector 2, Noida, Metro Station Rd, near sector 15 Metro, Uttar Pradesh 201301
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