Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

Who Should Attend

  • Creating cloud resources in Microsoft Azure.
  • Using Python to explore and visualize data.
  • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
  • Working with containers

Course Content

  • Module 1: Getting Started with Azure Machine Learning
  • Module 2: No-Code Machine Learning
  • Module 3: Running Experiments and Training Models
  • Module 4: Working with Data
  • Module 5: Working with Compute
  • Module 6: Orchestrating Operations with Pipelines
  • Module 7: Deploying and Consuming Models
  • Module 8: Training Optimal Models
  • Module 9: Responsible Machine Learning
  • Module 10: Monitoring Models

Frequently Asked Questions

"Designing and Implementing a Data Science Solution on Azure - Course DP-100T01-A Course" trainings are given in ("Group - One to one") two different  ways.
The one-to-one tuition fee is 1,340 $.

"Designing and Implementing a Data Science Solution on Azure - Course DP-100T01-A Course" trainings are given in two different ways.

The tuition fee as a group is 1,210 $. To create a group, you must be at least  3 people.
The one-to-one tuition fee is 1,340 $.

Our "Designing and Implementing a Data Science Solution on Azure - Course DP-100T01-A Course" trainings are one-to-one 3 days,

Our "Designing and Implementing a Data Science Solution on Azure - Course DP-100T01-A Course" trainings are group 2 days,
 

 

Exam & Certification

Participation Certificate

All trainees who participate in training will have an AcademyTech participation certificate.

Exam & Certification

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