Best Google Cloud Courses You Must Know in 2025

Cloud computing is an important skill today, and Google Cloud is one of the best platforms to learn. It has powerful tools for both businesses and individuals. If you are new to this or want to improve your skills, learning Google Cloud can help you a lot. I’ve found 5 Best Google Cloud Courses that will teach you step by step. These courses cover cloud basics, security, DevOps, and machine learning.

So, without any further ado, let’s get started and see the Best Google Cloud Courses-

Best Google Cloud Courses

Why Learn Google Cloud?

Google Cloud Platform (GCP) is one of the biggest cloud providers, alongside AWS and Microsoft Azure. This is why learning Google Cloud is a smart move:

• More Job Opportunities – Many companies use Google Cloud and need skilled professionals.
• Better Salaries – Cloud engineers, data engineers, and DevOps experts earn good money.
• Learn by Doing – Google Cloud offers real-world projects to help you practice what you learn.
• Strong Community Support – You’ll find tons of help through forums, online groups, and Google’s own resources.

Let’s take a look at the Best Google Cloud Courses to help you get started with Google Cloud!

1. Google Cloud Database Engineer Specialization

Course Overview

• Duration: 1 month (if you dedicate 10 hours per week)
• Level: Intermediate (requires some prior experience)
• Flexible Schedule: Learn at your own pace
• Total Courses: 13 courses
• Rating: 4.7/5 (based on 333 reviews)

You’ll cover various topics including database management, Google Cloud databases, migration techniques, security, and how to use Google Cloud tools like Cloud SQL, Cloud Spanner, and Bigtable. The program includes hands-on labs and real-world applications, giving you the chance to work with the actual tools used by cloud database engineers.

What You’ll Learn

The courses in this specialization teach you the following skills:

• Cloud Database Management: Learn how to plan, execute, and monitor database migrations to Google Cloud.
• Hands-on with Google Cloud: You’ll get practical experience with Cloud SQL, Cloud Spanner, and Bigtable.
• Database Migration: Understand how to migrate MySQL, PostgreSQL, and other databases to Google Cloud.
• Security & Monitoring: Learn how to secure databases and monitor their performance.
• Real-World Applications: Gain the ability to deploy applications and manage data using Google Cloud technologies.

Key Features

• Practical Learning: The program includes labs using Qwiklabs, giving you real-world practice.
• Certification Preparation: It prepares you for the Professional Cloud Database Engineer certification exam.
• Wide Range of Topics: From setting up Cloud SQL to managing Cloud Spanner databases, you’ll cover everything that’s essential for a cloud database engineer role.

The Courses You’ll Take

1. Google Cloud Fundamentals: Core Infrastructure: Learn the basics of Google Cloud, including storage options and infrastructure.
2. Cloud SQL for MySQL: Discover how to create and manage MySQL databases on Google Cloud.
3. Migrating to Cloud SQL: Learn how to migrate databases from Amazon RDS to Google Cloud.
4. Securing Cloud SQL: Understand how to secure your Cloud SQL instances and enable replication.
5. Cloud Spanner: Explore how to load data, define schemas, and perform backups in Cloud Spanner.

Pros of the Program

• Hands-On Learning: The labs and practical exercises will help you gain experience using Google Cloud, which is valuable when looking for a job.
• Comprehensive: Covers a wide variety of topics from database creation to security and migration, ensuring you have a solid foundation as a cloud database engineer.
• Well-Structured: The courses are logically arranged, starting with fundamentals and progressing to more complex topics.

Cons of the Program

• Intermediate Level: The program is not beginner-friendly. It’s recommended that you have prior experience in cloud computing or databases before starting.
• Time-Intensive: At 10 hours per week, the course might be a bit demanding if you have a busy schedule.
• Google Cloud Focus: While it’s great if you want to work with Google Cloud, it might not be as useful if you want to learn about other cloud platforms (like AWS or Azure).

Final Thoughts

Overall, if you’re looking to specialize in Google Cloud and database engineering, this program provides a structured and practical approach to learning. It’s particularly valuable if you want to pursue a career as a Cloud Database Engineer and are ready to commit to an intermediate-level program.

