Google Certifications

The Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. It includes over 100 products and services such as compute, storage, databases, machine learning, and more.

Google currently offers 11 certification exams for IT professionals to validate their GCP skills. Students can take the exam in person or online. Registration costs $99–200. The exams take between 90 min and 2 hours to complete and entail multiple-choice questions.

A wide range of learning resources, including courses and hands-on labs, are available on Coursera, Cloud Academy, A Cloud Guru (now part of Pluralsight), and Cloud Skill Boost (previously Qwiklabs) to prepare for the certification exams. Below, we’ve compiled more than 100 such resources that, we hope, will help you pass your Google certification.

Cloud Digital Leader Certification

The Cloud Digital Leader exam assesses general Google Cloud knowledge with multiple choice and multiple select questions. The registration fee is $99.

Google Cloud Digital Leader Training
Google Cloud via Coursera
The Cloud Digital Leader training consists of a course series designed to give you foundational knowledge about cloud technology and data. This training also offers an overview of Google Cloud products and services that enable organizations’ digital transformation.

Introduction to Digital Transformation with Google Cloud
Google Cloud via Coursera
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.

Innovating with Data and Google Cloud
Google Cloud via Coursera
In this course, you’ll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. This course also introduces learners to technical concepts such as structured and unstructured data. database, data warehouse, and data lakes. It then covers the most common and fastest growing Google Cloud products around data.

Infrastructure and Application Modernization with Google Cloud
Google Cloud via Coursera
We’ll explain how an organization can achieve digital transformation using Google Cloud’s technology through the following categories: modernizing its IT infrastructure, upgrading the way in which its teams develop applications that run a business, how it can leverage machine learning and artificial intelligence to build new value, how using cloud-based productivity tools like GSuite are essential to the way work gets done, and understand the cost management opportunities and challenges that come with a changing cloud-based IT infrastructure.

Understanding Google Cloud Security and Operations
Google Cloud via Coursera
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.

Google Cloud Digital Leader Training
Google Cloud via Udacity
Gain foundational literacy in cloud & digital transformation. Increase your cloud confidence so you can speak with colleagues in technical cloud roles and contribute to informed cloud-related business decisions.

GCP for Beginners – Become a Google Cloud Digital Leader
via Udemy
Google Cloud for Beginners. Start Cloud Computing with GCP and become a Cloud Digital Leader.

Google Cloud Certified Cloud Digital Leader
via A Cloud Guru
Level up your cloud knowledge in general, and your Google Cloud knowledge in particular.

Google Cloud Digital Leader Certification Course – Pass the Exam!
via freeCodeCamp
Prepare for the Google Cloud Digital Leader Certification and pass!

Cloud Digital Leader learning path via cloudskillsboost.google

Associate Cloud Engineer Certification

The Associate Cloud Engineer exam assesses Google Cloud knowledge in setting up a cloud environment, configuring a cloud solution, and deploying and implementing a cloud solution. The registration fee is $125.

Preparing for Google Cloud Certification: Cloud Engineer
Google Cloud via Coursera
This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Associate Cloud Engineer certification. Through a combination of presentations, demos, and labs, you’ll explore and deploy solution elements, including infrastructure components such as networks, systems and applications services; and you’ll gain real world experience through a number of hands-on Qwiklabs projects that you can share with potential employers.

Google Cloud Fundamentals: Core Infrastructure
Google via Coursera
This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.
★★★★☆ (8 ratings)

Essential Google Cloud Infrastructure: Foundation
Google Cloud via Coursera
This 1-week, accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. 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 Platform through the console and Cloud Shell.
★★★★☆ (1 rating)

Essential Google Cloud Infrastructure: Core Services
Google Cloud via Coursera
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 securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
★★★★☆ (1 rating)

Elastic Google Cloud Infrastructure: Scaling and Automation
Google Cloud via Coursera
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 securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
★★★★☆ (1 rating)

Architecting with Google Kubernetes Engine: Foundations
Google Cloud via Coursera
Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services.

