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UdemyAzure Machine Learning & MLOps : Beginner to Advance
4.5(9,676)32k studentsALL LEVELSEnglish
UdemyMachine Learning Operations (MLOps) has shifted from niche to table-stakes—the industry now demands it. This course covers both the platform—Azure Machine Learning—and the discipline—MLOps principles that move models from notebooks to production reliably. The scope is ambitious: comprehensive coverage from fundamentals through advanced topics, with hands-on end-to-end implementation. You'll work with open-source frameworks (PyTorch, TensorFlow, scikit-learn) deployed on Azure, mirroring real-world workflows. The material stays current; it's regularly updated as Azure features evolve and industry best practices mature. Coverage includes explainable AI—the ability to justify predictions—and integration with Databricks for Apache Spark workflows. The course isn't abstract; it's built to prepare you for actual roles in ML engineering and data science. Whether you're transitioning into this career or deepening existing expertise, the structured approach and real implementation exercises are what separate this from survey courses.
A course instructed by me and my digital twin if:
You are looking for a comprehensive, engaging, and fun course for mastering Azure Machine learning ( up to even advanced industry-required topics) plus fully hands-on end-to-end implantation of MLOps ( DevOps for Machine learning on Azure). If yes, then this is the right and very unique course for you!
Machine Learning Operations (MLOps) is a rapidly growing culture nad highly demanded in the industry with a set of principles, and guidelines defined in the machine learning world to deploy a machine learning model into production.
Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models, and manage MLOps.
You can create a model in Azure Machine Learning or use a model built from an open-source platform, such as Pytorch, TensorFlow, or scikit-learn. MLOps tools help you monitor, retrain, and redeploy models.
Key points about this course
Very detailed in-depth and comprehensive coverage
This course will help you prepare for entry into this hot career path of Machine Learning and MLOps
The course is regularly updated with recent features
Best practices and impactful features of Azure ML (e.g, Explainable AI) with its tricks are all covered
Contains some extra videos relevant to Azure Machine Learning and Databricks (Apache Spark)
Price
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Not the best price we've seen. The lowest we've recorded is $11.99 on 3 Aug.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.
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