Course Objective:

This learning path will introduce you to the primary machine learning tools on Azure. Even if you don’t have any previous experience with machine learning.

• Prepare data for use by an Azure Machine Learning Studio experiment
• Train a machine learning model in Azure Machine Learning Studio
• Deploy a model trained in Azure Machine Learning Studio to make predictions
• Prepare data for use by an Azure Machine Learning Workbench experiment
• Train a machine learning model in Azure Machine Learning Workbench
• Deploy a model trained in Azure Machine Learning Workbench to make predictions

Course Package:

Course Eligibility:

Microsoft Azure – Machine Learning course is a course which is offered at very selective bases, so, the minimum education qualification is Graduation (completed or pursuing) from a
recognized university. Students who have completed or pursuing their graduation from Engineering streams like –

• B.Tech Computer Science
• Electronics and Communication
• BSc & MSc – Mathematics
• Computers & Statistics.

Module Duration:

The course duration is of 25 hours with 7 modules.

1. Overview & Introduction to machine learning – 3 Hours.
2. Overview & Introduction to Microsoft Azure – Machine Learning – 3 hours.
3. Components of Azure ML – 4 Hours.
4. Build ML models in Python or R – 4 Hours.
5. Automation of ML – 3 Hours.
6. Integration with other services – 4 Hours.
7. Mini Project with demo example – 4 Hours

Course Outcomes:

• Master Data Science and Machine Learning Models using Azure ML.
• Data Processing using Python and Pandas
• AzureML SDK for Python for complete Machine Learning Lifecycle.
• Azure Automated Machine Learning for faster and efficient Machine Learning model development and deployment.
• Understand the concepts and intuition of Machine Learning algorithms.
• Build Machine Learning models within minutes.
• Deploy production-grade Machine Learning algorithms.