DEPRECATED BigQuery for Marketing Analysts
Earned авг. 26, 2022 EDT
Modernize Infrastructure and Applications with Google Cloud - Locales
Earned авг. 17, 2022 EDT
Exploring Data Transformation with Google Cloud - Locales
Earned авг. 17, 2022 EDT
Digital Transformation with Google Cloud - Locales
Earned авг. 17, 2022 EDT
Google Sheets - Locales
Earned авг. 17, 2022 EDT
Planning for a Google Workspace Deployment - Locales
Earned авг. 17, 2022 EDT
Introduction to Google Workspace Administration - Locales
Earned авг. 17, 2022 EDT
Google Workspace Mail Management - Locales
Earned авг. 17, 2022 EDT
Google Calendar - Locales
Earned авг. 17, 2022 EDT
Gmail - Locales
Earned авг. 17, 2022 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned июня 9, 2022 EDT
How Google Does Machine Learning - Locales
Earned июня 4, 2022 EDT
Google Sheets - Advanced Topics - Locales
Earned мая 28, 2022 EDT
Understanding Google Cloud Security and Operations - Locales
Earned мая 28, 2022 EDT
Managing Google Workspace - Locales
Earned мая 28, 2022 EDT
Google Workspace Security-Locales
Earned мая 27, 2022 EDT
Website on Google Cloud
Earned мая 26, 2022 EDT
DEPRECATED BigQuery for Data Warehousing
Earned мая 26, 2022 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned мая 26, 2022 EDT
Managing Cloud Infrastructure with Terraform
Earned мая 22, 2022 EDT
Build a Secure Google Cloud Network
Earned мая 19, 2022 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned мая 17, 2022 EDT
Implement Cloud Security Fundamentals on Google Cloud
Earned мая 17, 2022 EDT
Security & Identity Fundamentals
Earned мая 16, 2022 EDT
Implement DevOps Workflows in Google Cloud
Earned мая 14, 2022 EDT
Set Up a Google Cloud Network
Earned мая 14, 2022 EDT
[DEPRECATED] Deploying Applications
Earned мая 13, 2022 EDT
Create ML Models with BigQuery ML
Earned мая 12, 2022 EDT
Deploy Kubernetes Applications on Google Cloud
Earned мая 12, 2022 EDT
DEPRECATED Cloud Architecture
Earned мая 11, 2022 EDT
Workspace: Integrations for Data
Earned мая 9, 2022 EDT
Understand Your Google Cloud Costs
Earned мая 8, 2022 EDT
Workspace: Add-ons
Earned мая 8, 2022 EDT
Kubernetes in Google Cloud
Earned мая 8, 2022 EDT
Google Developer Essentials
Earned мая 8, 2022 EDT
Baseline: Data, ML, AI
Earned мая 8, 2022 EDT
Intro to ML: Image Processing
Earned мая 8, 2022 EDT
Intro to ML: Language Processing
Earned мая 8, 2022 EDT
Machine Learning APIs
Earned мая 7, 2022 EDT
Cloud Engineering
Earned мая 7, 2022 EDT
Google Cloud Essentials
Earned мая 7, 2022 EDT
Baseline: Infrastructure
Earned мая 7, 2022 EDT
BigQuery for Machine Learning
Earned мая 7, 2022 EDT
Build a Data Warehouse with BigQuery
Earned мая 6, 2022 EDT
Use Machine Learning APIs on Google Cloud
Earned мая 3, 2022 EDT
Develop Serverless Applications on Cloud Run
Earned мая 3, 2022 EDT
Prepare Data for ML APIs on Google Cloud
Earned мая 1, 2022 EDT
Build a Website on Google Cloud
Earned апр. 29, 2022 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned апр. 27, 2022 EDT
Develop Serverless Apps with Firebase
Earned апр. 24, 2022 EDT
Derive Insights from BigQuery Data
Earned апр. 23, 2022 EDT
Develop Your Google Cloud Network
Earned апр. 16, 2022 EDT
Set Up an App Dev Environment on Google Cloud
Earned февр. 12, 2022 EST
Implementing Cloud Load Balancing for Compute Engine
Earned февр. 6, 2022 EST
This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
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This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You'll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you'll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.
