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Google Cloud
Free Fundamentals Training

Keeping pace with today’s technical roles and requirements.

 

Introduction to Data Engineering on Google Cloud

March 24

9am to 12pm (CST)

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June 23

9am to 12pm (CST)

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September 22

9am to 12pm (CST)

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December 15

10am to 1pm (CST)

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In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

SC-900T00 Microsoft Security, Compliance, and Identity Fundamentals BR

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Getting Started with Terraform for Google Cloud

March 28

9am to 4pm (CST)

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June 27

9am to 4pm (CST)

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September 26

9am to 4pm (CST)

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December 19

10am to 5pm (CST)

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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as a code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building Google Cloud resources using Terraform.

PL900

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Getting Started with Google Kubernetes Engine

March 27

9am to 4pm (CST)

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June 26

9am to 4pm (CST)

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September 25

9am to 4pm (CST)

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December 18

10am to 5pm (CST)

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This course covers an introduction to Kubernetes, a software layer that sits between your applications and your hardware infrastructure. Google Kubernetes Engine (GKE) brings you Kubernetes as a managed service on Google Cloud. This course teaches the basics of GKE and how to get applications containerized and running in Google Cloud. The course covers a basic introduction to Google Cloud, an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.

SC-900T00 Microsoft Security, Compliance, and Identity Fundamentals BR

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Google Cloud Fundamentals: Core Infrastructure

March 26

9am to 4pm (CST)

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June 25

9am to 4pm (CST)

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September 24

9am to 4pm (CST)

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December 17

10am to 5pm (CST)

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Google Cloud Platform is one of the leading cloud services provider in the world. This training will provide you with details of its purpose and value, describe uses and user cases of the available application deployment environments, select the most appropriate storage options as well as basic use of BigQuery, Google's managed data warehouse for analytics. You will also learn the basics of creating and managing cloud resources using templates. Diagnostic, logging, and monitoring are also covered in this introductory course.

PL900

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Introduction to AI and Machine Learning on Google Cloud

March 25

9am to 12pm (CST)

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June 27

9am to 12pm (CST)

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September 26

9am to 12pm (CST)

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December 19

10am to 13pm (CST)

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This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.

SC-900T00 Microsoft Security, Compliance, and Identity Fundamentals BR

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Introduction to Data Analytics on Google Cloud

March 24

1pm to 4pm (CST)

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June 23

1pm to 4pm (CST)

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September 22

1pm to 4pm (CST)

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December 15

2pm to 5pm (CST)

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This course is an introduction to data analytics on Google Cloud. It is designed for learners who have no prior experience with data analytics or Google Cloud. The course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing. It also introduces learners to Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.

PL900

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Empower Decision Makers with Generative AI

March 25

1pm to 4pm (CST)

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June 24

1pm to 4pm (CST)

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September 23

1pm to 4pm (CST)

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December 16

2pm to 5pm (CST)

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This course is an introduction to data analytics on Google Cloud. It is designed for learners who have no prior experience with data analytics or Google Cloud. The course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing. It also introduces learners to Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.

SC-900T00 Microsoft Security, Compliance, and Identity Fundamentals BR

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