Stackdriver
In this fundamental-level quest, you will learn the ins and outs of Stackdriver: an important GCP service for generating insights into applications’ health. Stackdriver provides a wealth of information in application monitoring, report logging, and diagnoses. The labs in this quest will give you hands-on practice with Stackdriver, and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data.
Integrating Machine Learning APIs
In this hands-on lab explore the Vision, Speech-to-Text, Translation, and Natural Language APIs and use the APIs to analyse audio recordings and map them to relevant images.
Machine Learning with TensorFlow
In this lab you will learn how to use Google Cloud Machine Learning and Tensorflow to develop and evaluate prediction models using machine learning.
Big Data and Machine Learning Fundamentals (v1.1)
This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform.
Machine Learning with Spark on Google Cloud Dataproc
In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset.
Distributed Machine Learning with Google Cloud ML
Learn the process for partitioning a data set into two separate parts: a training set to develop a model, and a test set to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.
Scikit-learn Model Serving with Online Prediction Using Cloud Machine Learning Engine
In this lab you will build a simple scikit-learn model, upload the model to Cloud Machine Learning Engine, and make predictions against the model.
Real Time Machine Learning with Google Cloud ML
Using Cloud DataProc running on a Hadoop cluster you will analyse a data set using Bayes Classification.
Introduction to Machine Learning with TensorFlow and Cloud ML Engine
Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn machine learning and TensorFlow concepts and develop hands-on skills in developing, evaluating, and productionizing machine learning models.
Predict Housing Prices with Tensorflow and Cloud ML Engine
In this lab you will build an end to end machine learning solution using Tensorflow + Cloud ML Engine and leverage the cloud for distributed training and online prediction.