GCP Terraform Tutorial | What Is Terraform | Terraform With Google Cloud | Edureka | GCP -rewind -5

This Edureka video on '𝐆𝐂𝐏 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦' will give you an overview of Terraform with Google Cloud Platform and will help you understand various important concepts that concern GCP Terraform with practical implementation.

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---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬---------

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🔅🔅How it Works?

1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 20 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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🔅🔅About the Course

This course will help you pass the Google Cloud Certification Exam for Cloud Architect. The topics mentioned are strictly in line with the official exam guide provided by Google. The course starts with basics of Cloud Computing and as the course progresses you will understand the GCP core infrastructure, how to manage GCP services such as GCP compute services, GCP database services, GCP security services, GCP networking services, GCP IAM etc. This course will also cover how to use command line tools to import data into Google cloud storage and run query for data analysis.

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🔅🔅Course Objectives

After completing this Google Cloud Certification training, you should be able to:
1. Understand Google Cloud Platform concepts and terminologies
2. Understand GCP products and services
3. Learn methods to develop, implement, and deploy solutions
4. Distinguish between features of similar or related products and technologies
5. Learn to work with the Compute Engine, Cloud Storage, Cloud SQL and Big Query GCP services
6. Manage GCP environments using three different methods (Console, App, Command-Line)
7. Develop knowledge of solution patterns -- methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities
8. Understand basics of Big Data and Machine Learning services of GCP

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