Introduction to the Data and Machine Learning on Google Cloud Platform SpecializationModule 1: Introduction to Google Cloud Platform and its Big Data ProductsIn this module you will be introduced to Google Cloud Platform and the data handling aspects of the platform.Module 2: Foundations of GCP Compute and StorageIn this module, we introduce the foundations of the Google Cloud Platform: compute and storage and introduce how they work to provide data ingest, storage, and federated analysis.9 videos, 3 readingsexpandVideo: Welcome to Foundations of GCP Compute and StorageVideo: CPUs On DemandVideo: Lab 2a OverviewLeyendo: Start Compute Engine Instance (Lab 2a)Video: Lab 2a ReviewVideo: A Global FilesystemVideo: Lab 2b OverviewLeyendo: Interact with Cloud StorageVideo: Lab 2b ReviewVideo: Module 2 ReviewVideo: Module 2 ResourcesLeyendo: Module 2 ResourcesGraded: Module 2 ReviewModule 3: Data Analysis on the CloudIn this module we introduce the common Big Data use cases that Google will manage for you. These are the things that are widely done in industry today and for which we provide easy migration to the cloud.10 videos, 2 readingsexpandVideo: Intro to Managed Services for Common Use CasesVideo: Stepping Stones to TransformationVideo: Your SQL Database in the CloudVideo: Lab 3a OverviewLeyendo: Setup rentals data in Cloud SQLVideo: Lab 3a ReviewVideo: Managed Hadoop in the CloudVideo: Lab 3b OverviewLeyendo: Recommendations ML with DataprocVideo: Lab 3b ReviewVideo: Module 3 ReviewVideo: Module 3 ResourcesGraded: Module 3 ReviewModule 4: Scaling Data Analysis: Compute with GCPThis module is about the more transformational technologies in Google Cloud platform that may not have immediate parallels to technologies that attendees are using (“what’s next”).13 videos, 4 readingsexpandVideo: Intro to Scaling Data Analysis: Change How You Compute with GCPVideo: Fast Random AccessVideo: Interactive, Iterative Development DemoVideo: Warehouse and Interactively Query PetabytesVideo: Lab 4a OverviewLeyendo: Create ML Dataset with BigQuery (Lab 4a)Video: Lab 4a ReviewVideo: Machine Learning with TensorFlowVideo: Training and Creating a Neural Network ModelVideo: Lab 4b OverviewLeyendo: Carry out ML with TensorFlowVideo: Fully Build Machine Learning ModelsVideo: Lab 4c OverviewLeyendo: Machine Learning APIs (Lab 4c)Video: Module 4 ReviewVideo: Module 4 ResourcesLeyendo: Module 4 ResourcesGraded: Module 4 ReviewModule 5: Data Processing Architectures: Scalable Ingest, Transform and LoadIn this module we will introduce you to data processing architectures in Google Cloud Platform: Asynchronous processing with TaskQueues.

Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow.Module 6: Summary of Google Cloud Platform, Big Data, and ML Read more from coursera.org…

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