But, if you’re just starting with cloud computing or databases, you may want to brush up on basic concepts first.

This program also prepares you for certification, which can be a huge boost to your resume and career prospects. However, remember that it’s time-consuming, so make sure you have the commitment and prior knowledge to dive into it.

I hope this breakdown helps you decide whether this specialization is the right fit for you!

2. Networking in Google Cloud Specialization

Course Overview

• Duration: 1 month (if you dedicate 10 hours per week)
• Level: Intermediate (some related experience required)
• Flexible Schedule: Learn at your own pace
• Total Courses: 3 courses
• Rating: 4.8/5 (based on 4,487 reviews)

This specialization covers everything you need to know about Google Cloud networking. You’ll explore key topics like Virtual Private Cloud (VPC) networks, subnets, firewalls, load balancing, Cloud DNS, Cloud CDN, and more. Plus, you’ll learn how to automate network deployment using Google Cloud’s Deployment Manager.

What You’ll Learn

By the end of this specialization, you’ll have a solid understanding of:

• Google Cloud Networking: How to set up and manage VPC networks, configure subnets, firewalls, and interconnect networks.
• Network Design: Best practices for designing scalable, secure, and efficient networks in the cloud.
• Automated Deployment: How to automate network setups using Google Cloud’s Deployment Manager.
• Cloud Networking Tools: Using tools like Network Intelligence Center, Cloud Logging, and Cloud Monitoring to troubleshoot network issues.

The Courses You’ll Take

1. Google Cloud Fundamentals: Core Infrastructure

• Duration: 5 hours
• What You’ll Learn: This introductory course covers the basics of Google Cloud, how infrastructure is organized, and how to create and manage your cloud resources. You’ll also get familiar with Google Cloud storage options.
• Skills Gained: Google Cloud products and services, basic infrastructure setup, and cloud storage options.

2. Networking in Google Cloud: Fundamentals

• Duration: 5 hours
• What You’ll Learn: This course introduces you to VPC networks, how to connect multiple VPCs, and how to use tools for troubleshooting network issues. You’ll also learn about the Standard and Premium Network Service Tiers and how to choose the best one for your needs.
• Skills Gained: Networking concepts, connecting VPC networks, troubleshooting with Network Intelligence Center, Cloud Logging, and Cloud Monitoring.

3. Networking in Google Cloud: Routing and Addressing

• Duration: 3 hours
• What You’ll Learn: This course covers the configuration of connectivity to Google Cloud VPCs and private connections to external resources. You’ll also learn how to choose the right Network Service Tier and use monitoring tools to troubleshoot network issues.
• Skills Gained: Configuring VPC connectivity, private connections, monitoring, and troubleshooting networks.

Pros of the Program

• Hands-On Learning: The course includes practical labs using Qwiklabs, so you can apply what you learn in real-world scenarios.
• Comprehensive Coverage: It covers all the core aspects of networking on Google Cloud, from setting up VPC networks to troubleshooting and monitoring.
• Flexible Schedule: You can learn at your own pace, making it easy to balance with other commitments.
• High Rating: With a rating of 4.8/5, the course is well-reviewed by students who have taken it.

Cons of the Program

• Intermediate Level: If you’re a complete beginner to networking or Google Cloud, this course might be a bit challenging. It’s recommended that you have prior knowledge of the OSI model, IPv4 addressing, and managing routes.
• Time Commitment: At 10 hours a week, the program might require a solid time investment, so be prepared to dedicate time to complete the courses.

Final Thoughts

If you’re a Network Engineer, Admin, or anyone interested in learning cloud-based networking, this specialization is definitely worth considering. It’s a great way to gain in-depth knowledge of Google Cloud’s networking tools and prepare yourself for real-world networking tasks.

By the end of this program, you’ll be equipped to manage cloud networks, troubleshoot issues, and deploy networks using automated processes.

If you’re ready to take your networking skills to the next level with Google Cloud, this specialization is a great opportunity to gain practical, hands-on experience.

I hope this overview helps you decide if this course is the right fit for you!

