AI/ML Fundamentals for Google Cloud Professionals This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project […]
Google Cloud Fundamentals for AWS Professionals introduces key terms, concepts, and terminology when working with Google Cloud.
This course presents and compares many of Google Cloud’s computing and storage services, along with important resource and policy management tools.
Through videos and hands-on labs.
Google Kubernetes Engine: How to better identify and mitigate cost centers? In the ever-changing face of software development, make the most out of your GKE budget by clarifying your billing and reducing costs. Learn how to get a detailed breakdown of your GKE cluster costs, resulting in better visibility.
Google Cloud Storage and BigQuery introduce key terms, concepts, and terminology when working with Google Cloud Storage and BigQuery.
This course presents and compares many of Google Cloud’s storage services, along with important resource and policy management tools.
Through presentations and hands-on labs.
Google Cloud Fundamentals for AWS Professionals introduces key terms, concepts, and terminology when working with Google Cloud.
This course presents and compares many of Google Cloud’s computing and storage services, along with important resource and policy management tools.
Through videos and hands-on labs.
Learn the basics of Google Cloud’s services and get real hands-on experience with Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, BigQuery, and more.