15 Free + Best Google Cloud Certification & Training Courses

Get ready to start a journey in cloud technology with the help of our comprehensive Google Cloud courses. Gain all the important skills required for certification in data engineering and cloud architecture.

Key Takeaways

Learn how to manage and deploy cloud solutions through the Google Cloud Platform.
A chance to gain insights into cloud security, big data, and machine learning.
Prepare yourself for multiple Google Cloud certifications.

What can you achieve with Google Cloud certification courses?

These courses can prepare you to not only design but develop and manage secure, scalable, and dynamic solutions using Google Cloud technologies. Get all the help you need to advance your career in IT and Cloud.

In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Python for Everybody Specialization

- - University of Michigan via Coursera
  - 8 Months of effort required
  - 950,387+ already enrolled!
  - ★★★★★ (325,444 Ratings)

Google Cloud Certification & Training Courses Evaluation & Selection Criteria

We selected each course for its depth in cloud technology, endorsements from industry professionals, and alignment with Google Cloud Certifications.

Top Google Cloud Certification & Training Courses:

- - Google Cloud Training via Coursera
  - 2 hours of effort required
  - 16,556+ already enrolled!
  - ★★★★★ (834 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

This specialization elaborates the Business Transformation with Google Cloud Certification Course by taking you on a journey into the innovation focal point of an association’s change. Specifically, you will learn how an association can accomplish computerized change utilizing Google Cloud’s innovation.

All through the specialization, you will gain core concepts, for example, process, applications, security, APIs, information bases, and their parts in computerized change. Also, you will find out about specific examples where diverse cloud innovation has been utilized and the advantages they have made for people and organizations internationally.

More importantly, you will fully equip with the knowledge that you should either lead or impact advanced change projects, teaming up with the correct stakeholders. This specialization is also a part of multiple programs such as Digital Transformation Using AI/ML with Google Cloud Specialization and Organizational Change and Culture for Adopting Google Cloud Specialization.

This course is excellent for anybody hoping to secure or find out about the basics of the google cloud stage. This course helped me learn what one can accomplish with it. In these couple of weeks, the course has helped me to comprehend the essentials. It has also given me the knowledge of the basics that I need to know to pick the correct assistance on google cloud (Spear A, ★★★★★).

Got a decent comprehension of google cloud items contributions. It likewise caused me to see some of the terms like the tensor stream and so on that were unknown to me. I will take up Business change transformation straight away and might also take a probable cost management course (anantha n v, ★★★★★).

Google Cloud Security Professional Certificate

- - Google Cloud Training via Coursera
  - 5 Months (3 hours weekly) of effort required
  - 86,68+ already enrolled!
  - ★★★★★ (570 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

87% of Google Cloud guaranteed clients feel more sure about their cloud skills. This program gives the aptitudes you need to propel your vocation as a security engineer and provides training to help your groundwork for the business perceived Google Cloud Professional Cloud Security Engineer certification. Unlock valuable insights with our collection of free training resources tailored specifically to prepare you for the CompTIA Cloud+ exam.

First and foremost, you will get familiar with the abilities that should have been fruitful in a cloud security engineer job, you will also be preparing for the Google Cloud Professional Cloud Security Engineer confirmation test. Furthermore, you will be exploring Cloud Security including managing access, configuring network security, analyzing logs, defining organizational structure/ policies, and, and configure Google VPC networks, subnets, and routers. By the end of this specialization, you will be able to create, delete, update, and undelete custom IAM roles. You might be interested in best online looker training classes.

This was outstanding amongst other courses I learned from. An exceptionally basic and simple approach to do the labs and comprehend the ideas. Despite the fact that the content of the course is around basics, it assists with recollecting the terminologies (Sanjeev K V, ★★★★★).

Incredible course to present the specialization. It very well may be more vigorous. I think it does the work, and you are given connections for reports that will help you expand on what you have gained in the course (Gilson F, ★★★★★).

You might also be interested in IBM Data Science Professional Certificate Review from IBM.

