Azure Machine Learning & MLOps : Beginner to Advance

The most compressive course covering MLOps and machine learning on Azure | Zero to Hero

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)