• Learning path
• A Cloud Guru

After completing the GCP Data and ML path you’ll have the core skills that you’ll need to ingest, store and analyse data on GCP. You’ll start by learning the basics of how GCP works, what its foundational services are and how they fit together. From there you’ll learn the foundations of machine learning and get hands on with compute, networking, storage, and admin services on which your data solutions will be built as you prepare for your Associate Cloud Engineer certification. You’ll take things to the next level by deep diving into GCPs AI and Database services and get into the nitty gritty of building data solutions on GCP by preparing for your Professional Data Engineer certification. To crown it off you’ll gain GCP development skills to better deploy and manage your data pipelines. These flexible paths let you skip what you know and start at the appropriate lesson, whether you're a total beginner or looking to take your skills to the next level. And like all ACG learning, these paths have a major focus on practical learning using hands-on labs. This path includes three certifications: Google Certified Associate Cloud Engineer, Google Certified Professional Data Engineer, Google Certified Professional Cloud Developer