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This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you'll finalize your resume updates and put to practice all the new interview techniques you've learned, preparing you to confidently apply for and interview for jobs in the field.
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This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You'll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you'll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you'll continue updating your resume and practicing interview techniques.
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This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You'll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you'll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.
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This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You'll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you'll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.
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This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You'll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you'll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you'll continue updating your resume and practicing interview techniques.
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This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you'll finalize your resume updates and put to practice all the new interview techniques you've learned, preparing you to confidently apply for and interview for jobs in the field.
Learn more
This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You'll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you'll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.
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This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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"This course, App Deployment, Debugging, and Performance - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in App Deployment, Debugging, and Performance ". In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.
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This course, App Deployment, Debugging, and Performance - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in App Deployment, Debugging, and Performance.
In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.
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This course, Security Best Practices in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Security Best Practices in Google Cloud.
This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Storage access control technologies, Security Keys, Customer-Supplied Encryption Keys, API access controls, scoping, shielded VMs, encryption, and signed URLs. It also covers securing Kubernetes environments.
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"This course, Networking in Google Cloud: Defining and Implementing Networks- Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Networking in Google Cloud: Defining and Implementing Networks."
Learn about the broad variety of networking options on Google Cloud. This course uses lectures, demos, and hands-on labs to help you explore and deploy Google Cloud networking technologies, including Virtual Private Cloud (VPC) networks, subnets, and firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; and Cloud NAT. You'll also learn about common network design patterns and automated deployment using Cloud Deployment Manager or Terraform.
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In this course, you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using Google Cloud managed storage and database services from within GKE.
This is the second course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Reliable Google Cloud Infrastructure: Design and Process course or the Hybrid Cloud Infrastructure Foundations with Anthos course.
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This course, Essential Google Cloud Infrastructure: Foundation - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Essential Google Cloud Infrastructure: Foundation. 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, Building Resilient Streaming Analytics Systems on Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Building Resilient Streaming Analytics Systems on Google Cloud.
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud using QwikLabs.
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"This course, Networking in Google Cloud: Hybrid Connectivity and Network Management- Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Networking in Google Cloud: Hybrid Connectivity and Network Management."
Learn about the broad variety of networking options on Google Cloud. This course uses lectures, demos, and hands-on labs to help you explore and deploy Google Cloud networking technologies, including Virtual Private Cloud (VPC) networks, subnets, and firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; and Cloud NAT. You'll also learn about common network design patterns and automated deployment using Cloud Deployment Manager or Terraform.
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This course, Getting Started with Google Kubernetes Engine - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Getting Started with Google Kubernetes Engine.
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 is the second Quest in a two-part series on Google Cloud billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.
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This course, Modernizing Data Lakes and Data Warehouses with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Modernizing Data Lakes and Data Warehouses with Google Cloud.
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
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This course, Elastic Google Cloud Infrastructure: Scaling and Automation - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Elastic Google Cloud Infrastructure: Scaling and Automation.
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 course, Feature Engineering - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Feature Engineering."
Want to know about Vertex AI Feature Store? Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering, where we discuss good versus bad features and how you can preprocess and transform them for optimal use in your models. This course includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow
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Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.
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This course, Applying Machine Learning to Your Data with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Applying Machine Learning to your Data with Google Cloud.
In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
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This course, Managing Security in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Managing Security in Google Cloud.
This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, Cloud IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls.
This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.
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This course, Preparing for your Professional Data Engineer Journey - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Preparing for your Professional Data Engineer Journey.
This course helps learners create a study plan for the PDE (Professional Data Engineer) 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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Earn an introductory skill badge by completing the Implement Cloud Collaboration and Productivity Workflows course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet.
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This course, Developing Data Models with LookML - Locales, is intended for non-English learners only. To enroll in this content in English, please enroll in Developing Data Models with LookML.
