About Building Machine Learning Models in Microsoft Azure course
Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn both the underlying concepts and how to get started building models using the most common machine learning tools, this course is for you. In this course, you will learn the fundamental principles of machine learning and how to use common tools and frameworks to train, evaluate, and operate machine learning models. This course is designed to prepare you for roles that involve planning and creating a suitable production environment for data science workloads on Azure. You will learn how to conduct experiments with data and train predictive models. In addition, you will manage, optimize, and deploy machine learning models in production. From the most basic classical machine learning models to exploratory data analysis and tuning architectures, you will be guided by easy-to-digest conceptual content and interactive Jupyter notebooks. If you already have some understanding of machine learning or a strong mathematical background, this course is ideal for you. These modules teach some machine learning concepts, but they move quickly so you can move on to using tools like scikit-learn, TensorFlow, and PyTorch. This learning path is also best for you if you’re looking for enough knowledge to understand machine learning examples for products like Azure ML or Azure Databricks. It’s also a good place to start if you’re planning to move beyond classic machine learning and get an education in deep learning and neural networks, which we’re just introducing here. This program consists of 5 courses that will help you prepare for the DP-100: Designing and Implementing a Data Science Solution on Azure exam. The certification exam provides the opportunity to validate your knowledge and experience with machine learning solutions at cloud scale using Azure Machine Learning. This specialization will teach you how to use your existing Python and machine learning knowledge to manage data ingest and preparation, model training and deployment, and monitoring machine learning solutions on Microsoft Azure. Each course teaches you the concepts and skills that are assessed on the exam.
