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.

Take FREE Quiz Now: Google Cloud Fundamentals

1. 1. Infrastructure and Application Modernization with Google Cloud
   2. Google Cloud Security Professional Certificate
   3. Cloud Architecture with Google Cloud Professional Certificate
   4. Cloud Engineering with Google Cloud Professional Certificate
   5. Data Engineering with Google Cloud Professional Certificate
   6. Developing Applications with Google Cloud Platform Specialization
   7. SRE and DevOps Engineer with Google Cloud Professional Certificate
   8. Data Engineering, Big Data, and Machine Learning on GCP Specialization
   9. Digital Transformation Using AI/ML with Google Cloud Specialization
   10. From Data to Insights with Google Cloud Platform Specialization
   11. Machine Learning with TensorFlow on Google Cloud Platform Specialization
   12. Google Cloud Networking Professional Certificate
   13. Organizational Change and Culture for Adopting Google Cloud Specialization
   14. Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization
   15. Architecting with Google Kubernetes Engine Specialization

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:

Infrastructure and Application Modernization with Google Cloud

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

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.

Google Cloud Security Professional Certificate

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

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.

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)

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.

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)

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.

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)

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.

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)

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.

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)

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.

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)

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.

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)

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.

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)

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.

Google Cloud Networking Professional Certificate

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

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.

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)

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.

Organizational Change and Culture for Adopting Google Cloud Specialization

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

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.

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)

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)

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.

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.

Take FREE Quiz Now: Google Cloud Fundamentals