3. Digital Transformation Using AI/ML with Google Cloud Specialization

Course Overview

• Duration: 1 month (if you dedicate 10 hours per week)
• Level: Beginner (no prior experience required)
• Flexible Schedule: Learn at your own pace
• Total Courses: 3 courses
• Rating: 4.7/5 (based on 515 reviews)

This specialization is designed to introduce the fundamentals of how AI and ML are used in the cloud to transform business models. While you won’t need any technical experience, the program offers a comprehensive understanding of the key concepts that power digital transformation in businesses.

What You’ll Learn

By the end of this specialization, you’ll have a solid understanding of:

• Cloud Technologies for Business: How cloud technologies, AI, and ML are revolutionizing business models.
• Cloud Computing Models: Understand the differences between IaaS, PaaS, and SaaS and how each is used in cloud-based businesses.
• Machine Learning Project Management: How businesses apply machine learning and how to manage machine learning projects.
• Digital Transformation Strategies: The role of cloud modernization, migration, and strategies like hybrid and multi-cloud in driving digital transformation.

The Courses You’ll Take

1. Digital Transformation with Google Cloud

• Duration: 2 hours
• What You’ll Learn: This course introduces the core concepts of the cloud and explains how the cloud is revolutionizing businesses. You’ll dive into the benefits and tradeoffs of using IaaS, PaaS, and SaaS to modernize business infrastructure and applications.
• Skills Gained: Cloud revolution, cloud models (IaaS, PaaS, SaaS), and cloud’s role in business transformation.

2. Modernize Infrastructure and Applications with Google Cloud

• Duration: 1 hour
• What You’ll Learn: This course focuses on cloud migration and modernization, covering compute workloads, containers, serverless computing, and hybrid/multi-cloud strategies. You’ll explore why businesses need to modernize infrastructure and how to use Google Cloud to do so.
• Skills Gained: Cloud migration, containers, serverless computing, APIs, and multi-cloud strategies.

3. Managing Machine Learning Projects with Google Cloud

• Duration: 13 hours
• What You’ll Learn: The final course gives you an overview of common ML use cases implemented by businesses. You’ll learn how to assess the feasibility of an ML project, identify key requirements, and understand the data characteristics that affect model performance.
• Skills Gained: ML project management, building and training ML models, understanding data biases, and assessing ML feasibility.

Pros of the Program

• Beginner-Friendly: This course requires no prior experience with AI, ML, or cloud technologies, making it accessible for everyone.
• Comprehensive Content: It covers everything from understanding basic cloud concepts to exploring machine learning applications in business.
• Practical Insights: You’ll gain insights into real-world use cases of AI and ML that are transforming businesses globally.
• High Rating: The specialization has a strong rating (4.7/5), reflecting the value it offers to learners.

Cons of the Program

• No Hands-On Training: While the course offers valuable theoretical knowledge, there are no hands-on technical exercises. If you’re looking for a more practical, code-focused experience, this might not be the best fit.
• Time Commitment: The final course has a longer duration (13 hours), so you’ll need to dedicate more time to complete it.

Final Thoughts

If you’re looking to understand how AI and ML are transforming the way businesses operate and want to dive into the world of digital transformation using Google Cloud, this specialization is a great fit. Whether you’re a business professional or simply curious about the cloud and AI, this course will help you grasp the big picture of how these technologies are changing industries.

By the end of this program, you’ll have the foundational knowledge to engage with AI and ML in a business context and gain insights into how companies use these technologies to stay competitive.

I hope this helps you decide if the specialization is right for you!

4. Google Cloud Infrastructure for AWS Professionals Specialization

Course Overview

• Duration: 1 month (if you dedicate 10 hours per week)
• Level: Intermediate (Recommended experience with AWS)
• Flexible Schedule: Learn at your own pace
• Total Courses: 4 courses
• Rating: 4.8/5 (based on 12 reviews)

This specialization provides an in-depth comparison between AWS and Google Cloud, guiding professionals in understanding key similarities and differences. You’ll get the opportunity to apply your existing AWS knowledge, explore Google Cloud’s services, and even dive into hands-on labs to practice what you’ve learned.

What You’ll Learn

• Apply Existing AWS Knowledge: Use your AWS skills to get started with Google Cloud.
• Best Practices: Learn best practices for Google Cloud services such as IAM, compute, storage, and containers.
• Hands-On Practice: Gain practical experience using Google Cloud services through labs and applied learning projects.
• Comparison of AWS and Google Cloud: Understand the differences between AWS and Google Cloud technologies.