This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
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This course, Preparing for Your Associate Cloud Engineer Journey - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Preparing for Your Associate Cloud Engineer Journey.
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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This course, Analyzing and Visualizing Data in Looker - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Analyzing and Visualizing Data in Looker.
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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This course, Google Drive - Locales, is intended for non-English learners only. If you want to take this course in English, please enroll in Google Drive.
Google Drive is Google’s cloud-based file storage service. Google Drive lets you keep all your work in one place, view different file formats without the need for additional software, and access your files from any device.
In this course, you will learn how to navigate your Google Drive. You will learn how to upload files and folders and how to work across file types. You will also learn how you can easily view, arrange, organize, modify, and remove files in Google Drive.
Google Drive includes shared drives. You can use shared drives to store, search, and access files with a team. You will learn how to create a new shared drive, add and manage members, and manage the shared drive content.
Google Workspace is synonymous with collaboration and sharing. You will explore the sharing options available to you in Google Drive,…
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"This course, Google Docs - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Docs." With Google Docs, your documents are stored in the cloud, and you can access them from any computer or device. You create and edit documents right in your web browser; no special software is required. Even better, multiple people can work at the same time, you can see people’s changes as they make them, and every change is saved automatically.
In this course, you will learn how to open Google Docs, create and format a new document, and apply a template to a new document.
You will learn how to enhance your documents using a table of contents, headers and footers, tables, drawings, images, and more.
You will learn how to share your documents with others. We will discuss your sharing options and examine collaborator roles and permissions. You will learn how to manage versions of your documents.
Google Docs allows you to work in r…
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"This course, Google Slides - Locales, is intended for non-English learners only. If you would like to take this course in English, please enroll in Google Slides."
With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more. Google Slides presentations are stored safely in the cloud. You build presentations right in your web browser—no special software is required. Even better, multiple people can work on your slides at the same time, you can see people’s changes as they make them, and every change is automatically saved.
You will learn how to open Google Slides, create a blank presentation, and create a presentation from a template. You will explore themes, layout options, and how to add and format content, and speaker notes in your presentations. You will learn how to enhance your slides by adding tables, images, charts, and more. You will also learn how to use slide transitions and object animations in your pr…
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"This course, Preparing for Your Professional Cloud Security Engineer Journey - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Preparing for Your Professional Cloud Security Engineer Journey." This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
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This course, Google Meet - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Meet.
In this course, we introduce you to Google Meet, Google’s video conference software included with Google Workspace.
You learn how to create and manage video conference meetings using Google Meet. You explore different ways to open Google Meet and add people to a video conference. You also learn how to join meetings from different sources like calendar events or meeting links.
We discuss how Google Meet can help you better communicate, exchange ideas, and share resources with your team wherever they are. You learn how to customize the Google Meet environment to fit your needs and how to effectively use chat messages during a video conference. You also explore different ways to share resources, such as by using calendar invites or attachments.
You learn about using host controls in Google Meet to manage participants and utilize i…
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"This course, Google Chat - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Chat."
In this course, we introduce you to Google Chat, Google’s chat software included with Google Workspace.
You will learn about messaging individuals and groups in Google Chat. You will also discover customization options, collaboration features and how Google Chat integrates with other Google Workspace products.
We will explore the use of spaces in Google Chat, showing you how to create, manage, search, and join them. Additionally, you will understand the distinctions between using a space and a group chat.
You also explore Google Chat apps and learn how to search for and use apps within Google Chat.
Aside from course videos, you will complete hands-on activities to practice what you’ve learned. Consider inviting a colleague or two to interact with you in Google Chat as you complete the activities.
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Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.
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Complete the introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.
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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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This course, Google Cloud Big Data and Machine Learning Fundamentals - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Big Data and Machine Learning Fundamentals.
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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This course, Creating New BigQuery Datasets and Visualizing Insights - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Creating New BigQuery Datasets and Visualizing Insights. This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.
