Techpratham’s Azure Machine Learning Training equips learners with cloud-based machine learning expertise. You’ll explore Azure ML Studio, data preparation, model training, deployment, and monitoring in real-time. The course covers AutoML, pipelines, responsible AI practices, and integration with MLOps. By the end, you’ll be able to build scalable ML solutions and deploy enterprise-ready AI applications on Azure.
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Azure Machine Learning
With Techpratham, you can learn how to design, build, and deploy ML models on the cloud using Azure Machine Learning. Get real-world experience with automated ML, pipelines, and MLOps integration.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 weeks
Placement Client
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About Azure Machine Learning
Training Plan
01
About trainer
Working professional who is carrying more then 10 years of industry experience.
02
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
03
e-Book
E-book provided by TechPratham. All rights reserved.
04
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
05
Video Recording
Daily Session would be recorded and shared to the candidate.
06
Projects
Live projects will be provided for hands-on practice.
07
Resume Building
Expert-guided resume building with industry-focused content support.
08
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
<h1><strong>Azure Machine Learning</strong></h1> Course Curriculum
Introduction to Azure Machine Learning
Get started with Azure ML concepts and platform overview.
Azure ML Studio Overview
Workspaces & Datasets
Compute Resources
Role of AI in Cloud
Key Features & Benefits
Azure ML Workspace & Setup
Set up and configure an Azure ML workspace, understand its components, and manage compute resources effectively.
Workspace Creation
Resource Management
Compute Instances
Environment Setup
Data Preparation & Management
Learn how to import, clean, and preprocess datasets using Azure ML Studio and SDK for better model training.
Data Import
Data Cleaning
Feature Engineering
Data Stores
Model Development with Azure ML
Build machine learning models using Azure ML Designer, AutoML, and Jupyter Notebooks.
Azure ML Designer
AutoML Experiments
SDK for Python
Jupyter Integration
Training & Hyperparameter Tuning
Train ML models at scale using Azure ML pipelines and optimize them with hyperparameter tuning techniques.
Training Pipelines
Distributed Training
Hyperparameter Tuning
Checkpoints
Model Deployment & Serving
Deploy machine learning models as REST APIs or endpoints for real-time and batch inference.
Deployment Options
Real-time Endpoints
Batch Scoring
REST APIs
Learn Ai Courses
No related courses found
Additional Program Highlights
Comprehensive study materials and resources
HD
Professional resume building session
HD
Master your interview skills
HD
Real-world project demonstrations
HD
Upcoming Batches
Can't find a batch you were looking for?
Who Should Take <h1><strong>Azure Machine Learning</strong></h1>
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1><strong>Azure Machine Learning</strong></h1>
Customer Churn Prediction using AutoML
Train a lot of models on a customer dataset with Azure ML AutoML. Set up the best model as a real-time endpoint and see how well it works at predicting customer churn in a telecom company.
AI-Powered Image Classification on Azure
Use Azure ML to make a deep learning model that can sort images, like medical scans or product photos. As a scalable API service, use pipelines to preprocess, train, and deploy the model.
MLOps Workflow for Fraud Detection
Create a way to find fraud that keeps getting better over time. Use GitHub and Azure DevOps to set up CI/CD, keep an eye on how well your model works, and make sure you get alerts for problems right away.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Latest Hiring
No hiring posts
Recently Placed Candidates
No placements available
Latest Hiring
No hiring posts
Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
Feature
TechPratham Advantage
Industry Standard Institutes
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Why should I learn Azure Machine Learning when I already know Python ML libraries?
What is Azure Machine Learning?
Why should I use Azure Machine Learning?
Do I need coding experience for Azure Machine Learning?
What are the main use cases of Azure ML?
How does Azure ML support MLOps?
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