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Google Cloud Training
The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge. This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn...
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The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge. 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 a number of hands-on Qwiklabs projects that you can share with potential employers. You'll also have the opportunity to practice key job skills, including case analysis, identifying technical watchpoints, and developing proposed solutions and test your basic abilities with Activity Tracking Challenge Labs. For learners looking to get certified, this program will also provide sample questions similar to those on the exam, including solutions and practice exam quizzes that simulate the exam-taking experience. Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers. If you'd like to earn your Google Cloud certification, you will need to register for and pass the certification exam. Please note that this program helps equip you with the skills you need to take the certification exam, but the certification and certification fee is not included in the cost of this training program.
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What's inside

Six courses

Reliable Google Cloud Infrastructure: Design and Process

(0 hours)
This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses.

Essential Google Cloud Infrastructure: Core Services

(0 hours)
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. 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.

Preparing for your Professional Cloud Architect Journey

(0 hours)
This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the exam's domains and assess their readiness.

Elastic Cloud Infrastructure: Containers and Services

(0 hours)
In this course, learners explore services provided to applications built on GCP that enhance their scalability and maintainability. They work with services like Google Cloud Pub/Sub and Google Cloud Functions to make applications more efficient. They explore the use of containers on GCP.

Essential Google Cloud Infrastructure: Foundation

(0 hours)
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. 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.

Elastic Google Cloud Infrastructure: Scaling and Automation

(0 hours)
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation, and managed services.

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