Students will get hands-on exposure with built-in Azure labs that are designed to help students put theory into practice, all within Udacity's classroom environment. To round it up, students will have the opportunity to show off their talents by completing a capstone project based on a real-life data science scenario.
Julia White Corporate Vice President, Microsoft Azure
Earlier this year, we empowered over 10,000 students from all over the world to learn the basics of machine learning over the course of four months. We are excited to announce the next stage of skilling with the availability of an advanced machine learning nanodegree on Udacity. Starting today, students can enroll for the Machine Learning Engineer for Microsoft Azure Nanodegree Program.
This new nanodegree program offers students the opportunity to develop deeper technical skills in machine learning (ML). Students will strengthen their skills by building and deploying sophisticated ML models using Azure Machine Learning. They will learn how to train ML models, manage ML pipelines, and tune hyperparameters to improve model performance. Once the model is ready, students will learn how to operationalize the model with the right MLOps practices, including automation, CI/CD, and monitoring.
Students will get hands-on exposure with built-in Azure labs that are designed to help students put theory into practice, all within Udacity’s classroom environment. To round it up, students will have the opportunity to show off their talents by completing a capstone project based on a real-life data science scenario. By the end of this program, students will also be well-prepared to earn the Azure Data Scientist Associate certification.
We also want to congratulate the top 300 students of the introductory ML course who are receiving a scholarship for the Nanodegree program.
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