Understanding Google Cloud Security and Operations
Earned Nov 17, 2021 EST
Infrastructure and Application Modernization with Google Cloud
Earned Nov 17, 2021 EST
Innovating with Data and Google Cloud
Earned Nov 17, 2021 EST
Introduction to Digital Transformation with Google Cloud
Earned Nov 17, 2021 EST
Networking in Google Cloud
Earned Nov 12, 2021 EST
Build and Secure Networks in Google Cloud
Earned Nov 12, 2021 EST
Language, Speech, Text, & Translation with Google Cloud APIs
Earned Nov 10, 2021 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Nov 10, 2021 EST
Cloud SQL
Earned Nov 8, 2021 EST
Set Up and Configure a Cloud Environment in Google Cloud
Earned Nov 5, 2021 EDT
Insights from Data with BigQuery
Earned Nov 4, 2021 EDT
BigQuery Basics for Data Analysts
Earned Nov 4, 2021 EDT
Baseline: Deploy & Develop
Earned Nov 3, 2021 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned Nov 1, 2021 EDT
Google Cloud Computing Foundations: Networking and Security in Google Cloud
Earned Nov 1, 2021 EDT
Intro to ML: Language Processing
Earned Oct 31, 2021 EDT
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Earned Oct 30, 2021 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Oct 30, 2021 EDT
Baseline: Data, ML, AI
Earned Oct 30, 2021 EDT
Kubernetes in Google Cloud
Earned Oct 30, 2021 EDT
Cloud Engineering
Earned Oct 29, 2021 EDT
Baseline: Infrastructure
Earned Oct 29, 2021 EDT
Create and Manage Cloud Resources
Earned Oct 28, 2021 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned Oct 26, 2021 EDT
Google Cloud Essentials
Earned Oct 26, 2021 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned Oct 22, 2021 EDT
This course examines cost management, security, and operations in the cloud. First, it explores how businesses can choose to maintain some or none of their own infrastructure by purchasing IT services from a cloud provider. Next, it explains how the responsibility of data security is shared between the cloud provider and the business, and explores the defense-in-depth security built into Google Cloud. Finally, it covers how IT teams and business leaders need to rethink IT resource management in the cloud and how Google Cloud resource monitoring tools can help them to maintain control and visibility over their cloud environment. או
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'Many traditional enterprises use legacy systems and applications that often struggle to achieve the scale and speed needed to meet modern customer expectations. Business leaders and IT decision makers constantly have to choose between maintenance of legacy systems and investing in innovative new products and services. This course explores the challenges of an outdated IT infrastructure and how businesses can modernize it using cloud technology. It begins by exploring the different compute options available in the cloud and the benefits of each, before turning to application modernization and Application Programming Interfaces (APIs). The course also considers a range of Google Cloud solutions that can help businesses to better develop and manage their systems, such as Compute Engine, App Engine, and Apigee.' This is the third course in the Cloud Digital Leader series. At the end of this course, enroll in the Understanding Google Cloud Security and Operations course
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Cloud technology on its own only provides a fraction of the true value to a business; When combined with data–lots and lots of it–it has the power to truly unlock value and create new experiences for customers.
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. This course also introduces learners to technical concepts such as structured and unstructured data. database, data warehouse, and data lakes. It then covers the most common and fastest growing Google Cloud products around data.
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What is cloud technology or data science? More importantly, what can it do for you, your team, and your business?
If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you.
This course defines foundational terms such as cloud, data, and digital transformation. It also explores examples of companies around the world that are using cloud technology to revolutionize their businesses. The course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and aligns them with the Google Cloud solution pillars. But digital transformation isn't just about using new technology. To truly transform, organizations also need to be innovative and scale an innovation mindset across the organization. The course offers best practices to help you achieve this.
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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This fundamental-level quest will cover essential Google CLoud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Networking in the Google Cloud will give you the practical experience needed so you can start building robust networks right away. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Build and Secure Networks in Google Cloud Quest to receive an exclusive Google Cloud digital badge.
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Earn a skill badge by completing the Build and Secure Networks in Google Cloud quest, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud, including how to: 1. Enable Identity-Aware Proxy. 2. Create VPC networks. 3. Create virtual machine instances with nginx web servers using Compute Engine. 4. Create firewall rules to control internal and external access to your VMs. 5. Configure, stress, and protect a multi-region HTTP application with an HTTP load balancer and Google Cloud Armor. 6. Configure and test an internal TCP load balancer with a regional backend service. 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 quest, and final assessment challenge lab, to receive a digital badge that you can share with y…
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In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.
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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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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this fundamental-level quest, you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and highly available databases that run on GKE containers, Cloud SQL will give you the knowledge and experience needed so you can start integrating this service right away.
