As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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Welcome to the sixth course in our Networking and Google Cloud series, Hybrid and Multicloud. The first module will walk you through various cloud connectivity options, with a deep dive into Cloud Interconnect, exploring its different types and functionalities. In the second module, we'll cover Cloud VPN, discussing its implementation, high availability, VPN topologies, and the Network Connectivity Center for streamline management. By the end of this course, you will be able to explain the different connectivity options available to extend your on-premises and other cloud networks to Google Cloud, and analyze the suitability of different Google Cloud hybrid and multicloud connectivity services for specific use cases.
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This training course builds on the concepts covered in the Networking in Google Cloud: Fundamentals course. Through presentations, demonstrations, and labs, participants explore and implement Cloud Load Balancing.
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Welcome to the fourth course of the "Networking in Google Cloud" series: Network Security!
In this course, you'll dive into the services for safeguarding your Google Cloud network infrastructure.
The first module, Distributed Denial of Service (DDoS) Protection, covers how to fortify your network against Distributed Denial of Service (DDoS) attacks, ensuring uninterrupted availability of your services.
In the second module, Controlling Access to VPC Networks, you'll learn the network access control, enabling you to define permissions for who can access your resources and how.
Finally, in the third module, Advanced Security Monitoring and Analysis, we'll explore how to proactively detect and respond to potential threats, keeping your Google Cloud environment secure and resilient.
By the end of this course, you'll have a comprehensive understanding of Google Cloud network security.
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Welcome to the third course of the "Networking in Google Cloud" series: Network Architecture!
In this course, you will explore the fundamentals of designing efficient and scalable network architectures within Google Cloud.
In the first module, Introduction to Network Architecture, we'll start by introducing you to the core components and concepts of network architecture, including subnets, routes, firewalls, and load balancing.
Then in the second module, network topologies, we'll dive into various network topologies commonly used in Google Cloud, discussing their strengths, and weaknesses.
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Welcome to the second course in the networking and Google Cloud series routing and addressing.
In this course, we'll cover the central routing and addressing concepts that are relevant to Google Cloud's networking capabilities.
Module one will lay the foundation by exploring network routing and addressing in Google Cloud, covering key building blocks such as routing IPv4, bringing your own IP addresses and setting up cloud DNS. In Module two will shift our focus to private connection options, exploring use cases and methods for accessing Google and other services privately using internal IP addresses.
By the end of this course, you'll have a solid grasp of how to effectively route and address your network traffic within Google Cloud.
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Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals.
This course provides a comprehensive overview of core networking concepts, including networking fundamentals, virtual private clouds (VPCs), and the sharing of VPC networks. Additionally, the course covers network logging and monitoring techniques.
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Security is an uncompromising feature of Google Cloud Platform services, and GCP has developed specific tools for ensuring safety and identity across your projects. In this game you will get hands-on practice with various security tools of the Google Cloud Platform.
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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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These labs help you get started with the skills you need to develop and train ML models. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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These labs help you get started with the skills you need to analyze sports-related data. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Welcome to the Learn to Earn Cloud Data Challenge! These labs help you get started with data analysis skills. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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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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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.
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Earn a skill badge by completing the Measure Site Reliability using Cloud Operations Suite quest, where you will learn how to set Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs); create logs-based metrics to capture to capture specific issues and address them; define alerts to notify Site Reliability Engineers of issues in production environment, and troubleshoot application issues with Cloud Trace, Debugger, Profiler, Monitoring and Logging. 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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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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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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This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud.
Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
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In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn about how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers.
Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the first course of the Developing APIs with Google Cloud's Apigee API Platform series. After completing this course, enroll in the API Security on Google Cloud's Apigee API Platform course.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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In "Architecting with Google Kubernetes Engine- Workloads", you'll embark on a comprehensive journey into cloud-native application development. Throughout the learning experience, you'll explore Kubernetes operations, deployment management, GKE networking, and persistent storage. 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- Production course.
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This on-demand course equips students to understand and adopt Istio-based
service-mesh with Anthos for centralized observability, traffic management,
and service-level security.
This is the second course of the Architecting Hybrid Cloud Infrastructure with
Anthos series. After completing this course, learners should continue to the
Hybrid Cloud Multi-Cluster with Anthos course.