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This course, Smart Analytics, Machine Learning, and AI on Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Smart Analytics, Machine Learning, and AI on Google Cloud.
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.
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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, Google Cloud Fundamentals: Core Infrastructure - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Fundamentals: Core Infrastructure.
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, TensorFlow on Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in TensorFlow on Google Cloud.
This course covers designing and building a TensorFlow 2.x input data pipeline, building ML models with TensorFlow 2.x and Keras, improving the accuracy of ML models, writing ML models for scaled use and writing specialized ML models.
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"This course, Machine Learning in the Enterprise - Locales, is intended for non-English learners. If you want to take this course in English, please enroll inMachine Learning in the Enterprise". This course encompasses a real-world practical approach to the ML Workflow: a case study approach that presents an ML team faced with several ML business requirements and use cases. This team must understand the tools required for data management and governance and consider the best approach for data preprocessing: from providing an overview of Dataflow and Dataprep to using BigQuery for preprocessing tasks.
The team is presented with three options to build machine learning models for two specific use cases. This course explains why the team would use AutoML, BigQuery ML, or custom training to achieve their objectives. A deeper dive into custom training is presented in this course. We describe custom training requirements from training code structure, storage, and loading large datasets to e…
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This course, Google Cloud Computing Foundations: Networking & Security in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Networking & Security in Google Cloud.
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: Dat…
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"This course, Architecting with Google Kubernetes Engine: Foundations - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Architecting with Google Kubernetes Engine: Foundations". In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.
This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Workloads course.
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This course, Achieving Advanced Insights with BigQuery - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Achieving Advanced Insights with BigQuery. The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.
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"This course, Exploring and Preparing Your Data with BigQuery - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Exploring and Preparing your Data with BigQuery.
In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.
This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course."
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"This course, Getting Started With Application Development - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Getting Started With Application Development". In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.
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Workspace is Google's collaborative applications platform, delivered from Google Cloud. In this introductory-level course you will get hands-on practice with Workspace’s core applications from a user perspective. Although there are many more applications and tool components to Workspace than are covered here, you will get experience with the primary apps: Gmail, Calendar, Sheets and a handful of others. Each lab can be completed in 10-15 minutes, but extra time is provided to allow self-directed free exploration of the applications.
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This course, "Reliable Google Cloud Infrastructure: Design and Process - Locales", is intended for non-English learners only. To enroll in this course in English, please enroll in "Reliable Google Cloud Infrastructure: Design and Process."
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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This course, Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud. 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 Googl…
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This course, Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Infrastructure in Google Cloud. 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 C…
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This course, Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Cloud Computing Fundamentals .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
…
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. 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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This course, Modernize Infrastructure and Applications with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Modernize Infrastructure and Applications with Google Cloud.
Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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This course, Exploring Data Transformation with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Exploring Data Transformation with Google Cloud.
Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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This course, Digital Transformation with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Digital Transformation with Google Cloud.
There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. 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 is part of the Cloud Digital Leader learning path.
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This course, Google Sheets - Locales, is intended for non-English learners only. If you wish to take this course in English, please enroll in Google Sheets.
In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace.
With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required.
Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically.
You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types.
Formulas and functions allow you to make quick calculations and better use your data. We will look at creating a basic formula, using functions, and referencing data. You will also learn how to add a chart to your spr…
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This course, Planning for a Google Workspace Deployment - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Planning for a Google Workspace Deployment.
Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series.
In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area.
You will also be introduced to the importance of Change Management in a Google Workspace deployment, ensuring that users make a smooth transition to Google Workspace and gain the benefits of work transformation through communications, support, and training.
This course covers theoretical topics, and does n…
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This course, Introduction to Google Workspace Administration - Locales, is intended for non-English learners only. To enroll in this content in English, please enroll in Introduction to Google Workspace Administration.
Introduction to Google Workspace Administration is the first course in the Google Workspace Administration series of courses.