Preparing for Your Associate Cloud Engineer Journey
Google Cloud via Coursera
Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination. This course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam.
★★★★★ (1 rating)

Prepare for the Google Cloud Platform Associate Cloud Engineer Exam
via LinkedIn Learning
The GCP Associate Cloud Engineer certification is intended for those who plan to deploy applications, monitor operations, and manage enterprise solutions on Google Cloud Platform. This learning path helps those looking to earn this prestigious certification.

GCP Associate Cloud Engineer – Google Cloud Certification
via Udemy
GCP ACE – Google Cloud Associate Cloud Engineer certification. Begin your Google Cloud Platform – GCP journey!

GCP Associate Cloud Engineer Certification : Google Cloud
via Udemy
Learn Google Cloud – GCP with 90+ Hands-on demo Lab & make yourself fully prepared for GCP Associate Cloud Engineer Exam

Google Certified Associate Cloud Engineer
via A Cloud Guru
This course is to prep you for the Google Cloud Associate Engineer exam!

Preparing for the Associate Cloud Engineer Examination
via Pluralsight
This on-demand course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination.

Google Cloud Associate Cloud Engineer: Get Certified 2022
via Udemy
Learn How to Pass the Exam from the author of the Official Certification Guide for Google

Cloud Engineer learning path via cloud.google.com

Professional Cloud Architect Certification

The Professional Cloud Architect exam assesses the ability to design and plan a cloud solution architecture, manage and provision the cloud solution infrastructure, and design for security and compliance. The registration fee is $200.

Preparing for Google Cloud Certification: Cloud Architect
Google Cloud via Coursera
This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Professional Cloud Architect certification. You’ll deploy solution elements, including infrastructure components such as networks, systems and applications services, and you’ll gain real world experience through hands-on Qwiklabs projects that you can share with potential employers.

Google Cloud Fundamentals: Core Infrastructure
Google via Coursera
This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.
★★★★☆ (8 ratings)

Essential Google Cloud Infrastructure: Foundation
Google Cloud via Coursera
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 Platform through the console and Cloud Shell.
★★★★☆ (1 rating)

Essential Google Cloud Infrastructure: Core Services
Google Cloud via Coursera
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 securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
★★★★☆ (1 rating)

Elastic Google Cloud Infrastructure: Scaling and Automation
Google Cloud via Coursera
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 securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
★★★★☆ (1 rating)

Reliable Google Cloud Infrastructure: Design and Process
Google Cloud via Coursera
This online course equips students to build highly reliable and efficient solutions on Google Cloud Platform, using proven design patterns and principles derived from Google Site Reliability Engineering (SRE). It is a continuation of the Architecting with Google Cloud Platform Specialization and assumes hands-on experience with the technologies covered in the other courses in the specialization.
★★★★☆ (1 rating)

Architecting with Google Kubernetes Engine: Foundations
Google Cloud via Coursera
Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services.

Preparing for your Professional Cloud Architect Journey
Google Cloud via Coursera
This course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan.
★★★★☆ (1 rating)

GCP Professional Cloud Architect: Google Cloud Certification
via Udemy
Become a GCP Cloud Architect. Architect Google Cloud Platform (GCP) Solutions. Includes 4 New Case Studies.

Google Certified Professional Cloud Architect
via A Cloud Guru
Gain the skills and knowledge to perform as a real-world, professional Cloud Architect.

Preparing for the Professional Cloud Architect Exam
via Pluralsight
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.

Google Cloud Professional Architect: Get Certified 2022
via Udemy
Latest Exam and Case Studies. Think Like an Architect. Design Scalable, Highly Available, Resilient Services.

Cloud Architect learning path via cloud.google.com

Professional Cloud Developer Certification

The Professional Cloud Developer exam assesses the ability to design cloud-native applications, build and test applications, deploy applications, integrate Google Cloud services, and monitor application performance. The registration fee is $200.

Preparing for Google Cloud Certification: Cloud Developer
Google Cloud via Coursera
A Cloud Developer designs, builds, analyzes, and maintains cloud-native applications. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Cloud Developer role. Once you complete the path, check out the Google Cloud Developer certification to take the next steps on your professional journey.