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Earn a skill badge by completing the Set Up and Configure a Cloud Environment in Google Cloud quest, where you learn multiple ways to deploy and monitor applications including how to: explore IAM rols 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. A skill badge is an exclusivedigital 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 this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Earn a skill badge by completing the Insights from Data with BigQuery quest, where you learn about the following basic features of BigQuery: write SQL queries, create and manage database tables in Cloud SQL, query public tables, and load sample data into BigQuery, troubleshoot common Syntax errors with the Query Validator, use Google Apps Script, create a chart in Google Sheets, and export that data to Google Slides, and create reports in Google Data Studio by connecting to BigQuery data. 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 this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
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Earn a skill badge by completing the Perform Foundational Infrastructure Tasks in Google Cloud quest, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub. 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 this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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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 a detailed overview of concepts covering cloud basics, big data,
and machine learning, and where and how Google Cloud fits in.
By the end of the course, learners will be able to articulate concepts
around cloud computing, big data, and machine learning, and demonstrate some
hands-on skills.
This course is part of a series of courses called Google Cloud Computing Foundations.
The courses should be completed in the following order:
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Google Cloud Computing Foundations: Networking and Security in Google Cloud
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This third course covers how to build secure networks,
and cloud automation and management tools.
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It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
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Earn a skill badge by completing the Perform Foundational Data, ML, and AI Tasks quest, where you learn the basic features for the following machine learning and AI technologies: BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow, Cloud Dataprep by Trifacta, Dataproc, and Video Intelligence API. 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 this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
Learn more
The Google Cloud Computing Foundations courses are for
individuals with little to no background or experience in cloud computing.
They provide a detailed overview of concepts covering cloud basics, big data,
and machine learning, and where and how Google Cloud fits in.
By the end of the course, learners will be able to articulate concepts
around cloud computing, big data, and machine learning, and demonstrate some
hands-on skills.
This course is part of a series of courses called Google Cloud Computing Foundations.
The courses should be completed in the following order:
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Google Cloud Computing Foundations: Networking and Security in Google Cloud
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning
and its value, and how to …
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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas and Qwiklabs has you covered with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.
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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional Challenge Lab at the end of the Deploy to Kubernetes in Google Cloud Quest to receive an exclusive Google Cloud digital badge.
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This fundamental-level quest is unique amongst the other Qwiklabs offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Associate Cloud Engineer Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
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Earn a skill badge by completing the Create and Manage Cloud Resources quest, where you learn how to do the following: Write gcloud commands and use Cloud Shell, create and deploy virtual machines in Compute Engine, run containerized applications on Google Kubernetes Engine, and configure network and HTTP load balancers. 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 this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
Learn more
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.
This course is part of a series of courses called Google Cloud Computing Foundations.
The courses should be completed in the following order:
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Google Cloud Computing Foundations: Networking and Security in Google Cloud
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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In this introductory-level Quest, you will get hands-on practice with the Google Cloud’s fundamental tools and services. Google Cloud Essentials is the recommended first Quest for the Google Cloud learner - you will come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features. 1-minute videos walk you through key concepts for each lab.
Learn more
The Google Cloud Computing Foundations courses are for
individuals with little to no background or experience in cloud computing.
They provide a detailed overview of concepts covering cloud basics, big data,
and machine learning, and where and how Google Cloud fits in.
By the end of the course, learners will be able to articulate concepts
around cloud computing, big data, and machine learning, and demonstrate some
hands-on skills.
This course is part of a series of courses called Google Cloud Computing Foundations.
The courses should be completed in the following order:
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Google Cloud Computing Foundations: Networking and Security in Google Cloud
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This second course reviews implementing storage models, different application
managed service options, and se…
Understanding Google Cloud Security and Operations
Earned Nov 17, 2021 EST
Infrastructure and Application Modernization with Google Cloud
Earned Nov 17, 2021 EST
Innovating with Data and Google Cloud
Earned Nov 17, 2021 EST
Introduction to Digital Transformation with Google Cloud
Earned Nov 17, 2021 EST
Networking in Google Cloud
Earned Nov 12, 2021 EST
Build and Secure Networks in Google Cloud
Earned Nov 12, 2021 EST
Language, Speech, Text, & Translation with Google Cloud APIs
Earned Nov 10, 2021 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Nov 10, 2021 EST
Cloud SQL
Earned Nov 8, 2021 EST
Set Up and Configure a Cloud Environment in Google Cloud
Earned Nov 5, 2021 EDT
Insights from Data with BigQuery
Earned Nov 4, 2021 EDT
BigQuery Basics for Data Analysts
Earned Nov 4, 2021 EDT
Baseline: Deploy & Develop
Earned Nov 3, 2021 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned Nov 1, 2021 EDT
Google Cloud Computing Foundations: Networking and Security in Google Cloud
Earned Nov 1, 2021 EDT
Intro to ML: Language Processing
Earned Oct 31, 2021 EDT
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Earned Oct 30, 2021 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Oct 30, 2021 EDT
Baseline: Data, ML, AI
Earned Oct 30, 2021 EDT
Kubernetes in Google Cloud
Earned Oct 30, 2021 EDT
Cloud Engineering
Earned Oct 29, 2021 EDT
Baseline: Infrastructure
Earned Oct 29, 2021 EDT
Create and Manage Cloud Resources
Earned Oct 28, 2021 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned Oct 26, 2021 EDT
Google Cloud Essentials
Earned Oct 26, 2021 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned Oct 22, 2021 EDT