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.
Getting Started with Google Kubernetes Engine. Accelerate Your Containerization Journey with Google Kubernetes Engine (GKE).
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.
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 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.
Deskforce implements Google Compute Engine on Google Cloud Platform to reduce client onboarding from days to minutes and enable rapid scaling, offering clients a faster and more stable service.