Google Cloud Fundamentals: Core Infrastructure
Google via Coursera
This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.
★★★★☆ (8 ratings)

Getting Started with Google Kubernetes Engine
Google Cloud via Coursera
This one-week, accelerated online class equips students to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.

Getting Started With Application Development
Google Cloud via Coursera
Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate GCP storage services for object storage, relational data, caching, and analytics.

Securing and Integrating Components of your Application
Google Cloud via Coursera
Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways.

App Deployment, Debugging, and Performance
Google Cloud via Coursera
Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.

Application Development with Cloud Run
Google Cloud via Coursera
This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, deploy, secure, manage, and scale applications

GCP Professional Cloud Developer Exam Tips
via LinkedIn Learning
Explore study tips and test-taking strategies for the Google Cloud Platform (GCP) Professional Cloud Developer certification exam.

Ultimate Google Certified Professional Cloud Developer
via Udemy
Detail Cloud Developer Certification Courses, Practice questions set based on March 2020 with additional 100+ Questions

Google Certified Professional Cloud Developer
via A Cloud Guru
This Google Certified Professional Cloud Developer preparation course teaches you the hands-on skills and knowledge you need to pass the Professional Cloud Developer exam. Start a Free Trial!

Google Cloud Developer – GCP Professional Certification
via Udemy
Get Google Cloud Developer Professional Certification. Develop Solutions for Google Cloud Platform – GCP.

Cloud Developer learning path via cloud.google.com

Professional Data Engineer Certification

The Professional Data Engineer exam assesses ability to design data processing systems, build and operationalize data processing systems, operationalize machine learning models, and ensure solution quality. The registration fee is $200.

Preparing for Google Cloud Certification: Cloud Data Engineer
Google Cloud via Coursera
This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.

Google Cloud Big Data and Machine Learning Fundamentals
Google Cloud via Coursera
This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
★★★☆☆ (5 ratings)

Modernizing Data Lakes and Data Warehouses with Google Cloud
Google Cloud via Coursera
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 Platform 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. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.

Building Batch Data Pipelines on Google Cloud
Google Cloud via Coursera
Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using QwikLabs.

Building Resilient Streaming Analytics Systems on Google Cloud
Google Cloud via Coursera
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 Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud 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 Platform using QwikLabs.

Smart Analytics, Machine Learning, and AI on GCP
Google Cloud via Coursera
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 Platform 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 AI Platform Notebooks and BigQuery Machine Learning. 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 Platform using QwikLabs.

Preparing for the Google Cloud Professional Data Engineer Exam
Google Cloud via Coursera
This course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don’t know. And it helps you develop and practice skills required of practitioners who perform this job.

Google Certified Professional Data Engineer
via A Cloud Guru
Learn how to master data and machine learning services on the Google Cloud Platform to become a certified Professional Data Engineer. Start a Free Trial.

GCP – Google Cloud Professional Data Engineer Certification
via Udemy
Learn Google Cloud Professional Data Engineer Certification with 80+ Hands-on demo on storage, Database, ML GCP Services

Preparing for the Google Cloud Professional Data Engineer Exam
via Pluralsight
This course helps prospective candidates structure their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions,candidates will familiarize themselves with the domain covered by the examination, so as to help them devise a preparation strategy. Rehearses useful skills including exam question reasoning and case comprehension. Tips. Review of topics from the Data Engineering curriculum.

Google Cloud Professional Data Engineer: Get Certified 2022
via Udemy
Build scalable, reliable data pipelines, databases, and machine learning applications.

Data Engineer learning path via cloud.google.com

Professional Cloud DevOps Engineer Certification

The Professional Cloud DevOps Engineer exam assesses ability to optimize service performance, implement service monitoring strategies, build and implement CI/CD pipelines for a service, and manage service incidents. The registration fee is $200.

Preparing for Google Cloud Certification: Cloud DevOps Engineer
Google Cloud via Coursera
This program provides the skills you need to advance your career as a data engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional DevOps Engineer certification. 87% of Google Cloud certified users feel more confident in their cloud skills.

Google Cloud Fundamentals: Core Infrastructure
Google via Coursera
This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.
★★★★☆ (8 ratings)

Developing a Google SRE Culture
Google Cloud via Coursera
This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.

