DP-100 Microsoft Azure Data Scientist (DS) Exam Preparation

About this course

Course OverviewThis course is designed to prepare you for the DP-100 Microsoft Azure Data Scientist Certification Exam. It covers all the critical topics required to design and implement machine learning solutions using Azure Machine Learning. Through hands-on projects and in-depth lessons, you'll gain practical experience and the confidence to tackle real-world challenges and ace the certification exam.Section 1: IntroductionThis section introduces the course, outlines its objectives, and explains the exam requirements. It sets the stage by familiarizing students with what they’ll achieve and the skills they’ll gain.Section 2: Create an Azure Machine Learning WorkspaceLearn how to create an Azure ML workspace, manage its settings, and navigate the Azure portal and ML Studio. This foundational knowledge ensures you’re ready to work in Azure’s machine-learning environment.Section 3: Azure Learning WorkspaceExplore data storage and dataset management within Azure ML. Learn how to create and manage datasets, preparing data for experiments and machine-learning pipelines.Section 4: Manage Experiment Compute ContextUnderstand compute instances and clusters for running experiments. This section explains setting up and managing compute targets to optimize resource utilization and execution speed.Section 5: Using Azure Machine LearningCreate your first machine-learning pipeline and submit it for execution. Dive into custom coding, error handling, and exploring Azure ML Designer's modules to build robust pipelines.Section 6: Azure Machine Learning ExperienceGet started with Azure SDK, set up your workspace programmatically, and create simple Python programs. Learn how Azure’s SDK streamlines ML tasks.Section 7: Run Training in an Azure Machine Learning EnvironmentUse