Cloud Architecture with Google Cloud Professional Certificate

- - Google Cloud Training via Coursera
  - 3 Months (6 hours weekly) of effort required
  - 14,972+ already enrolled!
  - ★★★★★ (8,117 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

This specialization is the best asset to propel your career in cloud architecture. This program gives the aptitudes you need to propel your professional cloud design and gives a pathway to acquire the business perceived Google Cloud Professional Cloud Architect affirmation.

Moreover, you will be learning about deploy solution elements, including framework segments, for example, organizations, frameworks, and applications administrations. In addition to this, you will pick up certifiable experience through various active Qwiklabs projects that you can impart to potential employers.

You will also have the opportunity to practice key job tendencies, including case examination, recognizing specialized watchpoints, and creating proposed solutions, and testing your essential capacities with Activity Tracking Challenge Labs. For the most part, the students looking to get affirmed, this program will likewise give sample questions similar to those on the exam, solutions, and practice exam quizzes that mimic the test-taking experience.

This was a phenomenal course. It gave knowledge into the most essential GCP IaaS items like VPCs and Compute Engine VMs. It completely clarified their utilization, and the labs assisted with intriguing useful applications helped us with the platform (Varun R G, ★★★★★).

Cloud Engineering with Google Cloud Professional Certificate

- - Google Cloud Training via Coursera
  - 4 Months (4 hours weekly) of effort required
  - 10,826+ already enrolled!
  - ★★★★★ (7,105 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

This specialization will help you in gaining all of the skills that are needed to update your career as a Cloud Engineer. Through a blend of introductions, demos, and labs, you will investigate and convey arrangement components, including foundation parts, for example, organizations, frameworks, and applications administrations.

Throughout the whole specialization, you will be developing the abilities needed to achieve success in an exceeding cloud engineering role. Moreover, you may be able to properly understand the intent of the Associate Cloud Engineer certification and its relationship to other Google Cloud certifications. As you additionally proceed through this specialization, you will get prepared for the Associate Cloud Engineer certification, and you will know more about the infrastructure and platform services provided by Google Cloud Platform. Check out the 9 Best Network+ Certification Training Courses.

This Google Cloud Certification has additional 6 different courses. The first being about the Google Cloud Platform’s core infrastructure. The second Google Cloud Certification course is about the essential google cloud infrastructure. The third and fourth one is about the core services, scaling, and automation. The last two courses are about Google Kubernetes engine and preparation for the Google cloud associate cloud engineer exam.

Generally, excellent course to extend Cloud IAM, Data Storage Services such as Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, and Cloud Bigtable. This course also had knowledge about Resource Management and Resource Monitoring Stack driver. The research centers go with what is found in the theory with engaging practical exercises (Juan D P, ★★★★★).

Data Engineering with Google Cloud Professional Certificate

- - Google Cloud Training via Coursera
  - 4 Months (4 hours weekly) of effort required
  - 52,555+ already enrolled!
  - ★★★★★ (5,289 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆	Fair ★★★☆☆

This is one of the best specializations for Data Engineering. This specialization will help you prepare for the Professional Data Engineer certification in no time. The primary motivation behind this specialization is to recognize the reason and estimation of the key Big Data and Machine Learning items in Google Cloud.

There are 6 Courses in this Professional Certificate. The first course is Google Cloud Platform Big Data and Machine Learning Fundamentals. The second and third course is Modernizing Data Lakes and Data Warehouses with GCP, and Building Resilient Streaming Analytics Systems on GCP. The last two courses are all about the Smart Analytics, Machine Learning, and AI on GCP and the preparation of the Google Cloud Professional Data Engineer Exam. You can also checkout cloud computing courses at takethiscourse.net.

By the end of this specialization, you will know the big data capabilities of Google Cloud, and you will have complete over of Google Cloud. In addition, you will know the role of a data engineer and the benefits of a successful data pipeline to business operations.

Generally, a decent curated course to help comprehend the GCP contributions. This course also taught a very high-level architecture of how their contributions fit in the current landscape. Simple to track with as this was a basic course (Varun S, ★★★★★).

This course truly helped me in seeing precisely how Big information and Machine learning can be utilized in Cloud. I also got to know about the straightforwardness to utilize it. Much thanks to you for adding every one of the essentials to this course (Anurag S D, ★★★★★).