This series will serve as the starting place for any new Google Workspace admin as they begin their journey of managing and establishing Google Workspace best practices for their organization. These courses together will leave you feeling confident to utilize the basic functions of the admin console to manage users, control access to services, configure security settings, and much more.
Through a series of readings and step-by-step hands-on exercises, and knowledge checks, learners can expect to leave this training with all of the skills they need to get started as Google Workspace administrators.
In this course you will sign up for a …
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This course, Google Workspace Mail Management - Locales, is intended for non-English learners only. To enroll in this content in English, please enroll in Google Workspace Mail Management.
Google Workspace Mail Management is the fourth course in the Google Workspace Administration series.
In this course you will learn how to protect your organization against spam, spoofing, phishing and malware attacks. You will configure email compliance and learn how to implement data loss prevention (DLP) for your organization. You will gain an understanding of the mail routing options available and learn how to whitelist and block senders. You will also become familiar with other mail options such as inbound and outbound gateways, 3rd party email archiving, and journaling to Vault.
Prerequisites
You should have completed the Introduction to Google Workspace Administration, Managing Google Workspace, and Google Workspace Security courses.
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This course, Google Calendar - Locales, is intended for non-English learners only. If you
are looking to take this course in English, please enroll in Google Calendar.
With Google Calendar, you can quickly schedule meetings and events and
get reminders about upcoming activities, so you always know what’s next. Google
Calendar is designed for teams, so it’s easy to share your schedule with others
and create multiple calendars that you and your team can use together.
In this course, you’ll learn how to create and manage Google Calendar events. You
will learn how to update an existing event, delete and restore events, and search
your calendar. You will understand when to apply different event types
such as reminders, tasks, and appointment slots.
You will explore the Google Calendar settings that are available for you to customize Google Calendar to suit
your way of working. During the course you will learn how to create additional calendars,
share your calendars with other…
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This course is intended for non-English learners only. If you wish to take this course in English, please search for the course title, 'Gmail.'
Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser.
In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels.
You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates.
Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically.
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Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. 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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This course, How Google Does Machine Learning- Locales, is intended for non-English learners. If you want to take this course in English, please enroll in How Google Does Machine Learning.
What are best practices for implementing machine learning on Google Cloud? What is Vertex AI and how can you use the platform to quickly build, train, and deploy AutoML machine learning models without writing a single line of code? What is machine learning, and what kinds of problems can it solve?
Google thinks about machine learning slightly differently: it’s about providing a unified platform for managed datasets, a feature store, a way to build, train, and deploy machine learning models without writing a single line of code, providing the ability to label data, create Workbench notebooks using frameworks such as TensorFlow, SciKit Learn, Pytorch, R, and others. Our Vertex AI Platform also includes the ability to train custom models, build component pipelines, and perform both online and bat…
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This course, Google Sheets - Advanced Topics- Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Sheets - Advanced Topics.
This course builds on some of the concepts covered in the earlier Google Sheets course.
In this course, you will learn how to apply and customize themes In Google Sheets, and explore conditional formatting options.
You will learn about some of Google Sheets’ advanced formulas and functions. You will explore how to create formulas using functions, and you will also learn how to reference and validate your data in a Google Sheet.
Spreadsheets can hold millions of numbers, formulas, and text. Making sense of all of that data can be difficult without a summary or visualization. This course explores the data visualization options in Google Sheets, such as charts and pivot tables.
Google Forms are online surveys used to collect data and provide the opportunity for quick data analysis. You will…
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"This course, Understanding Google Cloud Security and Operations - Locales, is intended for non-English learners only. If you wish to take couse in English, please enroll in Understanding Google Cloud Security and Operations."
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.
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This course, Managing Google Workspace - Locales, is intended for non-English learners only. To enroll in this content in English, please enroll in Managing Google Workspace.
Managing Google Workspace is the second course in the Google Workspace Administration series.
This course focuses on the Google Workspace core services such as Gmail, Calendar, and Drive & Docs. You will become familiar with the various service settings, and learn how to enable them for all or just a subset of your users. You will gain an understanding of Google Vault, Google’s ediscovery service. You will understand the various admin console reports that are available and be able to search and filter the information in these reports. Finally you will see how multiple domains can be used with Google Workspace and learn how to add a new domain to your account.
