Google Cloud Computing Foundations with Kubernetes

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Course Highlights

This is a beginner-level, hands-on training 5 course series that aims to provide technical proficiency of concepts covering cloud basics, big data, ML & and how the Google Cloud Platform fits in.
Participants will earn digital completion and skill badges from Google Cloud to showcase the completion of the course.
From 15th August onwards until the 15th October, click on the ‘enrol’ button that appears in the Google Cloud landing page or look out for the email which has the next steps.
Only learners who enrol for the program between this period will be provided free access to the Google Cloud course.
Once you enrol by completing all the steps mentioned in Enrolment form - you will get access to the course within 02 weeks and details will be communicated on your registered email address mentioned during Enrolment.
Look out for an email from Cloud Skills Boost to get your access to the Google Cloud Skills Boost course and First set of credits in your account. Once these credits have been used to complete the first 03 modules, additional set of credits will be available to you for further completion of the course.
Enrol and complete the first three courses within 1 month of enrolment.
Job Roles-
- Cloud Infrastructure Analyst

This curriculum will enable learners to develop technical proficiency in cloud computing and launch or pivot their careers in a cloud-first world.
This course is an ideal foundation for diverse career paths including those in IT infrastructure, data analytics, and cloud-native application development.

Learners will be able to discuss what cloud is and why it is critical in today’s world. It will help them to describe the different ways people use and interact with Google Cloud, as well as different computing options.
They will be able to implement structured and unstructured storage models and explain different application managed service options in the cloud.
Students will get to understand how security is administered in Google Cloud and demonstrate how to build secure networks. They will be able to identify cloud automation and management tools, as well as manage big data services in the cloud. Students will also develop a foundational understanding of ML and its value.
Learners will be able to build a comprehensive understanding of Kubernetes Engine Fundamentals and concepts related to networking & security.

Students with little to no background experience in cloud computing looking for an ideal foundation for diverse career paths including those in IT infrastructure, data analytics, and cloud-native application development.
Job Roles-
- Cloud Infrastructure Analyst

The program will cover 5 Key Learning concepts:

Google Cloud Fundamentals - Provides an overview of cloud computing, ways to use Google Cloud and different compute options.
Infrastructure in Google Cloud - Reviews implementing storage models, different managed-service application options and security administration in Google Cloud.
Network & Security in Google Cloud - Covers building of secure networks, cloud automation and management tools.
Data, ML & AI in Google Cloud - Reviews managed big data services, machine learning and its value.
Kubernetes Engine Fundamentals -Provides supplement labs which will help learners build a comprehensive understanding of concepts related to networking, security and the Kubernetes Engine. It is the final course in this series.