Azure Machine Learning

Overview

Are you on the hunt for an engaging, comprehensive, and fun course to master Azure Machine Learning and MLOps? Look no further! This unique course, instructed by a dynamic duo, will guide you through both essential and advanced industry-required topics on Azure Machine Learning. Plus, it provides a hands-on end-to-end implementation of Machine Learning Operations (MLOps), which is a fast-growing area with high demand in the industry.

The Azure Machine Learning cloud service accelerates and manages machine learning project lifecycles, making it the perfect tool for data scientists and engineers to incorporate into their workflows. In this course, you’ll find thorough coverage of best practices and key features, preparing you for an exciting career in Machine Learning and MLOps. The course is kept up to date with recent additions, and it also includes some extra materials related to Azure Machine Learning and Databricks (Apache Spark). Join this fantastic learning experience and take the next step in your career!

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Skills you’ll learn

1. Master Azure Machine Learning concepts and techniques
2. Gain hands-on experience with end-to-end MLOps implementation
3. Understand and apply Machine Learning Operations (MLOps) principles and guidelines
4. Enhance your workflow by using Azure Machine Learning and its tools
5. Train, deploy, and manage models with Azure ML, Pytorch, TensorFlow, and scikit-learn
6. Monitor, retrain, and redeploy models using MLOps tools
7. Implement Explainable AI and other best practices in Azure ML
8. Explore Azure Machine Learning’s integration with Databricks (Apache Spark)

Summary

Dive into the fascinating world of Azure Machine Learning and MLOps with this comprehensive course crafted by the talented Mohammad Ghodratigohar. Consisting of 40 captivating lessons, over 2,000 eager learners have already expanded their skill set and achieved an admirable 4.5 out of 5 rating. Embark on a journey from novice to expert alongside a thriving community of like-minded enthusiasts, ready to unlock the full potential of machine learning and MLOps.