Google Cloud Career Readiness Program
Coach students through one of three tracks as part of an on-demand learning program. Help your students:
- Learn cloud computing fundamentals
- Practice with hands-on labs
- Gain professional credentials
- Prepare for a cloud-first workplace
Why facilitate career readiness
As a faculty facilitator, you will guide your students through the on-demand training, hands-on labs, and certification preparation to prepare for in-demand careers in cloud.
Create student impact
People who have completed Google Cloud training and certification report being more confident and equipped for future careers. 86% feel their resume is more attractive and 79% feel more confident in their future careers.1
See success stories
Review stories from students and institutions who have taken part in the Google Cloud career readiness program. You can read some of the success stories and watch a video of Raehan's career readiness journey.
Track details
By helping students complete the career readiness modules within the prescribed timeline, you can inspire the next generation of professionals.
Explore career readiness tracks
Get access to on-demand training modules, professional
certificates, self-paced labs and skill badges for your
classroom at no charge.
This curriculum is built for student learners who
wish to build cloud literacy and learn to
distinguish and evaluate the capabilities of Google
Cloud and how it can be used to achieve business
goals. This knowledge can be applied to any role
where understanding the purpose and application of
Google Cloud is needed. Duration: 10 hours Prerequisites: None
This 16-week track is ideal for students aspiring
to launch careers in engineering and management
roles related to cloud infrastructure, cloud-native
application development, and data engineering. Duration: 40 hours Prerequisites: - Operating systems - File systems - IP networking stack - Web browsers and servers - Databases - Programming - Working with Linux at the command line - Editing text files from the Linux command line
This 16-week track is ideal for learners who wish
to explore careers in data analytics, business
intelligence, data engineering, and data science.
Duration: 30 hours Prerequisites: - Statistics - ANSI SQL
Frequently asked questions
Review the frequently asked questions and answers about
the Career Readiness Programs from faculty and students
in our
help center.
1Percentages indicate those who strongly or somewhat agree with the statement. Findings are from a survey conducted with Google Cloud certified individuals in May 2019 by an independent third-party research organization.