Machine Learning on Google Cloud with AutoML and VertexAI

About this course

Welcome to "Automated Machine Learning on Google Cloud with AutoML" — a holistic course designed for enthusiasts eager to master the cutting-edge tools of Vertex AI and AutoML on the Google Cloud platform. This course seamlessly guides you through the vast and intricate realm of AI, ensuring both beginners and intermediates find valuable insights.The journey begins with a comprehensive introduction to the world of AI, setting the stage for what's to come. As you progress, you'll delve into the Vertex AI and AutoML Overview, a module meticulously crafted to offer an enlightening look into these dynamic tools and their boundless potential.Our specialized sections on Text Data unravel the art and science of processing and classifying vast textual information. Here, you'll learn not just the basics, but also advanced techniques, especially how to extract entities from text, offering invaluable insights into data.For visual enthusiasts, our chapters on Video Data open a window to the intricate world of video processing. Beyond mere understanding, you'll venture into the action recognition model, discovering how to spot specific actions and nuances within video frames.The course ensures you're not confined to one type of data. We branch into Tabular Data and time-series forecasting, giving you a robust understanding of structured data and the art of predicting future data points using historical trends.Images, in today's digital age, speak louder than words. Our modules on Image Data Classification and Object Detection in Images guide you through the end-to-end process, from understanding raw image data to building, training, and deploying sophisticated classification models. Further enriching the learning experience, we have incorporated a hands-on lab module, guiding you to Build a Covid Detection Model using image classification.Lastly, f

Course objectives

• to equip learners with the tools and knowledge to leverage Google Cloud for machine learning applications
• to provide hands-on experience with various types of data processing and modeling
• to enhance understanding of machine learning principles and techniques