Developing Applications with Google Cloud Platform Specialization

- - Google Cloud Training via Coursera
  - 1 Months (14 hours weekly) of effort required
  - 62,050+ already enrolled!
  - ★★★★★ (6,976 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

In this specialization, application developers will figure out how to configure, create, and send applications that consistently incorporate oversaw administrations from the Google Cloud Platform (GCP). This specialization is proposed for engineers who need to gather cloud-neighborhood applications or overhaul existing applications that will run on Google Cloud Platform.

Those who enroll in this specialization will learn how to utilize GCP administrations and pre-prepared AI APIs to fabricate secure, adaptable, and astute cloud-local applications. Students can decide to finish labs in their number one language: Node.js, Java, or Python. Moreover, in this specialization, you will learn to use the best practices for application development, you will also be developing an understanding of how to choose the appropriate data storage option for application data.

The skills that you will acquire through this specialization will help you to implement federated identity management, and develop loosely coupled application components or microservices. Last but not the least, you will be integrating application components and data sources, will be able to debug, trace, and monitor applications, and perform repeatable deployments with containers and deployment services.

Extraordinary course to present the specialization. This was definitely a robust course. This course still manages to teach you very well. Moreover, through this course, you also get links for documents that will help you build on what you learn in the course (Gilson F, ★★★★★).

SRE and DevOps Engineer with Google Cloud Professional Certificate

- - Google Cloud Training via Coursera
  - 3 Months (5 hours weekly) of effort required
  - 15,234+ already enrolled!
  - ★★★★★ (1,158 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Fair ★★★☆☆	Fair ★★★☆☆

This program gives the skills you need to propel your vocation as an information engineer and gives preparing to help your groundwork for the business perceived Google Cloud Professional DevOps Engineer confirmation. All through this course, you will be taking a look at strategies for checking, troubleshooting, and improving infrastructure and application performance in Google Cloud guided by principles of SRE.

Overall, in this specialization, you will understand the purpose and intent of the Professional Cloud DevOps Engineer certification and its relationship to other Google Cloud certifications. This Certificate has a total of 5 courses. In these courses, you will learn important concepts and terminology for working with Google Cloud Platform (GCP), and you will be understanding resource and policy management tools.

By the end of these courses, you will have practices the Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption, and you will be able to deploy new code in a Kubernetes cluster to provide application updates.

I truly, think this is a decent method to help the individuals who haven’t had an association with GCP before on target. In general, this course is also good for those however it additionally is of great use for those who want to discover more capabilities of the platform (Edgar M R H, ★★★★★).

Accommodating and instructive course. The video lectures guided me in a splendid way, and tests assisted with remembering what I realized. Additionally, the session was totally masterminded and gave us legitimate benefit (ASMA M, ★★★★★).

Data Engineering, Big Data, and Machine Learning on GCP Specialization

- - Google Cloud Training via Coursera
  - 2 Months (10 hours weekly) of effort required
  - 33,415+ already enrolled!
  - ★★★★★ (11,061 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

This specialization will help you to identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud. Through the different contents in this specialization, you will be able to identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.

Furthermore, you will understand how to use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud. Not only this but this will also help you to choose between different data processing products on Google Cloud. Last but not the least, you will know how to employ BigQuery to carry out interactive data analysis. You can follow here for more Data Science and Big Data Online Courses.

Well as I would like to think the most intriguing part of this course is on the subject of optimization of the big query. As I took this course to acquire a secret that I may not know whether I didn’t insight in the field or someone educates me regarding how to perform the optimization (Iman R, ★★★★★).

Let’s continue with more Google Cloud Certification & Training Classes.

Machine Learning

- - Stanford University via Coursera
  - 64 hours of effort required
  - 3,862,601+ already enrolled!
  - ★★★★★ (143,423 Ratings)

Digital Transformation Using AI/ML with Google Cloud Specialization

- - Google Cloud Training via Coursera
  - 3 Months (2 hours weekly) of effort required
  - 142,305+ already enrolled!
  - ★★★★★ (4,845 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

This series of courses starts by acquainting principal Google Cloud ideas with establish the framework for how organizations use information, AI (ML), and man-made consciousness (AI) to change their plans of action. Similarly, this specialization is proposed for anybody intrigued by how the utilization of AI and ML for the cloud, and particularly for information, makes openings and requires change for organizations.

