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Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, implement, deploy, secure, manage, and scale applications on Google Cloud using Cloud Run.

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 infra...

Ready to become a Google Data Engineer? This Certification Prep Guide provides everything you need to know about the current Google Certified Professional Data Engineer certification and offers helpful tips that IT professionals can use when preparing for the Google Data Engineer exam. Start here!

This course is designed for business users, business leaders, and decision makers who want to understand the transformative potential of generative AI and its impact on their organizations. You'll gain a comprehensive understanding of this technology, learn how it ca...

Learn to design GCP deployments.

This course gives participants a broad study of networking options on Google Cloud Platform. You will explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls, interconnection among networks, load balancing, Cloud DNS, and Cloud CDN.

Cloud Monitoring and Cloud Logging data lets you to integrate the data into your existing reliability, alerting, and incident management processes.

Gemini for Google Workspace provides customers with generative AI features in Google Workspace. In this course, you learn about the main features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

This practical, hands-on course will provide you with a deep dive into the core functionalities of Vertex AI, enabling you to effectively leverage its tools and capabilities for your ML projects.

Learn the value of Google Cloud Platform.