Prerequisites
You should have completed the Introduction to Google Workspace Administration course.
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This course, Google Workspace Security - Locales, is intended for non-English learners only. To enroll in this content in English, please enroll in Google Workspace Security.
Google Workspace Security is the third course in the Google Workspace Administration series.
In this course you will focus on the various aspects of Google Workspace Security including user password policies and how to enable and enforce two step verification (2SV) for your users. You will learn about application security and understand how to whitelist and block API access to your account. You will see how Google Workspace can easily be integrated with a number of predefined 3rd party applications. You will also become familiar with the SSO options in Google Workspace. Finally you will understand how to spot potential security risks within your organization and learn how to address them using the tools available in the admin console.
Prerequisites
You should have completed the Introduction to Google W…
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In this quest you will learn about the four Google Cloud website architectures available to ensure that your website is available and scalable. 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 this Build a Website on Google Cloud to receive an exclusive Google Cloud digital badge. This quest is based on the video series Get Cooking in Cloud.
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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. 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. 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 this quest to receive an exclusive Google Cloud digital badge.
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With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
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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 course 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, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.
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Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections.
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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.
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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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The Google Cloud Platform provides many different frameworks and options to fit your application’s needs. In this introductory-level quest, you will get plenty of hands-on practice deploying sample applications on Google App Engine. You will also dive into other web application frameworks like Firebase, Wordpress, and Node.js and see firsthand how they can be integrated with Google Cloud.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect 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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This course demonstrates the power of integrating Google Cloud services and tools with Workspace applications. You will create direct connections to Google Cloud data sources using the BigQuery API, Apps Script, Sheets, and Slides to collect, analyze and present data.
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This course is suitable for technology or finance roles managing Google Cloud costs. Learn to set up a billing account, organize resources, and manage access permissions. In hands-on labs, you view invoices and analyze billing data with BigQuery. You also use Google Sheets and create dashboards with Data Studio. You find references from the videos in this Additional Resources document.
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This course demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.
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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 course, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications.
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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
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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 with this introductory-level quest, so you can take your first steps with tools like BigQuery, Cloud Speech API and Video Intelligence. Want extra help? 1-minute videos walk you through key concepts for each lab.
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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other 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 image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
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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 course, 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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It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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This fundamental-level quest is unique amongst the other quest 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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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can 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.
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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this course is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Monitoring and Cloud Functions. 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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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model.
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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.
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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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Earn the introductory skill badge by completing the Build a Website on Google Cloud skill badge course. This course is based on the Get Cooking in Cloud series and covers`:`Deploying a website on Cloud RunHosting a web app on Compute EngineCreating, deploying, and scaling your website on Google Kubernetes EngineMigrating from a monolithic application to a microservices architecture using Cloud Build
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Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. 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 your network.
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Complete the intermediate Develop Serverless Apps with Firebase skill badge course to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications.
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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Data Studio by connecting to BigQuery data.
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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.
