Machine learning and artificial intelligence
Data Scientist Track
Learn the basics of Google Cloud's big data and machine learning capabilities. Through this course, you’ll learn how to use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud. You’ll gain practical knowledge of BigQuery and Datalab to carry out your own interactive data analysis, and you'll train a neural network using TensorFlow.
In this course you will experiment with end-to-end machine learning on Google Cloud, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs.
This course picks up where Machine Learning with TensorFlow on Google Cloud Platform left off. It teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text, and ends with building recommendation systems.