Reliable Google Cloud Infrastructure: Design and Process
Google Cloud via Coursera
Through a combination of presentations, challenges, and hands-on labs, participants learn to design GCP deployments that are highly reliable and secure; and how to operate GCP deployments in a highly available and cost-effective manner.
★★★★☆ (1 rating)

Logging, Monitoring and Observability in Google Cloud
Google Cloud via Coursera
This three-day instructor-led course teaches participants techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and 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.

Getting Started with Google Kubernetes Engine
Google Cloud via Coursera
This one-week, accelerated online class equips students to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.

Google Professional Cloud DevOps Engineer Certification Path Introduction (GCP DevOps Engineer Track Part 1)
via A Cloud Guru
Pass Google’s Professional Cloud DevOps Engineer certification exam and become a Site Reliability Engineer (SRE) with our in depth GCP course. Start a Free Trial!

Cloud DevOps Engineer learning path via cloud.google.com

Professional Cloud Security Engineer Certification

The Professional Cloud Security Engineer exam assesses ability to configure access within a cloud solution environment, configure network security, ensure data protection, and manage operations within a cloud solution environment. The registration fee is $200.

Preparing for Google Cloud Certification: Cloud Security Engineer
Google Cloud via Coursera
This program provides the skills you need to advance your career as a security engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional Cloud Security Engineer certification.

Preparing for Your Professional Cloud Security Engineer Journey
Google Cloud via Coursera
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.

Google Cloud Fundamentals: Core Infrastructure
Google via Coursera
This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.
★★★★☆ (8 ratings)

Networking in Google Cloud: Defining and Implementing Networks
Google Cloud via Coursera
This self-paced training course gives participants broad study of networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets and firewalls.

Networking in Google Cloud: Hybrid Connectivity and Network Management
Google Cloud via Coursera
This self-paced training course builds on the Networking in GCP: Defining and Implementing Networks course and enhances participants study of networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as the interconnection among networks, common network design patterns and the automated deployment of networks using Deployment Manager.

Managing Security in Google Cloud
Google Cloud via Coursera
Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.
★★★★★ (2 ratings)

Security Best Practices in Google Cloud
Google Cloud via Coursera
Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, Security Command Center, the Google Data Loss Prevention API, and Cloud Armor.

Mitigating Security Vulnerabilities on Google Cloud
Google Cloud via Coursera
This self-paced training course gives participants broad study of security controls and techniques on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor.

Hands-On Labs in Google Cloud for Security Engineers
Google Cloud via Coursera
This course is unlike other courses, in that it consists of one module of background videos, followed by a series of hands-on practice exercises on Google Cloud via Qwiklabs. The practice modules include no videos, lectures, or quizzes – just more practice on real Google Cloud.

Preparing for Your Professional Cloud Security Engineer Journey
via Pluralsight
This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam.

Google Cloud Certified Professional Cloud Security Engineer
via A Cloud Guru
Get a Google Cloud Security certification with our course that prepares you for the Professional Cloud Security Engineer certification exam. Start a Free Trial!

Security Engineer learning path via cloud.google.com

Professional Cloud Network Engineer Certification

The Professional Cloud Network Engineer exam assesses ability to design, plan, and prototype a GCP Network, implement a GCP Virtual Private Cloud (VPC), configure network services, implement hybrid interconnectivity, and implement network security. The registration fee is $200.

Preparing for Google Cloud Certification: Cloud Network Engineer
Google Cloud via Coursera
This program provides the skills you need to advance your career as a network engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional Network Engineer certification. You’ll also have the opportunity to practice key job skills using Google Cloud to build networks, implement VPCs, configure network services, and implement hybrid interconnectivity among other things.

Google Cloud Fundamentals: Core Infrastructure
Google via Coursera
This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.
★★★★☆ (8 ratings)

Networking in Google Cloud: Defining and Implementing Networks
Google Cloud via Coursera
This self-paced training course gives participants broad study of networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets and firewalls. The course also covers access control to networks, sharing networks and load balancing.