Introduction to Security Principles in Cloud Computing
Earned дек. 16, 2025 EST
Strategies for Cloud Security Risk Management
Earned дек. 16, 2025 EST
Put It All Together: Prepare for a Cloud Security Analyst Job
Earned дек. 16, 2025 EST
Detect, Respond, and Recover from Cloud Cybersecurity Attacks
Earned дек. 16, 2025 EST
Cloud Security Risks: Identify and Protect Against Threats
Earned дек. 16, 2025 EST
Cloud Security Risks: Identify and Protect Against Threats
Earned мая 16, 2024 EDT
Detect, Respond, and Recover from Cloud Cybersecurity Attacks
Earned апр. 29, 2024 EDT
Put It All Together: Prepare for a Cloud Security Analyst Job
Earned апр. 24, 2024 EDT
Strategies for Cloud Security Risk Management
Earned апр. 23, 2024 EDT
Introduction to Security Principles in Cloud Computing
Earned апр. 23, 2024 EDT
Deploy Kubernetes Applications on Google Cloud
Earned апр. 13, 2024 EDT
App Deployment, Debugging, and Performance - Locales
Earned июня 20, 2023 EDT
App Deployment, Debugging, and Performance - Locales
Earned июня 20, 2023 EDT
Security Best Practices in Google Cloud - Locales
Earned июня 20, 2023 EDT
Networking in Google Cloud: Defining and Implementing Networks- Locales
Earned июня 19, 2023 EDT
Architecting with Google Kubernetes Engine: Production
Earned июня 19, 2023 EDT
Essential Google Cloud Infrastructure: Foundation - Locales
Earned июня 18, 2023 EDT
Building Resilient Streaming Analytics Systems on Google Cloud - Locales
Earned июня 17, 2023 EDT
Networking in Google Cloud: Hybrid Connectivity and Network Management- Locales
Earned июня 11, 2023 EDT
Getting Started with Google Kubernetes Engine - Locales
Earned июня 10, 2023 EDT
Optimize Your Google Cloud Costs
Earned июня 6, 2023 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud - Locales
Earned июня 4, 2023 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation - Locales
Earned июня 3, 2023 EDT
Feature Engineering - Locales
Earned июня 1, 2023 EDT
DEPRECATED Exploring APIs
Earned мая 30, 2023 EDT
Applying Machine Learning to Your Data with Google Cloud - Locales
Earned мая 30, 2023 EDT
Managing Security in Google Cloud - Locales
Earned мая 27, 2023 EDT
Preparing for Your Professional Data Engineer Journey - Locales
Earned мая 27, 2023 EDT
Implement Cloud Collaboration and Productivity Workflows
Earned мая 25, 2023 EDT
Developing Data Models with LookML - Locales
Earned мая 25, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey - Locales
Earned мая 25, 2023 EDT
Analyzing and Visualizing Data in Looker - Locales
Earned мая 24, 2023 EDT
Google Drive - Locales
Earned мая 24, 2023 EDT
Google Docs - Locales
Earned мая 24, 2023 EDT
Google Slides - Locales
Earned мая 24, 2023 EDT
Preparing for Your Professional Cloud Security Engineer Journey - Locales
Earned мая 23, 2023 EDT
Google Meet - Locales
Earned мая 23, 2023 EDT
Google Chat - Locales
Earned мая 23, 2023 EDT
[Deprecated] Get Started with Looker
Earned мая 23, 2023 EDT
Monitor and Log with Google Cloud Observability
Earned нояб. 22, 2022 EST
Launching into Machine Learning
Earned окт. 28, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Locales
Earned окт. 24, 2022 EDT
Creating New BigQuery Datasets and Visualizing Insights - Locales
Earned окт. 23, 2022 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud - Locales
Earned окт. 22, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned окт. 21, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure - Locales
Earned окт. 19, 2022 EDT
TensorFlow on Google Cloud - Locales
Earned окт. 18, 2022 EDT
Machine Learning in the Enterprise - Locales
Earned окт. 14, 2022 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud - Locales
Earned сент. 24, 2022 EDT
Architecting with Google Kubernetes Engine: Foundations - Locales
Earned сент. 24, 2022 EDT
Achieving Advanced Insights with BigQuery - Locales
Earned сент. 18, 2022 EDT
