Create and Manage Cloud SQL for PostgreSQL Instances
Earned oct. 14, 2025 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned oct. 14, 2025 EDT
Select a Google Cloud Database for Your Applications
Earned oct. 12, 2025 EDT
Build a Certification Study Guide: PMLE
Earned oct. 2, 2025 EDT
Develop Serverless Applications on Cloud Run
Earned mars 22, 2025 EDT
Set Up an App Dev Environment on Google Cloud
Earned mars 9, 2025 EDT
BigQuery for Machine Learning
Earned mars 8, 2025 EST
Intro to ML: Language Processing
Earned mars 8, 2025 EST
Introduction to AI and Machine Learning on Google Cloud
Earned mars 7, 2025 EST
Implementing Cloud Load Balancing for Compute Engine
Earned mars 7, 2025 EST
Google Cloud Fundamentals: Core Infrastructure
Earned mars 3, 2025 EST
Google Cloud Essentials
Earned mars 3, 2025 EST
Baseline: Infrastructure
Earned mars 3, 2025 EST
Engineer Data for Predictive Modeling with BigQuery ML
Earned mars 3, 2025 EST
Create ML Models with BigQuery ML
Earned mars 3, 2025 EST
Prepare Data for ML APIs on Google Cloud
Earned mars 2, 2025 EST
Security & Identity Fundamentals
Earned mars 1, 2025 EST
Analyze Sentiment with Natural Language API
Earned fév. 26, 2025 EST
Analyze Speech and Language with Google APIs
Earned fév. 17, 2025 EST
Use Machine Learning APIs on Google Cloud
Earned fév. 17, 2025 EST
In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.
En savoir plus
Learn how to use NotebookLM to create a personalized study guide for the Professional Cloud Architect certification exam.
You'll review NotebookLM features, create a notebook in NotebookLM, and learn how to use a study guide to practice for a certification exam.
En savoir plus
In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
En savoir plus
This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
En savoir plus
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.
En savoir plus
Earn a skill badge by completing the Monitor Environments with Google Cloud Managed Service for Prometheus skill badge course, where you learn Kubernetes Monitoring with Google Cloud Managed Service for Prometheus.
En savoir plus
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.
En savoir plus
In this course, you will learn the basic skills to implement secure and efficient DevSecOps practices on Google Cloud. You'll learn how to secure your development pipeline with Google Cloud services like Artifact Registry, Cloud Build, Cloud Deploy, and Binary Authorization. This enables you to build, test, and deploy containerized applications with security controls throughout the CI/CD pipeline.
En savoir plus
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.
En savoir plus
This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
En savoir plus
Gemini Cloud Assist investigations is an AI-enabled tool for iterative troubleshooting in Google Cloud environments, and aims to help users troubleshoot common issues to find the root cause of problems that may occur when using Google Cloud services.
This course equips DevOps, SRE, and platform engineers with the skills to effectively use Gemini Cloud Assist investigations for streamlined troubleshooting of Google Cloud services. The training focuses on foundational knowledge of Gemini Cloud Assist investigations, with the intent to reduce troubleshooting time and enhance overall operational efficiency for users of Google Cloud.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
This course provides database professionals with the strategic framework to eliminate operational silos. Database Center with Gemini is a unified command console for your entire database estate and by using it, you consolidate fully managed services and self-managed databases on Compute Engine into a single observability dashboard. This course helps you master Gemini-assisted insights, transition from reactive troubleshooting to proactive leadership, gain the ability to automate security posture management, enforce organization-wide compliance standards, and optimize performance before bottlenecks impact the business.
En savoir plus
Migrating between fundamentally incompatible database engines—such as moving from commercial legacy systems to cloud-native AlloyDB— is a major architectural shift. Architect this heterogeneous database migration using the DMS conversion workspace and Gemini to refactor database logic and stored procedures. Build reliable, rule-based pipelines with DMS mapping rules and ensure data fidelity via the Data Validation Tool (DVT). Develop the skills to systematically guide an enterprise migration from assessment to production cutover.