However, no past involvement in ML, programming, or cloud innovations is required. The courses do exclude any active specialized preparation. Furthermore, you will be explained what cloud technology is and the top reasons the cloud era is revolutionizing business, and craft an ideal transformation challenge for your organization.

By the end of this specialization, you will be able to identify the components of a security program to build into your transformation journey. In addition to that, you will build a business case and summary page for your overall transformation project using the templates provided.

Magnificent course! I found that it gave an expansive outline on how to consider Cloud in the domain of creating new business techniques. It helped me to build organizational transformation initiatives revolved around Cloud computing (David O, ★★★★★.

From Data to Insights with Google Cloud Platform Specialization

- - Google Cloud Training via Coursera
  - 2 Months (6 hours weekly) of effort required
  - 27,777+ already enrolled!
  - ★★★★★ (2,650 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Good ★★★★☆	Good ★★★★☆	Good ★★★★☆	Fair ★★★☆☆

Want to know how to question and process petabytes of information in short order? Intrusive about information investigation that scales consequently as your data grows? If yes, then welcome to the Data Insights specialization. This four-course quickened online specialization shows course members how to determine experiences through data analysis and perception utilizing the Google Cloud Platform.

The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. Furthermore, during this specialization, you wll cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.

The courses that are part of this specialization have a lot to offer. In the first course, you will learn about the exploration and the preparation of your Data with BigQuery. Moving onto the second course, it will give you a better insight into how new BigQuery Datasets and visualizing insights are created. The last two courses will help you achieve Advanced Insights with BigQuery, and applying Machine Learning to your Data with GCP.

The educator is proficient and energetic about the course content He also clarifies the concepts in a really good and plain manner. It’s truly outstanding and fun online courses I have at any point taken. Extraordinary course! (Tom D, ★★★★★).

Google Cloud Networking Professional Certificate

- - Google Cloud Training via Coursera
  - 2 Months (7 hours weekly) of effort required
  - 6,620+ already enrolled!
  - ★★★★★ (395 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

In this professional Google Cloud certification, you will be acquiring the skills and the knowledge needed to become successful in a cloud network engineering role. Moreover, you will be implementing VPCs, hybrid connectivity, network services, and security for established network architectures on Google Cloud.

There are 4 Courses in this Professional Certificate. The first is about the Core Infrastructure. In this course, you will learn about the important concepts and terminology for working with Google Cloud Platform (GCP). The second course is Networking in Google Cloud: Defining and Implementing Networks, through this course, you will get to know about Google Virtual Private Cloud (VPC) networks, subnets, and firewalls. The course additionally covers access control to networks, sharing organizations, and burden adjusting.

The last two courses are: Hybrid Connectivity and Network Management and Hands-On Labs in Google Cloud for Networking Engineers, respectively. These two courses, cover topics such as networking pricing and billing to help you optimize your network spend and monitoring and logging features that can help you troubleshoot your Google Cloud network infrastructure. In addition to this, you will also be gaining knowledge about the principal theme of cloud computing, and its underlying structure of Google Cloud.

Much thanks to you for this stunning intelligent course. I appreciated each part of the development ideas. I kindly suggest considering expanding the lab tasks’ time a piece so the students can be on less pressing factor (Adriel N, ★★★★★).

Machine Learning with TensorFlow on Google Cloud Platform Specialization

- - Google Cloud Training via Coursera
  - 5 Months (5 hours weekly) of effort required
  - 76,759+ already enrolled!
  - ★★★★★ (7,938 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

What is Machine Learning, and what sorts of issues would it be able to address? What are the five periods of changing over an applicant use case to be driven by machine learning, and for what reason is it significant that the stages not be skipped? For what reason are neural organizations so mainstream now?

