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Join this challenge and in 27 hours learn how to build machine learning models, no-code predictive models, and ML solutions, and run data science workloads using Microsoft Azure in a secure, scalable, and responsible way.
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Training and Deploying Your PyTorch Model in the Cloud with Azure ML
Machine Learning Essentials
Foundations of data science for machine learning
Understand data science for machine learning
Create machine learning models
The AI Fundamentals
Watch the ML Essentials series to get familiar with machine learning products and services from Azure and see how to bring these components together to build your own machine learning models.
Lesson 1: Model Deployment and Inferencing
Lesson 2: Machine Learning Operations (MLOps)
Lesson 3: Hybrid and Multi-Cloud Machine Learning
Lesson 4: Interoperability of Machine Learning Environments
Lesson 5: Training ML Models at Scale
Lesson 6: Securing your Machine Learning Environments
Azure Machine Learning
The Azure Machine Learning service empowers data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible machine learning.
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Machine Learning Journey
Learn more about machine learning on Azure and participate in hands-on tutorials with this 30-day learning journey. At the end of this learning journey, you’ll be prepared to take the Azure Data Scientist Associate Certification