Teach, build, and explore without limits
Shape the future with Cloud
Lead the way forward for higher education through teaching, discovery, research, and problem-solving with Google Cloud. Join the community of faculty and researchers who have used the cloud to push computing limits, set students up for success, and scale groundbreaking research. The cloud gives you access to tools that may otherwise be out of reach for your classrooms or labs.
Fund innovative teaching and research
Whether you’re teaching courses on cloud computing, using GCP as an instructional tool in other disciplines, or conducting your own research, Google offers credits and discounts to help you get started.
GCP credits for learning
Explore what you can do with Google Cloud Platform to engage students and enhance teaching. It is the intent of the program that the credits are used by students to learn how to use the cloud for career development purposes. Faculty can apply to receive $100 in GCP credits and $50 per student. Credits can be used in courses, student clubs, and other faculty-sponsored events.
Get hands-on experience using Google Cloud Platform with training for everyone from beginners through advanced users. Faculty can apply for 5,000 Qwiklabs credits, while students and IT enablers can apply for 200 credits. Everyone can request free access to 13 online training courses in Coursera.
Career readiness track
Empower your students to jump-start their careers in cloud technology and innovation with the Associate Cloud Engineer certification. Faculty can access guided resources to help their students along a career readiness path. As an added bonus, receive a discount on the exam — 100% discount available to faculty and 50% off for students.
Transform research data into valuable insights and conduct large-scale analyses with the power of Google Cloud Platform. Research faculty can apply for up to $5,000 in Google Cloud Platform credits for academic research.
Connect and share ideas
Join a discussion forum with faculty members all over the globe who are innovating with Google Cloud. Note: You must verify that you’re a faculty member in order to get access. Please submit a link to your faculty page when applying for group membership.
Courses to get you up to speed
Explore a few courses that are popular with faculty to get started on your own learning journey. Be sure to apply for training credits in order to access the Qwiklabs and Coursera courses at no cost. Don’t forget: Your students can access these for free as well.
Explore G Suite
Get started using G Suite and explore ideas for working together and becoming more efficient. No matter what you teach or research, you can learn by industry, role, or task you need to complete.
GCP Essentials Quest
Introductory / 5 labs, 3 hours
Practice the fundamentals of Google Cloud Platform with hands-on labs. Learn how to get started on GCP and use the tools to increase your computing power and build apps.
Baseline Quest: Data, ML, AI
Introductory / 5 labs, 4 hours
Take your first steps with tools like Big Query, Cloud Speech API, and Cloud ML Engine in this introductory-level quest.
GCP fundamentals: core infrastructure
Intermediate / 8 modules, 11 hours
Get up to speed on important concepts and terminology for working with Google Cloud Platform, including many of the computing and storage options.
GCP fundamentals: big data and machine learning
Intermediate / 7 modules, 11 hours
Dive deeper into Google Cloud Platform and its data processing capabilities, from ingestion to modeling.
Get ready … this is just the beginning
Explore the faculty resources available on Google Cloud so you can hit the ground running.
Computer & data science
Access specific resources and learning materials for the fields of Computer and Data Science.
See how others are powering possibilities with Google Cloud
University of York
Researchers assemble 60 gigabases of microbial DNA in two weeks at the University of York.
Iowa State researchers use machine learning to improve road safety and efficiency.
North Carolina State University
NC State makes teaching and learning more collaborative and creative.
Massachusetts Institute of Technology
MIT professor pushes computing limits with the largest cluster ever built in the public cloud.