In this specialization, figure out how to compose appropriate machine learning models that scale in Tensorflow, scale out the training of those models and offer high-performance predictions. As you proceed into the course, you will learn to convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem.

In addition to this, you will have the skills to incorporate the right mix of parameters that yields accurately. You can be able to generalize models and knowledge of the theory to solve specific types of ML problems. Additionally, you will be allowed to start to finish ML, beginning from building an ML-centered methodology and advancing into model preparing, advancement, and productionalization with involved labs utilizing Google Cloud Platform.

This course shows the best way to create models in TensorFlow what is important to prepare and approve them. After that, you can check your work utilizing the tensor board in a graphical manner. Ultimately you can uncover your ML model utilizing the cloud (Juan P D P, ★★★★★)

Organizational Change and Culture for Adopting Google Cloud Specialization

- - Google Cloud Training via Coursera
  - 3 Months (2 hours weekly) of effort required
  - ★★★★★ (111 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

This specialization is tied in with understanding the organizational adoption of Google Cloud. This arrangement of courses begins with the fundamentals of computerized change and Google Cloud and afterward expands on that information to comprehend the way of life and change the board that associations use to profit from Google Cloud.

Through this course, you will be able to explain what cloud technology is and the top reasons the cloud era is revolutionizing business. Moreover, this course will provide you with the knowledge needed to identify components of a security program to build into your transformation journey.

With the knowledge gained through this specialization, you will be capable enough to assemble a business case. You will also how to rundown page for your general change project utilizing the formats provided. Last but not the least, you will know how to craft an ideal transformation challenge for your organization.

Phenomenal course! I found that it gave an expansive outline of how to consider Cloud in the domain of making new business systems. this course helped me in formulating new authoritative change activities revolved around Cloud registering (David O, ★★★★★).

Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization

- - Google Cloud Training via Coursera
  - 3 Months (5 hours weekly) of effort required
  - 35,159+ already enrolled!
  - ★★★★★ (1,685 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

This 5-course specialization centers around cutting edge machine learning subjects utilizing Google Cloud Platform where you will get active experience upgrading, sending, and scaling creation ML models of different kinds in involved labs.

This specialization gets where “Machine Learning on GCP” left off and shows you how to assemble versatile, exact, and creation prepared models for organized information, picture information, time-arrangement, and regular language text. It closes with a seminar on building proposal frameworks. Topics presented in before courses are referred to in later courses, so it is suggested that you take the courses in precisely this request.

The course content is rich and straightforward. The educators are additionally wonderful and the fast labs are extremely useful to comprehend the ideas in the useful world (Rahul Kumar S, ★★★★★).

Architecting with Google Kubernetes Engine Specialization

- - Google Cloud Training via Coursera
  - 2 Months (12 hours weekly) of effort required
  - 36,653+ already enrolled!
  - ★★★★★ (5,014 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

The Architecting with Google Kubernetes Engine specialization will show you how to actualize arrangements utilizing Google Kubernetes Engine, or GKE, including building, planning, load adjusting, and checking outstanding tasks at hand, just as accommodating disclosure of administrations, overseeing job-based admittance control, and security, and giving tireless stockpiling to these applications.

Moreover, through this series of Google Cloud Certification courses, you will learn a lot about many of the computing and storage services available in Google Cloud Platform. Moreover, you will also explore and learn about Google App Engine, Google Compute Engine, Google Cloud Storage. In addition to all this, you will also know and understand what Google Cloud SQL and Google Kubernetes Engine are.

By the end of these courses, you will know how to build efficient computing infrastructures using Kubernetes and GKE, and you will also develop an understanding related to deploying practical solutions including security and access management, resource management, and resource monitoring.

It’s a decent early on course to the Kubernetes responsibilities ideas. By the end of this course, I was mindful of the different choices and when to utilize what. The labs were acceptable however, they were exceptionally simple, would be better if they somehow incorporate more aspects (Akhil P, ★★★★★).

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Final Thoughts:

So, these were the 15 Free + Best Google Cloud Certification & Training Classes. We hope that you find this article helpful. You can visit other Free University Online Courses here. Stay safe, and never stop learning.

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