Cloud Platform AI and Machine Learning Foundations

Cloud technology has made artificial intelligence accessible to everyone, but navigating the vast ecosystem of tools can be overwhelming. This text-based course guides you through the essentials of cloud-based AI and machine learning, taking you from foundational concepts to managing your own predictive and generative AI workflows. * Learn the fundamentals of the data-to-AI lifecycle, from data ingestion to model deployment. * Understand the key differences between predictive machine learning and modern generative AI frameworks. * Explore cloud tools to train and evaluate machine learning models with minimal coding. * Apply basic prompt engineering principles and understand how large language models integrate into cloud applications. * Configure pipelines to clean, prepare, and structure data for machine learning tasks. * Discover modern practices for monitoring and maintaining deployed models over time. You will begin by mastering core terminology and basic data concepts before moving into structured, step-by-step written walkthroughs of cloud-based AI workflows. This course is designed specifically for beginners, requiring no prior background in data science, cloud architecture, or programming. Start reading today to build your foundational cloud AI skills.