Networking in Google Cloud: Hybrid Connectivity and Network Management
Google Cloud via Coursera
This self-paced training course builds on the Networking in GCP: Defining and Implementing Networks course and enhances participants study of networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as the interconnection among networks, common network design patterns and the automated deployment of networks using Deployment Manager.

Hands-On Labs in Google Cloud for Networking Engineers
Google Cloud via Coursera
Networking is a principal 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. In this series of hands-on labs, completed on Qwiklabs, you will gain additional practice with specialized tools for developing mature networks. This course is unlike other courses, in that it consists of one module of background videos, followed by a series of hands-on practice exercises on Google Cloud via Qwiklabs. The practice modules include no videos, lectures, or quizzes – just more practice on real Google Cloud.

Preparing for Your Professional Cloud Network Engineer Journey
Google Cloud via Coursera
This course helps you structure your preparation for the Professional 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.

Google Certified Professional Cloud Network Engineer
via A Cloud Guru
Prepare for the Google Cloud Professional Cloud Network Engineer exam by learning to implement and manage network architectures on GCP. Start a Free Trial!

Preparing for Your Professional Cloud Network Engineer Journey
via Pluralsight
This course helps you structure your preparation for the Professional Cloud Engineer exam.

Network Engineer learning path via cloud.google.com

Professional Machine Learning Engineer Certification

The Professional Machine Learning Engineer exam assesses your ability to frame ML problems, architect ML solutions, design data preparation and processing systems, develop ML models, automate & orchestrate ML pipelines. The registration fee is $200.

Preparing for Google Cloud Certification: Machine Learning Engineer
Google Cloud via Coursera
This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning Engineer certification.

Google Cloud Big Data and Machine Learning Fundamentals
Google Cloud via Coursera
This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

How Google does Machine Learning
Google Cloud via Coursera
What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently — of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this.
★★★★★ (3 ratings)

Launching into Machine Learning
Google Cloud via Coursera
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way that supports experimentation.
★★★★☆ (2 ratings)

TensorFlow on Google Cloud
Google Cloud via Coursera
We introduce low-level TensorFlow and work our way through the necessary concepts and APIs so as to be able to write distributed machine learning models. Given a TensorFlow model, we explain how to scale out the training of that model and offer high-performance predictions using Cloud Machine Learning Engine.

Feature Engineering
Google Cloud via Coursera
Want to know how you can improve the accuracy of your machine learning models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering on Google Cloud Platform where we will discuss the elements of good vs bad features and how you can preprocess and transform them for optimal use in your machine learning models. In this course you will get hands-on practice choosing features and preprocessing them inside of Google Cloud Platform with interactive labs.

Machine Learning in the Enterprise
Google Cloud via Coursera
Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance. In this course you will learn the many knobs and levers involved in training a model. You will first manually adjust them to see their effects on model performance.

Production Machine Learning Systems
Google Cloud via Coursera
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments.

MLOps (Machine Learning Operations) Fundamentals
Google Cloud via Coursera
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.

ML Pipelines on Google Cloud
Google Cloud via Coursera
In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. You will learn about pipeline components and pipeline orchestration with TFX.

Data Scientist / Machine Learning Engineer learning path via cloud.google.com

Professional Google Workspace Administrator

The Professional Google Workspace Administrator exam assesses ability to plan and implement Google Workspace authorization and access, control and configure Google Workspace services, monitor organizational operations, and advance Google Workspace collaboration. The registration fee is $200. 

Google Cloud Certified Fellow: Hybrid Multi-cloud Certification

The Google Cloud Certified Fellow Program is for cloud architects and technical leaders who are experts in designing enterprise solutions. The certification is for individuals with enterprise Anthos experience and is currently open only to nominated participants. Participants need to receive an invitation, submit application and work samples, pass a series of hands-on labs and interview with a panel of experts.

Hybrid and Multi-cloud Cloud Architect Learning Path Hands-on Labs
Qwiklabs
This learning path focuses on containers, Anthos, and Kubernetes. Learn the skills needed to modernize existing applications running on virtual machines while deploying cloud-native apps on containers in an increasingly hybrid and multi-cloud world.