Foundations of Machine Learning on Azure

Machine learning is transforming industries, but getting started with complex algorithms and infrastructure can feel overwhelming. This course simplifies the journey by introducing you to cloud-based machine learning using Azure. You will transition from understanding basic data concepts to confidently setting up, training, and evaluating machine learning models. By learning how to leverage cloud resources, you will be able to build predictive models without needing a deep background in advanced mathematics. What you'll learn: Learn the foundational concepts of machine learning, including supervised and unsupervised learning; Configure your cloud machine learning workspace and manage data assets securely; Build and train predictive models using Automated Machine Learning (AutoML) for rapid prototyping; Evaluate model performance using key metrics like accuracy, precision, and recall; Deploy trained models as endpoints for real-time predictions; Understand basic MLOps concepts to keep your models updated and monitored in production. The course begins with essential terminology and core machine learning principles before guiding you through the cloud ecosystem. You will read clear, step-by-step explanations of how to prepare data, train models, and manage cloud resources effectively. This text-based course is designed for beginners, aspiring data scientists, and IT professionals who want to understand cloud-based machine learning, with no prior cloud or programming experience required. Start reading today to build your foundational skills in cloud machine learning.