The Courses You’ll Take

1. Google Cloud IAM and Networking for AWS Professionals

• Duration: 3 hours
• What You’ll Learn: This course helps you understand the differences between AWS and Google Cloud’s resource hierarchy. You’ll learn about organizations, folders, and projects in Google Cloud and compare them to AWS’s resource structure. You’ll also explore how Google Cloud’s service accounts differ from AWS’s.
• Skills Gained: Google Cloud IAM, resource hierarchy, best practices for Google Cloud’s structure.

2. Google Cloud Compute and Scalability for AWS Professionals

• Duration: 3 hours
• What You’ll Learn: Learn how to create and configure Compute Engine instances in Google Cloud, and compare them to AWS instances. This course also covers load balancing, managed instance groups (MIGs), and how Google Cloud handles scalability.
• Skills Gained: Compute Engine configuration, Cloud Load Balancing, managed instance groups, scalability in Google Cloud.

3. Google Cloud Storage and Containers for AWS Professionals

• Duration: 5 hours
• What You’ll Learn: Explore Google Cloud’s storage and container solutions. You’ll learn how to create and configure Cloud SQL and Cloud Storage, and compare them with AWS storage options. The course also covers Kubernetes, where you’ll learn how Google Kubernetes Engine (GKE) differs from AWS Elastic Kubernetes Service (EKS).
• Skills Gained: Cloud SQL, Cloud Storage, Kubernetes, GKE, data lakes, and databases in Google Cloud.

4. Deploy and Monitor in Google Cloud for AWS Professionals

• Duration: 2 hours
• What You’ll Learn: In this final course, you’ll get to explore deployment and monitoring tools in Google Cloud. You’ll learn about Cloud Source Repositories, Cloud Functions, and how to create charts, alerts, and uptime checks with Cloud Monitoring. You’ll also compare Cloud Monitoring with AWS CloudWatch and explore how Cloud Run differs from AWS Fargate.
• Skills Gained: Cloud deployment, monitoring, Cloud Source Repositories, Cloud Functions, Cloud Monitoring, Cloud Run vs. AWS Fargate.

Pros of the Program

• Intermediate Level: If you’re already familiar with AWS, this program is an easy way to quickly ramp up your Google Cloud skills.
• Hands-On Labs: Practical experience through Qwiklabs gives you real-world exposure to Google Cloud tools.
• Deep Comparison: The program focuses on comparing AWS and Google Cloud, making it perfect for those who want to understand both ecosystems.
• Flexible Schedule: Learn at your own pace, with the option to adjust your study plan according to your schedule.

Cons of the Program

• AWS Experience Required: The program is designed for professionals with existing AWS knowledge, so it may not be suitable for complete beginners in cloud computing.
• Intensive: Although it’s a fast-track program, some parts of the course may require focused attention to master the concepts.

Final Thoughts

If you’re looking to transition from AWS to Google Cloud and want a focused, hands-on approach, this specialization is a great choice. It’s designed for cloud professionals who already have AWS experience and are looking to leverage that knowledge to work with Google Cloud services.

By the end of this program, you’ll be well-versed in Google Cloud’s IAM, compute, storage, and monitoring tools, and you’ll understand how to deploy, manage, and scale cloud resources using Google Cloud.

With real-world labs and a detailed comparison between AWS and Google Cloud, this program provides everything you need to make the move confidently.

5. Security in Google Cloud Specialization

Course Overview

• Duration: 1 month (if you dedicate 10 hours per week)
• Level: Intermediate (Recommended experience with cloud security)
• Flexible Schedule: Learn at your own pace
• Total Courses: 4 courses
• Rating: 4.7/5 (based on 3,934 reviews)

The specialization covers a broad range of security topics, including identity and access management (IAM), security best practices, monitoring, and vulnerability management. You’ll gain hands-on experience with Google Cloud’s security tools and techniques through applied learning projects and Qwiklabs labs.

