Logging and Monitoring in Google Cloud
Earned sept. 29, 2024 EDT
Getting Started with Google Kubernetes Engine
Earned sept. 14, 2024 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned sept. 11, 2024 EDT
Essential Google Cloud Infrastructure: Foundation
Earned sept. 8, 2024 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned août 31, 2024 EDT
Developing a Google SRE Culture
Earned fév. 19, 2024 EST
Migrating VMware to Google Cloud VMware Engine
Earned jan. 29, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned mai 19, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned mai 8, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mai 2, 2022 EDT
This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.
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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 course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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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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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
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Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.
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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
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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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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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Welcome to the second part of the two part course, Observability in Google Cloud.
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
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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.
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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, 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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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.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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This course educates partners on key concepts around deploying Google Cloud VMware Engine (GCVE) and leveraging HCX to migrate VMs from on-premises VMware to GCVE.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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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.
Reliable Google Cloud Infrastructure: Design and Process
Earned mars 18, 2025 EDT
Generative AI Fundamentals
Earned mars 13, 2025 EDT
Boost Productivity with Gemini in BigQuery
Earned mars 13, 2025 EDT
Text Prompt Engineering Techniques
Earned mars 11, 2025 EDT
Introduction to Vertex AI Studio
Earned mars 10, 2025 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mars 7, 2025 EST
Introduction to Responsible AI
Earned mars 6, 2025 EST
Generative AI for Business Leaders
Earned mars 6, 2025 EST
Build Infrastructure with Terraform on Google Cloud
Earned oct. 19, 2024 EDT
Develop Your Google Cloud Network
Earned oct. 16, 2024 EDT
Set Up an App Dev Environment on Google Cloud
Earned oct. 14, 2024 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned oct. 8, 2024 EDT
Getting Started with Terraform for Google Cloud
Earned oct. 8, 2024 EDT
Observability in Google Cloud
Earned oct. 5, 2024 EDT
Essential Google Cloud Infrastructure: Core Services
Earned oct. 3, 2024 EDT
Logging and Monitoring in Google Cloud
Earned sept. 29, 2024 EDT
Getting Started with Google Kubernetes Engine
Earned sept. 14, 2024 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned sept. 11, 2024 EDT
Essential Google Cloud Infrastructure: Foundation
Earned sept. 8, 2024 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned août 31, 2024 EDT
Developing a Google SRE Culture
Earned fév. 19, 2024 EST
Migrating VMware to Google Cloud VMware Engine
Earned jan. 29, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned mai 19, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned mai 8, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mai 2, 2022 EDT