This course, Preparing for Your Associate Cloud Engineer Journey - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Preparing for Your Associate Cloud Engineer Journey.
This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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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 Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
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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 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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Preparing for Your Associate Cloud Engineer Journey - Locales
Earned нояб. 8, 2023 EST
Use Machine Learning APIs on Google Cloud
Earned сент. 29, 2023 EDT
BigQuery for Machine Learning
Earned сент. 20, 2023 EDT
Create ML Models with BigQuery ML
Earned сент. 20, 2023 EDT
Prepare Data for ML APIs on Google Cloud
Earned сент. 15, 2023 EDT
Build a Secure Google Cloud Network
Earned сент. 15, 2023 EDT
Set Up an App Dev Environment on Google Cloud
Earned сент. 13, 2023 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned сент. 6, 2023 EDT