Google Cloud

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Course Overview

Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. The Google Cloud Training program is designed to accommodate learners at all levels, from beginner to advanced. The courses cover a range of topics, including cloud computing, data management, networking, security, machine learning, and more. Upon completion of the training, users have the option to take certification exams, which test their knowledge and skills in various Google Cloud technologies. These certifications can help individuals and organizations demonstrate their proficiency in Google Cloud, which can be valuable in advancing their careers and gaining a competitive edge. Overall, Google Cloud Training is a comprehensive program that provides learners with the knowledge and skills they need to develop and deploy applications on Google Cloud. Join our Google Cloud online training in Hyderabad to advance your career.

At the end of the training, participants will be able to:

Pre-requisite

  • The prerequisites for Google Cloud Training depend on the specific course or certification you are interested in. However, in general, the following prerequisites are recommended:
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  • Basic Computer Skills: You should have a general understanding of computer fundamentals, such as operating systems, file systems, and basic networking.
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  • Programming Experience: Depending on the course or certification, you may need to have programming experience with languages such as Python, Java, or JavaScript. It is reBasic Computer Skills: You should have a general understanding of computer fundamentals, such as operating systems, file systems, and basic networking.
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  • Programming Experience: Depending on the course or certification, you may need to have programming experience with languages such as Python, Java, or JavaScript. It is recommended to have at least some experience with a programming language.
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  • Familiarity with Cloud Computing Concepts: Basic understanding of cloud computing concepts, such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS), can be helpful.
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  • Understanding of Networking and Security: Knowledge of networking and security fundamentals, such as TCP/IP, DNS, and firewalls, is beneficial for many Google Cloud courses.
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  • Data Analytics Experience: If you are interested in data analytics courses, it is helpful to have experience working with data in tools like SQL, Excel, or other data analysis software.commended to have at least some experience with a programming language.

Duarion

4 days

Course Outline

  1. Introducing Google Cloud Platform
  2. Google Cloud Platform Services
  3. Examples of Using Google Cloud Platform
  4. Interacting with Google Cloud Platform
  5. Getting Started with Projects
  6. Google Compute Engine
  7. Google Container Engine
  8. Google App Engine
  9. Google Cloud Storage
  10. Google Cloud SQL
  11. Google BigQuery
  12. Support and Resources
  • Managing applications at scale
  • Describe the problems that Google addressed to allow them to deploy Google scale applications
  • Explain how using Google Cloud addresses each of the problems faced when designing for distributed scalable applications that are deployed across regions
  • Micro services
  • Security & compliance
  1. Managing applications at scale
  2. Describe the problems that Google addressed to allow them to deploy Google scale applications
  3. Explain how using Google Cloud addresses each of the problems faced when designing for distributed scalable applications that are deployed across regions
  4. Micro services
  5. Security & compliance
  1. Decoupling
  2. Self healing
  3. Testing
  • Migrating applications to Google Cloud Platform
  • Off site disaster recovery and archival with Google Cloud Platform
  • Hybrid architectures and multi cloud deployments
  • Lock in is not an issue using Google Cloud Platform
  1. Cloud Deployment manager
  2. Image processing
  3. Mobile applications
  4. Big Data
  5. Virtual network environments

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