Become a Machine Learning Engineer for Microsoft Azure
At 5-10 hrs/week
Get access to classroom immediately on enrollment
In Collaboration With
Prior experience with Python, Machine Learning, and StatisticsSee detailed requirements.
Machine learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines in Azure, identify use cases for Automated Machine Learning, and use the Azure ML SDK to design, create, and manage machine learning pipelines in Azure.Optimizing an ML Pipeline In Azure
This course covers a lot of the key concepts of operationalizing machine learning, from selecting the appropriate targets for deploying models, to enabling Application Insights, identifying problems in logs, and harnessing the power of Azure’s Pipelines. All these concepts are part of core DevOps pillars that will allow you to demonstrate solid skills for shipping machine learning models into production.Operationalizing Machine Learning
The program capstone gives you the opportunity to use the knowledge you have obtained from this Nanodegree program to solve an interesting problem. You will have to use Azure’s Automated ML and HyperDrive to solve a task. Finally, you will have to deploy the model as a webservice and test the model endpoint.Training and Deploying a Machine Learning Model in Azure
Founder of Pragmatic AI Labs
Noah Gift teaches and consults at top universities and companies globally, including Duke and Northwestern. His areas of expertise are Machine Learning, MLOps, A.I., Data Science, and Cloud Architecture. Noah has authored several bestselling books, including Python for DevOps.
Alfredo Deza is a passionate software engineer, avid open source developer, Vim plugin author, photographer, and former Olympic athlete. He has rebuilt company infrastructure, designed shared storage, and replaced complex build systems, always in search of efficient and resilient environments.
Principal AI Researcher | Rapid7
Erick Galinkin is a hacker and scientist specializing in Applying Artificial Intelligence to Cybersecurity problems and the Theory of Machine Learning. He is also a researcher at the Montreal AI Ethics Institute focusing on applying DevOps principles to the security and ethics of machine learning systems.
Graduate Student at the Nanyang Technological University
Soham is an Intel® Software Innovator and a former Deep Learning Researcher at Saama Technologies. He is currently a Masters by Research student at NTU, Singapore. His research is on Edge Computing, IoT and Neuromorphic Hardware.
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