Microsoft Certified: Azure Data Scientist Associate
- Offered byMicrosoft
Microsoft Certified: Azure Data Scientist Associate at Microsoft Overview
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Microsoft Certified: Azure Data Scientist Associate at Microsoft Highlights
- Earn associate certification after successful completion
Microsoft Certified: Azure Data Scientist Associate at Microsoft Course details
- Manage Azure resources for machine learning
- Run experiments and train models
- Deploy and operationalize machine learning solutions
- Implement responsible machine learning
- Candidates for the Azure Data Scientist Associate certification should have subject matter expertise applying data science and machine learning to implement and run machine learning workloads on Azure
- Responsibilities for this role include planning and creating a suitable working environment for data science workloads on Azure
- In addition, manage, optimize, and deploy machine learning models into production
Microsoft Certified: Azure Data Scientist Associate at Microsoft Curriculum
Create machine learning models
Explore and analyze data with Python
Train and evaluate regression models
Train and evaluate classification models
Train and evaluate clustering models
Train and evaluate deep learning models
Microsoft Azure AI Fundamentals: Explore visual tools for machine learning
Use automated machine learning in Azure Machine Learning
Create a Regression Model with Azure Machine Learning designer
Create a classification model with Azure Machine Learning designer
Classification is a supervised machine learning technique used to predict categories or classes. Learn how to create classification models using Azure Machine Learning designer
Create a Clustering Model with Azure Machine Learning designer
Clustering is an unsupervised machine learning technique used to group similar entities based on their features
Build and operate machine learning solutions with Azure Machine Learning
Introduction to the Azure Machine Learning SDK
Train a machine learning model with Azure Machine Learning
Work with Data in Azure Machine Learning
Work with Compute in Azure Machine Learning
Orchestrate machine learning with pipelines
Deploy real-time machine learning services with Azure Machine Learning
Deploy batch inference pipelines with Azure Machine Learning
Tune hyperparameters with Azure Machine Learning
Automate machine learning model selection with Azure Machine Learning
Explore differential privacy
Explain machine learning models with Azure Machine Learning
Detect and mitigate unfairness in models with Azure Machine Learning
Monitor models with Azure Machine Learning
Explore security concepts in Azure Machine Learning
Build and operate machine learning solutions with Azure Databricks
Get started with Azure Databricks
Work with data in Azure Databricks
Prepare data for machine learning with Azure Databricks
Train a machine learning model with Azure Databricks
Use MLflow to track experiments in Azure Databricks
Manage machine learning models in Azure Databricks
Track Azure Databricks experiments in Azure Machine Learning
Deploy Azure Databricks models in Azure Machine Learning
Tune hyperparameters with Azure Databricks
Distributed deep learning with Horovod and Azure Databricks