Implementing Cloud Load Balancing for Compute Engine
Earned nov. 26, 2023 EST
Generative AI Fundamentals
Earned nov. 26, 2023 EST
Introduction to Responsible AI
Earned août 16, 2023 EDT
Introduction to Large Language Models
Earned août 16, 2023 EDT
Introduction to Generative AI
Earned août 16, 2023 EDT
Getting Started with Terraform for Google Cloud
Earned juin 28, 2023 EDT
Logging and Monitoring in Google Cloud
Earned juin 27, 2023 EDT
Getting Started with Google Kubernetes Engine
Earned juin 27, 2023 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned juin 24, 2023 EDT
Essential Google Cloud Infrastructure: Core Services
Earned juin 15, 2023 EDT
Essential Google Cloud Infrastructure: Foundation
Earned juin 14, 2023 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mai 31, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned mai 30, 2023 EDT
This course is the third part of the SAP on Google Cloud Platform learning path. Following the SAP on Google Cloud Foundations eLearning and the SAP on Google Cloud Self-paced labs. Participants should have completed these two components before. This course consists of hands-on labs that provide a holistic experience of optimally configuring SAP on Google Cloud. Participants will learn to configure SAP on Google Cloud, and what best practices are, leaving the course with actionable experience to configure SAP on Google Cloud and run SAP workloads on Google Cloud for their customers.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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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 code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud.
Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
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Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.
The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
En savoir plus
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
SAP on Google Cloud
Earned nov. 26, 2023 EST
Implementing Cloud Load Balancing for Compute Engine
Earned nov. 26, 2023 EST
Generative AI Fundamentals
Earned nov. 26, 2023 EST
Introduction to Responsible AI
Earned août 16, 2023 EDT
Introduction to Large Language Models
Earned août 16, 2023 EDT
Introduction to Generative AI
Earned août 16, 2023 EDT
Getting Started with Terraform for Google Cloud
Earned juin 28, 2023 EDT
Logging and Monitoring in Google Cloud
Earned juin 27, 2023 EDT
Getting Started with Google Kubernetes Engine
Earned juin 27, 2023 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned juin 24, 2023 EDT
Essential Google Cloud Infrastructure: Core Services
Earned juin 15, 2023 EDT
Essential Google Cloud Infrastructure: Foundation
Earned juin 14, 2023 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mai 31, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned mai 30, 2023 EDT