Completion of the Architecting with Google Kubernetes Engine path is a
prerequisite for this course.
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Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge course to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness.
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Welcome to Hybrid Cloud Infrastructure Foundations with Anthos!
This is the first course of the Architecting Hybrid Cloud Infrastructure with Anthos path. Anthos enables you to build and manage modern applications, and gives you the freedom to choose where to run them. Anthos gives you one consistent experience in both your on-premises and cloud environments.
During this course, you will be presented with modules that will take you through skills that you will use as an architect or administrator running Anthos environments. The modules in this course include videos, hands-on labs, and links to helpful documentation.
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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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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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Today’s cyber attacks are outpacing many organizations' defensive capabilities. With threats growing in volume and sophistication, organizations everywhere are being routinely compromised and held hostage by ransomware because they’re not equipped to combat the adversary. Join us for a self-guided hands-on workshop program on how to respond to common ransomware scenarios using instructional labs created by Palo Alto Networks and Google Cloud. These labs illustrate and help you understand the critical steps security operations teams need to take in to investigate and respond to an attack.
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In this introductory level Quest you will gain practical experience on the fundamentals of sports data science using BigQuery. Start your journey by creating a soccer dataset in BigQuery by importing CSV and JSON files. Harness the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on the soccer event data and evaluate the impressiveness of World Cup goals.
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Are you ready for #MarchMadness? (Learn more about this high-intensity competition: bitly of https://medium.com/analyzing-ncaa-college-basketball-with-gcp.) No matter what sport you follow, they all have one thing in common: data. Learn how Google Cloud can help you step your game up, both on and off the court (field, track, pitch, you get the idea…) Complete this badge and win 25$ worth Cloud Skills Boost credits! Access code:- 1q-tipoff-418
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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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 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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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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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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This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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The Google Cloud team has prepared two custom labs for this event. On completing the two labs you will have learnt how to quickly deploy software to a Kubernetes cluster that is ready to handle production workloads. Furthermore, you’ll also have used our approach to easily progress an application through multiple Kubernetes clusters in your release pipeline.
We really hope you enjoy the labs!
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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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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.
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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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The experienced user of Google Cloud will learn how to describe build, change, provision, and destroy infrastructure, using Terraform in the cloud environment. In these hands-on labs, you will learn how to import existing infrastructure, write Terraform configuration that matches that infrastructure, and manipulate state storage with Terraform. You will demonstrate provider installation and versioning. Build, change, provision, and destroy basic infrastructure and review the Terraform plan to ensure the configuration matches the expected state and infrastructure.
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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 accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
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Welcome to the Learn To Earn Cloud Challenge security track! These eight labs give you the keys to understanding GCP's powerful security suite. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Security game badge, and you'll be one step closer to collecting all four badges (see "what's next" below for more information).
Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge data plus track! "The Google Cloud Certified Professional Data Engineer certification is associated with the highest paying salary in IT," according to the most recent Global Knowledge skills and salary report (published August 2021). Complete this game to earn the Data Plus game badge, and be eligible for a +bonus+ prize in the Learn to Earn Cloud Challenge. See "what's next" below for details and requirements; you’ll need to earn at least 2 additional challenge badges to qualify. You'll learn next-level data skills to add to your resume. Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge data track! These eight labs give you a deep dive into GCP's data universe. At the end of each lab, you'll have another in-demand skill to add to your list. Complete this game to earn the Data game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge architecture track! These eight labs give you a blueprint of GCP's building blocks. At the end of each lab, you'll have hands-on experience with another tool or service to add to your resume. Complete this game to earn the Architecture game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge! These eight labs give you a quick hands-on introduction to eight different GCP tools and services. At the end of each lab, you'll have another skill to add to your list. Complete this game to earn the Essentials game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
Responsible AI: Applying AI Principles with Google Cloud
Earned Sep 30, 2025 EDT
Introduction to Responsible AI
Earned Sep 29, 2025 EDT
Introduction to Large Language Models
Earned Sep 29, 2025 EDT
Introduction to Generative AI
Earned Sep 29, 2025 EDT
Networking in Google Cloud: Hybrid and Multicloud
Earned Sep 19, 2024 EDT
Networking in Google Cloud: Load Balancing
Earned Sep 18, 2024 EDT
Networking in Google Cloud: Network Security
Earned Sep 17, 2024 EDT
Networking in Google Cloud: Network Architecture
Earned Sep 16, 2024 EDT
Networking in Google Cloud: Routing and Addressing
Earned Sep 16, 2024 EDT
Networking in Google Cloud: Fundamentals
Earned Sep 13, 2024 EDT
Cloud Hero: Security
Earned Oct 19, 2022 EDT
Website on Google Cloud
Earned Sep 28, 2022 EDT
Learn to Earn Cloud Challenge: Machine Learning Engineering Skills
Earned Jul 5, 2022 EDT
Learn to Earn Cloud Challenge: Sports Data Analysis Skills
Earned Jul 2, 2022 EDT
Learn to Earn Cloud Data Challenge: Data Analyst Skills
Earned Jun 29, 2022 EDT
Build a Data Warehouse with BigQuery
Earned Jun 11, 2022 EDT
DEPRECATED Google Cloud's Operations Suite
Earned May 25, 2022 EDT
Measure Site Reliability using Cloud Operations Suite
Earned May 24, 2022 EDT
Monitor and Log with Google Cloud Observability
Earned May 24, 2022 EDT
Set Up an App Dev Environment on Google Cloud
Earned May 22, 2022 EDT
Logging and Monitoring in Google Cloud
Earned May 14, 2022 EDT
API Design and Fundamentals of Google Cloud's Apigee API Platform
Earned May 11, 2022 EDT
Developing a Google SRE Culture
Earned May 10, 2022 EDT
Architecting with Google Kubernetes Engine: Workloads
Earned Apr 2, 2022 EDT
Hybrid Cloud Service Mesh with Anthos
Earned Apr 1, 2022 EDT
Optimize Costs for Google Kubernetes Engine
Earned Mar 24, 2022 EDT
Hybrid Cloud Infrastructure Foundations with Anthos
Earned Mar 19, 2022 EDT
Reliable Google Cloud Infrastructure: Design and Process
Earned Mar 18, 2022 EDT
Getting Started with Google Kubernetes Engine
Earned Mar 16, 2022 EDT
Palo Alto Networks Cortex XSOAR Game
Earned Mar 16, 2022 EDT
Sports Analytics: Pitch Perfect BigQuery
Earned Mar 15, 2022 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Mar 15, 2022 EDT
Tipoff! Sports data analysis with GCP
Earned Mar 15, 2022 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned Mar 15, 2022 EDT
Architecting with Google Kubernetes Engine: Foundations
Earned Mar 9, 2022 EST
Essential Google Cloud Infrastructure: Foundation
Earned Mar 7, 2022 EST
Set Up a Google Cloud Network
Earned Mar 7, 2022 EST
Develop Your Google Cloud Network
Earned Mar 6, 2022 EST
Preparing for your Professional Cloud Architect Journey
Earned Mar 6, 2022 EST
Dev:Run
Earned Mar 2, 2022 EST
Kubernetes in Google Cloud
Earned Dec 13, 2021 EST
Cloud Architecture: Design, Implement, and Manage
Earned Dec 8, 2021 EST
Deploy Kubernetes Applications on Google Cloud
Earned Dec 2, 2021 EST
DEPRECATED Cloud Architecture
Earned Nov 21, 2021 EST
Terraform by HashiCorp Game
Earned Nov 18, 2021 EST
Google Cloud Fundamentals: Core Infrastructure
Earned Nov 15, 2021 EST
Essential Google Cloud Infrastructure: Core Services
Earned Nov 12, 2021 EST
Learn to Earn Cloud Challenge: Security
Earned Oct 1, 2021 EDT
Learn to Earn Cloud Challenge: Data+
Earned Sep 30, 2021 EDT
Learn to Earn Cloud Challenge: Data
Earned Sep 29, 2021 EDT
Learn to Earn Cloud Challenge: Architecture
Earned Sep 28, 2021 EDT
Learn to Earn Cloud Challenge: Essentials
Earned Sep 28, 2021 EDT