Exploring and Preparing Your Data with BigQuery - Locales
Earned сент. 17, 2022 EDT
Getting Started With Application Development - Locales
Earned сент. 17, 2022 EDT
Google Workspace Essentials
Earned сент. 10, 2022 EDT
Reliable Google Cloud Infrastructure: Design and Process - Locales
Earned авг. 30, 2022 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Earned авг. 30, 2022 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned авг. 28, 2022 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Earned авг. 28, 2022 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned авг. 26, 2022 EDT
Modernize Infrastructure and Applications with Google Cloud - Locales
Earned авг. 17, 2022 EDT
Exploring Data Transformation with Google Cloud - Locales
Earned авг. 17, 2022 EDT
Digital Transformation with Google Cloud - Locales
Earned авг. 17, 2022 EDT
Google Sheets - Locales
Earned авг. 17, 2022 EDT
Planning for a Google Workspace Deployment - Locales
Earned авг. 17, 2022 EDT
Introduction to Google Workspace Administration - Locales
Earned авг. 17, 2022 EDT
Google Workspace Mail Management - Locales
Earned авг. 17, 2022 EDT
Google Calendar - Locales
Earned авг. 17, 2022 EDT
Gmail - Locales
Earned авг. 17, 2022 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned июня 9, 2022 EDT
How Google Does Machine Learning - Locales
Earned июня 4, 2022 EDT
Google Sheets - Advanced Topics - Locales
Earned мая 28, 2022 EDT
Understanding Google Cloud Security and Operations - Locales
Earned мая 28, 2022 EDT
Managing Google Workspace - Locales
Earned мая 28, 2022 EDT
Google Workspace Security-Locales
Earned мая 27, 2022 EDT
Website on Google Cloud
Earned мая 26, 2022 EDT
DEPRECATED BigQuery for Data Warehousing
Earned мая 26, 2022 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned мая 26, 2022 EDT
Managing Cloud Infrastructure with Terraform
Earned мая 22, 2022 EDT
Build a Secure Google Cloud Network
Earned мая 19, 2022 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned мая 17, 2022 EDT
Implement Cloud Security Fundamentals on Google Cloud
Earned мая 17, 2022 EDT
Security & Identity Fundamentals
Earned мая 16, 2022 EDT
Implement DevOps Workflows in Google Cloud
Earned мая 14, 2022 EDT
Set Up a Google Cloud Network
Earned мая 14, 2022 EDT
[DEPRECATED] Deploying Applications
Earned мая 13, 2022 EDT
Create ML Models with BigQuery ML
Earned мая 12, 2022 EDT
Deploy Kubernetes Applications on Google Cloud
Earned мая 12, 2022 EDT
DEPRECATED Cloud Architecture
Earned мая 11, 2022 EDT
Workspace: Integrations for Data
Earned мая 9, 2022 EDT
Understand Your Google Cloud Costs
Earned мая 8, 2022 EDT
Workspace: Add-ons
Earned мая 8, 2022 EDT
Kubernetes in Google Cloud
Earned мая 8, 2022 EDT
Google Developer Essentials
Earned мая 8, 2022 EDT
Baseline: Data, ML, AI
Earned мая 8, 2022 EDT
Intro to ML: Image Processing
Earned мая 8, 2022 EDT
Intro to ML: Language Processing
Earned мая 8, 2022 EDT
Machine Learning APIs
Earned мая 7, 2022 EDT
Cloud Engineering
Earned мая 7, 2022 EDT
Google Cloud Essentials
Earned мая 7, 2022 EDT
Baseline: Infrastructure
Earned мая 7, 2022 EDT
BigQuery for Machine Learning
Earned мая 7, 2022 EDT
Build a Data Warehouse with BigQuery
Earned мая 6, 2022 EDT
Use Machine Learning APIs on Google Cloud
Earned мая 3, 2022 EDT
Develop Serverless Applications on Cloud Run
Earned мая 3, 2022 EDT
Prepare Data for ML APIs on Google Cloud
Earned мая 1, 2022 EDT
Build a Website on Google Cloud
Earned апр. 29, 2022 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned апр. 27, 2022 EDT
Develop Serverless Apps with Firebase
Earned апр. 24, 2022 EDT
Derive Insights from BigQuery Data
Earned апр. 23, 2022 EDT
Develop Your Google Cloud Network
Earned апр. 16, 2022 EDT
Set Up an App Dev Environment on Google Cloud
Earned февр. 12, 2022 EST
Implementing Cloud Load Balancing for Compute Engine
Earned февр. 6, 2022 EST