What You’ll Learn

• Google Cloud Security Foundations: Understand Google’s approach to security and the fundamental tools available to protect resources in the cloud.
• Identity and Access Management: Learn how to manage administrative identities using Cloud Identity and implement least-privilege access controls.
• Traffic Control and Protection: Implement IP traffic controls using VPC firewalls and Cloud Armor to safeguard your infrastructure.
• Vulnerability Remediation: Discover how to identify and mitigate vulnerabilities, especially concerning public access to data and virtual machines (VMs).
• Security Best Practices: Apply techniques to secure Compute Engine, cloud data, applications, and Kubernetes resources.

The Courses You’ll Take

1. Google Cloud Fundamentals: Core Infrastructure

• Duration: 5 hours
• What You’ll Learn: This introductory course will help you understand the core infrastructure of Google Cloud. You’ll learn how to organize and control infrastructure in Google Cloud, as well as how to create basic infrastructures and select appropriate storage options.
• Skills Gained: Google Cloud product overview, infrastructure organization, Cloud storage options.

2. Managing Security in Google Cloud

• Duration: 7 hours
• What You’ll Learn: This course dives into the foundations of Google Cloud security. You’ll learn how to manage administrative identities, implement user administration with IAM, and configure Virtual Private Clouds (VPCs) for enhanced security.
• Skills Gained: IAM, VPC security, Google Cloud administration.

3. Security Best Practices in Google Cloud

• Duration: 11 hours
• What You’ll Learn: Learn advanced techniques for securing Google Cloud resources. You’ll explore how to secure Compute Engine instances, protect cloud data, secure applications, and manage Google Kubernetes Engine (GKE) resources.
• Skills Gained: Cloud data security, application security, securing GKE, best practices for cloud security.

4. Mitigating Security Vulnerabilities on Google Cloud

• Duration: 6 hours
• What You’ll Learn: In this course, you’ll focus on mitigating security vulnerabilities, including Distributed Denial of Service (DDoS) attacks and content-related threats. You’ll also learn how to implement Google Cloud’s monitoring, logging, and auditing solutions to continuously protect your resources.
• Skills Gained: DDoS protection, content vulnerability management, Google Cloud monitoring and logging.

Pros of the Program

• Comprehensive Curriculum: The program covers a wide array of security topics, from identity management to monitoring and vulnerability remediation.
• Hands-On Labs: The Qwiklabs platform provides practical experience, allowing you to apply your knowledge in real-world scenarios.
• In-Depth Learning: Each course builds on the previous one, ensuring that you develop a thorough understanding of Google Cloud security.
• Flexible Learning: Learn at your own pace and on your schedule, which makes it easier to balance with other commitments.

Cons of the Program

• Intermediate Level: While the program is accessible, it’s recommended to have some prior knowledge of cloud security concepts before diving in.
• Time-Intensive: The courses require a significant time investment, particularly the in-depth security best practices course.

Final Thoughts

If you’re looking to strengthen your Google Cloud security expertise, this specialization is an excellent choice. With its combination of theory and hands-on experience, you’ll walk away with a deep understanding of how to secure Google Cloud resources against a variety of threats. From managing identities and traffic control to applying best practices for cloud security, you’ll gain the skills needed to safeguard any Google Cloud-based infrastructure.

By the end of this program, you’ll be equipped with the knowledge and skills to implement robust security measures and tackle vulnerabilities in your Google Cloud environment.

So, these are the 5 Best Google Cloud Courses. Now, it’s time to wrap up.

Conclusion

If you want to boost your cloud computing skills, enroll in one of these Best Google Cloud Courses. They provide hands-on training, real-world projects, and expert guidance to help you master Google Cloud.

These Best Google Cloud Courses also prepare you for industry-recognized certifications, giving you a competitive edge in the job market. You’ll gain practical experience and the confidence to apply Google Cloud solutions in real-world scenarios.

By choosing one of these Best Google Cloud Courses, you actively invest in your future. Companies are constantly looking for professionals with Google Cloud expertise, and these courses can help you land high-paying roles.

Start your journey today with one of these Best Google Cloud Courses, and take a big step toward becoming a cloud computing expert!

Happy Learning!

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Though of the Day…

‘ It’s what you learn after you know it all that counts.’

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