Google Cloud Fundamentals: Core Infrastructure
Earned sept. 10, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned août 7, 2024 EDT
Introduction to Vertex AI Studio
Earned juil. 18, 2024 EDT
Gemini for DevOps Engineers
Earned juil. 5, 2024 EDT
Gemini for Data Scientists and Analysts
Earned juil. 4, 2024 EDT
Enterprise Search on Generative AI App Builder
Earned juil. 3, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juil. 3, 2024 EDT
Introduction to Responsible AI
Earned juil. 3, 2024 EDT
Gemini for Cloud Architects
Earned mai 30, 2024 EDT
Introduction to Large Language Models
Earned mai 30, 2024 EDT
Introduction to Generative AI
Earned mai 29, 2024 EDT
Modernizing Retail and Ecommerce Solutions with Google Cloud
Earned mai 29, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned mai 29, 2024 EDT
Anthos Service Mesh
Earned juin 25, 2021 EDT
DEPRECATED Application Development - Python
Earned juin 25, 2021 EDT
Build a Website on Google Cloud
Earned juin 18, 2021 EDT
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 learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models. Through immersive lessons, engaging demos, and a hands-on lab, you'll explore the generative AI workflow and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuning. The aim is to enable you to unlock the potentials of these models in your projects with Vertex AI Studio.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps engineers manage infrastructure. You learn how to prompt Gemini to find and understand application logs, create a GKE cluster, and investigate how to create a build environment. Using a hands-on lab, you experience how Gemini improves the DevOps workflow.
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
Duet AI was renamed to Gemini, our next-generation model.
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Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use Generative AI App Builder to integrate enterprise-grade generative AI search.
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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 7 AI principles.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow.
Duet AI was renamed to Gemini, our next-generation model.
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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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In this course, you will learn about the various services Google Cloud offers for modernizing retail applications and infrastructure. Through a series of lecture content and hands-on labs, you will gain practical experience deploying cutting-edge retail and ecommerce solutions on Google Cloud.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on Google Cloud. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.
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In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Python. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Python applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Python applications straight away.
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Earn the introductory skill badge by completing the Build a Website on Google Cloud course. This course is based on the series Get Cooking in Cloud, where you learn how to: Deploy a website on Cloud Run; Host a web app on Compute Engine; Create, deploy, and scale your website on Google Kubernetes Engine; Migrate from a monolithic application to a microservices architecture using Cloud Build. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.
Google Cloud Fundamentals: Core Infrastructure
Earned sept. 10, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned août 7, 2024 EDT
Introduction to Vertex AI Studio
Earned juil. 18, 2024 EDT
Gemini for DevOps Engineers
Earned juil. 5, 2024 EDT
Gemini for Data Scientists and Analysts
Earned juil. 4, 2024 EDT
Enterprise Search on Generative AI App Builder
Earned juil. 3, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juil. 3, 2024 EDT
Introduction to Responsible AI
Earned juil. 3, 2024 EDT
Gemini for Cloud Architects
Earned mai 30, 2024 EDT
Introduction to Large Language Models
Earned mai 30, 2024 EDT
Introduction to Generative AI
Earned mai 29, 2024 EDT
Modernizing Retail and Ecommerce Solutions with Google Cloud
Earned mai 29, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned mai 29, 2024 EDT
Anthos Service Mesh
Earned juin 25, 2021 EDT
DEPRECATED Application Development - Python
Earned juin 25, 2021 EDT
Build a Website on Google Cloud
Earned juin 18, 2021 EDT