Machine learning and artificial intelligence

Google Cloud Platform Big Data and Machine Learning Fundamentals

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.

Machine Learning with TensorFlow on Google Cloud Platform

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.

Advanced Machine Learning with TensorFlow on Google Cloud Platform

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.

Perform Foundational Data, ML, and AI Tasks in Google Cloud

Learn how to implement the latest machine learning and AI technologies. You'll get practical experience with BigQuery, Cloud Speech API, Cloud ML Engine, Dataflow, Dataprep, and Dataproc.

Intro to ML: Language Processing

Get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, perform sentiment and syntactic analysis, and use the Speech to Text API for transcription.

Scientific Data Processing

Get hands-on practice with Google Cloud services like BigQuery, Dataproc, and TensorFlow by applying them to use cases that employ real-life, scientific data sets.

Explore Machine Learning Models with Explainable AI

Get hands-on practice with Explainable AI, a set of tools and frameworks to help you develop interpretable and inclusive machine learning models and deploy them with confidence.

Look for the courses in the public classroom schedule or request a private session for your organization.

Explore Google Cloud documentation for AI and Machine Learning.