Google Cloud Platform on Coursera: Upskill for In-Demand Cloud Roles

Are you looking to boost your career in cloud computing? Google Cloud Platform on Coursera is a great way to upskill for in-demand cloud roles.

Google Cloud Platform is a popular choice among businesses and organizations, with over 300,000 customers worldwide.

To get started, you can take Coursera's Google Cloud Platform course, which covers the basics of cloud computing and Google Cloud's services. The course is designed to help you gain practical skills and knowledge in cloud computing.

By the end of the course, you'll be able to design, deploy, and manage cloud-based systems and applications.

Coursera offers a wide range of Google Cloud Platform (GCP) courses and training programs to help you learn the skills you need to succeed in the cloud.

You can choose from approximately 4-19 hour time commitment to complete courses, or 2-6 months time commitment to complete specializations.

Some popular training programs include the Professional Certificate in Cloud Digital Leader, which is a foundational level series of four courses designed to give you knowledge about cloud technology and data, and digital transformation.

The Developing applications with Google Cloud Specialization is built for application developers who want to learn how to design, develop, and deploy applications that seamlessly integrate managed services from Google Cloud.

The Machine Learning Engineer Professional Certificate is an intermediate-level training recommended for participants who have data engineering or programming experience, and who want to learn how to apply machine learning in practice.

Here are some of the key skills you can gain from these programs:

Additionally, you can earn a career certificate by completing an accelerated on-demand course that introduces you to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine.

Here are some of the key skills you can gain from this course:

Learning GCP skills can open doors to a wide range of career opportunities, including cloud development positions such as customer engineer, cloud infrastructure developer, and cloud infrastructure architect.

You can find these roles in companies that contract with the Google Cloud Platform or outside of the tech industry in areas like healthcare, manufacturing, retail, government, and more.

With a deeper understanding of GCP, you can grow your career opportunities on a regional, national, or global basis, working for Google or another large networking outfit.

Some of the key skills you'll gain from learning GCP include Load Balancing, Virtual Private Network (VPN), Google Cloud Platform, and Cloud Computing.

Here are some of the skills you'll gain from learning GCP:

To get started with GCP, you can earn a career certificate through accelerated on-demand courses that introduce you to the comprehensive and flexible infrastructure and platform services provided by Google Cloud.

These courses cover deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

You can also explore more related skills, such as Load Balancing, Virtual Private Network (VPN), and Google Cloud Platform, which are all essential skills for a career in cloud development.

To further your education, you can review the Professional Data Engineer exam guide, which will help you identify gaps in your knowledge and skills for each domain and create a study plan.

In partnership with Google Cloud, Coursera is offering no-cost access to some of its most popular cloud training, which can help you hone your skills and stand out in the job market.

You can claim one choice from a variety of popular Google Cloud Projects, Professional Certificates, Specializations, and courses, which are available to claim until December 31st, 2022.

These training options include Projects, which require approximately 30-90 minutes to complete, and Professional Certificates, which require approximately 1-9 months to complete.

GCP Infrastructure and Management is a crucial aspect of the Google Cloud Platform. You can learn about it through Coursera courses such as Essential Google Cloud Infrastructure: Foundation and Essential Google Cloud Infrastructure: Core Services.

These courses cover the basics of interacting with the Google Cloud console and Cloud Shell, deploying solutions using Google Cloud Marketplace, and implementing VPC networks and firewall rules. You'll also learn about administering Identity and Access Management for resources, implementing data storage services, and managing billing.

Here are some specific topics covered in these courses:

By learning these topics, you'll be well on your way to managing your GCP infrastructure effectively.

Identity and Access Management (IAM) is a crucial aspect of securing your Google Cloud Platform (GCP) resources. You can administer IAM for resources through a series of modules and labs.

The IAM module is divided into several sections, including Identity and Access Management, Organization, Roles, and Service Accounts. Each section provides a detailed explanation of the topic, with some sections taking longer than others to complete.

For example, the Members section takes 9 minutes to complete, while the Organization Restrictions section takes only 1 minute. The IAM Best Practices section is a quick 2 minutes, but it's essential to understand the best practices for implementing IAM in your GCP environment.

Here are the estimated completion times for each section:

After completing the modules, you'll have the opportunity to put your knowledge into practice with a lab exercise. The Exploring IAM lab takes 60 minutes to complete and allows you to gain hands-on experience with IAM in a real-world scenario.

To interact with Google Cloud, you need to be familiar with the Google Cloud console and Cloud Shell.

You can deploy solutions using Google Cloud Marketplace, which is a great way to get started with Google Cloud.

To implement VPC networks and firewall rules, you need to understand the basics of networking in Google Cloud.

Creating and customizing VM instances using Compute Engine is a fundamental skill for any Google Cloud user.

Here are some key infrastructure skills to get you started:

In addition to these skills, you'll also want to learn about administering Identity and Access Management for resources, implementing data storage services, managing billing, and monitoring resources using Google Cloud's operations suite.

These skills will give you a solid foundation for managing your Google Cloud infrastructure.

Resource Management is a crucial aspect of Google Cloud Platform (GCP) infrastructure and management. It involves managing and examining billing of Google Cloud resources, which is essential for cost optimization and resource allocation.

You can find resources to help you with this in the "Resource Management" module, which includes a demo on billing administration and a lab review on examining billing data with BigQuery. The module takes around 21 minutes to complete, including the quiz and course resources sections.

To get started, you can begin with the "Module Overview" section, which provides a preview of the module's content. The "Resource Manager" section is a key component of the module, and it takes around 3 minutes to complete.

Here's a brief overview of the key components of the "Resource Management" module:

The "Resource Management" module also includes a quiz that takes around 10 minutes to complete, and a course resources section that takes around 10 minutes to complete.

Resource monitoring is a crucial aspect of managing your Google Cloud Platform (GCP) infrastructure. It helps you keep track of your resources and identify potential issues before they become major problems.

You can use Google Cloud's operations suite to monitor your resources, which provides a comprehensive view of your infrastructure. This suite includes features like monitoring, logging, error reporting, tracing, profiling, and partner integrations.

Monitoring is a key component of the operations suite, taking up 7 minutes of the module overview. It allows you to track your resource usage, performance, and availability in real-time.

Here's a breakdown of the monitoring features:

The lab for resource monitoring takes 60 minutes to complete, providing hands-on experience with the features and tools.

Building batch data pipelines on Google Cloud requires careful consideration of data loading methods. EL, ELT, and ETL are three common approaches, each with its own use case.

For EL (Extract-Load), you're essentially moving data from one system to another without transformation. This is ideal for situations where data is already in a usable format.

ELT (Extract-Load-Transform) is a more common approach, where data is loaded into a new system and then transformed into the desired format. This is useful when dealing with complex data transformations.

ETL (Extract-Transform-Load) is the most traditional approach, where data is first extracted, then transformed, and finally loaded into a new system. This is often used when working with legacy systems.

To run Hadoop on Dataproc, you'll need to leverage Cloud Storage for data storage and optimization. This can help streamline your data processing pipelines.

Dataflow is a great tool for building data processing pipelines, allowing you to process large datasets in a scalable and efficient manner.

Managing data pipelines with Data Fusion and Cloud Composer can help you automate and orchestrate your data workflows. This can save you time and reduce errors.