En savoir plus
Orchestrate the complete execution of a homogeneous database migration to Google Cloud. In this course, you will see how to use the Database Migration Service (DMS) for live replication and the Data Validation Tool (DVT) to certify data integrity. You will learn the engine specific steps for preparing sources like PostgreSQL and SQL Server for a move to an equivalent managed target such as AlloyDB and Cloud SQL. You will leave ready to oversee a seamless, validated migration, ensuring a fast, reliable, and low risk transition to a managed Google Cloud database.
En savoir plus
Ready to move your databases to Google Cloud? This course provides the strategy. Learn to evaluate business drivers to overcome high on-premise costs and vendor lock-in. Use Migration Center to discover assets, analyze TCO, and build a phased wave plan. You’ll learn to choose the right migration path and identify the right Google Cloud solutions for your workloads. You'll leave with a data-driven business case and a clear roadmap, ready to win executive buy-in and lead a successful migration.
En savoir plus
Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
En savoir plus
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.
En savoir plus
Welcome to Observability in Google Cloud, the second part of a two-part course series. It is suggested that you complete part 1, Logging and Monitoring in Google Cloud, prior to taking this course.
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
En savoir plus
Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
En savoir plus
This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.
Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.
En savoir plus
Learn how to use NotebookLM to create a personalized study guide for the Associate Cloud Engineer certification exam.
You'll review NotebookLM features, create a notebook in NotebookLM, and learn how to use a study guide to practice for a certification exam.
En savoir plus
This quest introduces you to Vault and teaches you how to secure, store, and tightly control access to tokens, passwords, certificates, and encryption keys to protect secrets and other sensitive data.
En savoir plus
Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical experience with Vertex AI Vector Search to build your intelligent search engine. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
En savoir plus
In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.
En savoir plus
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.
En savoir plus
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
En savoir plus
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This third course covers cloud automation and management tools and building secure networks.
En savoir plus
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
En savoir plus
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
Earn a skill badge by completing the Implement Event-Driven Messaging and Automation Workflows skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
En savoir plus
Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.
En savoir plus
Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.
En savoir plus
Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
En savoir plus
This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to Google Cloud while taking advantage of various services.
This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.
En savoir plus
Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.
En savoir plus
Complete the introductory Migrate MySQL Data to Cloud SQL Using Database Migration Service skill badge course to demonstrate skills in the following: migrating MySQL data to Cloud SQL using different job types and connectivity options available in Database Migration Service and migrating MySQL user data when running Database Migration Service jobs.
En savoir plus
In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud. You explore relational and NoSQL databases, dive into Cloud SQL, AlloyDB, and Spanner, and learn how to align database strengths with your application requirements, including those of generative AI. Gain hands-on experience configuring Vector Search and migrating applications to the cloud.
En savoir plus
Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
En savoir plus
Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
En savoir plus
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.
