Google Skills Courses

Deploy and Monitor in Google Cloud for AWS Professionals

Map AWS deployment and monitoring habits onto Google Cloud: deploy apps with Cloud Run and monitor Compute Engine instances using Ops Agent.

• Google Skills
• 8 hours
• Self-Paced
• Paid Course

Google Cloud Storage and Containers for Azure Professionals

Map Azure skills onto Google Cloud: compare storage and database options, implement Cloud SQL, and build GKE clusters and Kubernetes deployments through hands-on labs.

• Google Skills
• 16 hours
• Self-Paced
• Paid Course

Deploy and Monitor in Google Cloud for Azure Professionals

Deploy applications with Cloud Run and monitor Compute Engine instances with the Ops Agent, mapping familiar Azure deployment and monitoring practices onto Google Cloud equivalents.

• Google Skills
• 8 hours
• Self-Paced
• Paid Course

Infrastructure and Application Modernization with Google Cloud

Compare cloud compute options and modernize legacy enterprise systems with Compute Engine, Google Kubernetes Engine, App Engine, and Apigee-managed APIs.

• Google Skills
• 8 hours
• Self-Paced
• Free Certificate

Google Cloud Compute and Scalability for Azure Professionals

Map Azure skills onto Google Cloud: build Compute Engine virtual machines, managed instance groups, and configure application and internal network load balancers with autoscaling.

• Google Skills
• 8 hours
• Self-Paced
• Paid Course

Google Cloud Compute and Scalability for AWS Professionals

Compare AWS compute and load balancing with Google Cloud: configure Compute Engine virtual machines, managed instance groups, application load balancers with autoscaling, and internal network load balancers.

• Google Skills
• 8 hours
• Self-Paced
• Paid Course

Developing Containerized Applications on Google Cloud

Build and package container images with Docker and Buildpacks, apply container security best practices, and deploy containerized applications on Cloud Run and Google Kubernetes Engine.

• Google Skills
• 5 hours
• Self-Paced
• Paid Course

Building Applications with Eventarc on Google Cloud

Build and secure event-driven applications with Eventarc: create triggers that route Google Cloud events, and deploy receiver services consuming the CloudEvents format.

• Google Skills
• 8 hours
• Self-Paced
• Paid Course

Logging, Monitoring and Observability in Google Cloud

Monitor and troubleshoot Google Cloud workloads: build Cloud Monitoring dashboards and uptime checks, set SLO-based alerts, route and query logs, and analyze Cloud Audit Logs.

• Google Skills
• 8 hours 30 minutes
• Self-Paced
• Paid Course

Google Cloud Computing Foundations: Cloud Computing Fundamentals

Compare IaaS, PaaS, and SaaS, navigate the Google Cloud console and Cloud Shell, and deploy apps with Compute Engine, App Engine, Cloud Run, and GKE.

• Google Skills
• 8 hours
• Self-Paced
• Paid Course

Attention Mechanism

Learn how attention mechanisms help neural networks focus on relevant parts of input sequences for machine translation, summarization, and question answering.

• Google Skills
• 30 minutes
• Self-Paced
• Free Online Course

Preparing for Your Google Workspace Administrator Journey

Prepare for the Professional Google Workspace Administrator certification with diagnostic questions, knowledge checks, and a personalized workbook for continued study.

• Google Skills
• 8 hours
• Self-Paced
• Free Certificate

Media Rendering with Google Cloud

Use Google Cloud infrastructure—Compute Engine, managed instance groups, storage, and load balancing—for on-demand large-scale visual-effects rendering.

• Google Skills
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Introduction to Generative AI Studio

Use Vertex AI Studio to move from prompts and Gemini multimodal prototypes to deployed generative AI applications.

• Google Skills
• 2 hours
• Self-Paced
• Paid Course

Orchestrating the Cloud with Kubernetes (Azure)

In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.

• Google Skills
• 1-2 hours
• Self-Paced
• Paid Course