Cloud Machine Learning with Vertex AI and AutoML

Implementing machine learning no longer requires a PhD in mathematics or years of complex programming experience. Modern cloud platforms allow you to train powerful, production-ready models using your own data with minimal code. This text-based course guides you through the process of preparing data, training models, and deploying predictions using Vertex AI and AutoML. You will transition from understanding core machine learning concepts to managing real-world workflows for text, images, video, and tabular datasets. What you'll learn: - Understand the foundational concepts of cloud-based machine learning and the Vertex AI ecosystem. - Train custom AutoML models to classify text, extract entities, and perform sentiment analysis. - Build computer vision models for image classification, object detection, and video action recognition. - Analyze structured tabular data to perform regression, classification, and time-series forecasting. - Explore foundation models in Vertex AI for basic prompt engineering and modern generative AI workflows. - Deploy trained models to cloud endpoints to serve real-time predictions. The course begins with essential terminology and cloud setup before diving into structured, step-by-step written guides for each major data type. You will read detailed explanations of data preparation, model training parameters, and deployment strategies, supported by practical scenarios and conceptual reviews. This course is designed for beginners, aspiring data analysts, and software developers looking to integrate machine learning into their applications without prior data science experience. No advanced programming background is required. Start your journey into cloud machine learning and unlock the power of automated AI today.