Developing Containerized Applications on Google Cloud
Earned juin 26, 2026 EDT
Build a Certification Study Guide: PCA Exam Prep
Earned juin 26, 2026 EDT
Developing Applications with Cloud Run Functions on Google Cloud
Earned juin 8, 2026 EDT
Service Orchestration and Choreography on Google Cloud
Earned juin 8, 2026 EDT
Reliable Google Cloud Infrastructure: Design and Process
Earned juin 7, 2026 EDT
Monitor Environments with Google Cloud Managed Service for Prometheus
Earned juin 6, 2026 EDT
Monitor and Log with Google Cloud Observability
Earned juin 5, 2026 EDT
Using DevSecOps in your Google Cloud Environment
Earned juin 4, 2026 EDT
Implement DevOps Workflows in Google Cloud
Earned juin 4, 2026 EDT
Getting Started with Terraform for Google Cloud
Earned juin 4, 2026 EDT
Troubleshooting with AI Using Cloud Assist Investigations
Earned juin 4, 2026 EDT
Developing a Google SRE Culture
Earned juin 4, 2026 EDT
Networking in Google Cloud: Hybrid and Multicloud
Earned juin 2, 2026 EDT
Networking in Google Cloud: Network Architecture
Earned juin 2, 2026 EDT
Networking in Google Cloud: Fundamentals
Earned juin 2, 2026 EDT
AI-powered Database Management with Gemini
Earned juin 1, 2026 EDT
Google Cloud Database Migrations: Heterogeneous
Earned juin 1, 2026 EDT
Google Cloud Database Migrations: Homogeneous
Earned juin 1, 2026 EDT
Google Cloud Database Migrations: Strategy
Earned juin 1, 2026 EDT
Build Infrastructure with Terraform on Google Cloud
Earned juin 1, 2026 EDT
Develop Your Google Cloud Network
Earned juin 1, 2026 EDT
Observability in Google Cloud
Earned mai 29, 2026 EDT
Logging and Monitoring in Google Cloud
Earned mai 29, 2026 EDT
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned mai 29, 2026 EDT
Getting Started with Google Kubernetes Engine
Earned mai 5, 2026 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned mai 5, 2026 EDT
Architecting with Google Kubernetes Engine: Foundations
Earned avr. 30, 2026 EDT
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned avr. 23, 2026 EDT
Build a Certification Study Guide: ACE Exam Prep
Earned avr. 23, 2026 EDT
Using Vault on Google Cloud
Earned avr. 7, 2026 EDT
Vector Search and Embeddings
Earned avr. 6, 2026 EDT
Developing Applications with Google Cloud: Foundations
Earned mars 30, 2026 EDT
Build a Secure Google Cloud Network
Earned mars 3, 2026 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned nov. 30, 2025 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned nov. 30, 2025 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned nov. 30, 2025 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned nov. 30, 2025 EST
Essential Google Cloud Infrastructure: Core Services
Earned nov. 30, 2025 EST
Google Developer Essentials
Earned nov. 30, 2025 EST
Essential Google Cloud Infrastructure: Foundation
Earned nov. 6, 2025 EST
Implement Event-Driven Messaging and Automation Workflows
Earned oct. 19, 2025 EDT
Create and Manage AlloyDB Instances
Earned oct. 18, 2025 EDT
Create and Manage Bigtable Instances
Earned oct. 16, 2025 EDT
Create and Manage Cloud Spanner Instances
Earned oct. 16, 2025 EDT
[DEPRECATED] Enterprise Database Migration
Earned oct. 15, 2025 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned oct. 14, 2025 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned oct. 14, 2025 EDT
Select a Google Cloud Database for Your Applications
Earned oct. 12, 2025 EDT
Build a Certification Study Guide: PMLE
Earned oct. 2, 2025 EDT
Develop Serverless Applications on Cloud Run
Earned mars 22, 2025 EDT
Set Up an App Dev Environment on Google Cloud
Earned mars 9, 2025 EDT
BigQuery for Machine Learning
Earned mars 8, 2025 EST
Intro to ML: Language Processing
Earned mars 8, 2025 EST
Introduction to AI and Machine Learning on Google Cloud
Earned mars 7, 2025 EST
Implementing Cloud Load Balancing for Compute Engine
Earned mars 7, 2025 EST
Google Cloud Fundamentals: Core Infrastructure
Earned mars 3, 2025 EST
Google Cloud Essentials
Earned mars 3, 2025 EST
Baseline: Infrastructure
Earned mars 3, 2025 EST
Engineer Data for Predictive Modeling with BigQuery ML
Earned mars 3, 2025 EST
Create ML Models with BigQuery ML
Earned mars 3, 2025 EST
Prepare Data for ML APIs on Google Cloud
Earned mars 2, 2025 EST
Security & Identity Fundamentals
Earned mars 1, 2025 EST
Analyze Sentiment with Natural Language API
Earned fév. 26, 2025 EST
Analyze Speech and Language with Google APIs
Earned fév. 17, 2025 EST
Use Machine Learning APIs on Google Cloud
Earned fév. 17, 2025 EST