Highlights
Module 1: Getting Started with Azure Machine Learning
Module 2: Visual Tools for 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
If you want detailed information please click here
Who Should Attend
Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.
Specifically:
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
To gain these prerequisite skills, take the following free online training before attending the course:
Explore Microsoft cloud concepts.
Create machine learning models.
Administer containers in Azure
If you are completely new to data science and machine learning, please complete Microsoft Azure AI Fundamentals first.
Target Audience
Data Scientist
/
Data Engineer & Data Analyst
Personas
Data Engineer & Data Analyst