Data Science and Machine Learning Engineering on Microsoft Azure

The Data Science and Machine Learning Engineering on Microsoft Azure course is designed for professionals aiming to apply data science and machine learning to Azure workloads. This course equips learners with the skills to design, implement, and optimize machine learning solutions using Azure Machine Learning, MLflow, and Azure AI services. Participants will gain hands-on experience in data ingestion, preparation, model training, deployment, and monitoring. The specialization is divided into four key courses: Azure ML: Designing & Preparing Machine Learning Solutions Azure ML: Explore & Configure the Machine Learning Workspace Azure ML: Deploying, Managing, and Experimenting with Models Azure AI & ML: Optimize Language Models for AI Applications These courses are further divided into Modules, Lessons, and Video Items. All the courses have a set of Practice and Graded assignments available that test the candidate's ability to understand the concepts and grasp the topics discussed in the courses. This specialization validates your ability to: Design and implement a data science environment. Prepare and explore data for ML workflows. Train and evaluate models using MLflow & Azure AI services. Deploy and monitor ML models for scalable AI applications.