Prepare Data for ML APIs on Google Cloud
Earned avr. 10, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned avr. 5, 2023 EDT
Build Infrastructure with Terraform on Google Cloud
Earned avr. 3, 2023 EDT
Set Up an App Dev Environment on Google Cloud
Earned mars 31, 2023 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned mars 30, 2023 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned mars 29, 2023 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned fév. 16, 2023 EST
Certification Learning Path: Professional Cloud Architect
Earned fév. 12, 2023 EST
Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.
En savoir plus
Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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Good news! There’s a new updated version of this learning path available for you!Open the new Professional Cloud Architect Certification Learning Path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.
Prepare Data for ML APIs on Google Cloud
Earned avr. 10, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned avr. 5, 2023 EDT
Build Infrastructure with Terraform on Google Cloud
Earned avr. 3, 2023 EDT
Set Up an App Dev Environment on Google Cloud
Earned mars 31, 2023 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned mars 30, 2023 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned mars 29, 2023 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned fév. 16, 2023 EST
Certification Learning Path: Professional Cloud Architect
Earned fév. 12, 2023 EST