Course Description
Our Azure Data Scientist Associate course is for data scientists and ML practitioners who want to build, train, and deploy machine learning models on the Azure Cloud. This certification validates your expertise in applying data science and machine learning concepts to solve business problems using Azure Machine Learning and other data services.
Course Highlights
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Hands-On ML Workflow: You will learn to manage the entire machine learning lifecycle, from data preparation to model deployment. You’ll get hands-on experience using Azure Machine Learning Studio and its tools.
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Deep Dive into Azure ML: The course is a deep dive into Azure Machine Learning (AML), Microsoft’s core platform for building and managing ML models. You’ll learn how to use AML’s features for model training, hyperparameter tuning, and deployment.
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Integration with Data Services: You’ll learn how to integrate AML with other Azure data services like Azure Data Lake Storage and Azure Synapse Analytics to build end-to-end data science solutions.
What You’ll Learn
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Develop ML Models: Master the skills needed to prepare data, train models, and validate model performance.
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Run ML Workloads: Learn to use AML’s features for model training, tuning, and versioning.
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Responsible ML: Understand and apply best practices for responsible AI, including detecting and mitigating bias in models.
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Operationalize ML Solutions: Learn how to deploy models as web services, monitor their performance, and retrain them as needed.
Who This Course Is For
This course is an excellent fit for:
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Data Scientists: Validate your ML skills with a globally recognized certification on the Azure Cloud.
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ML Practitioners: Learn to use Azure’s tools to build and operationalize ML models at scale.
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Data Analysts: Elevate your career by gaining the skills to build and deploy predictive models.
Student Ratings & Reviews
