Google Cloud Product Fundamentals

Overview Begin your journey with the Google Cloud Product Fundamentals course, designed to provide a understanding of the Google Cloud …

Google Cloud Product Fundamentals

Google Cloud Product Fundamentals

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Google Cloud Product Fundamentals Overview

Begin your journey with the Google Cloud Product Fundamentals course, designed to provide a understanding of the Google Cloud Platform (GCP). This engaging and structured program spans 21 units, covering the basics of GCP and advanced topics like machine learning and big data. Whether you’re deploying your first virtual machine, managing security, or utilising big data tools, this course prepares you for real-world cloud challenges.

Learning Outcomes

  • Understand the fundamental concepts of Google Cloud Platform.
  • Navigate and manage GCP projects effectively.
  • Implement robust security measures within GCP.
  • Manage Identity and Access Management (IAM) for secure access.
  • Utilise the GCP Marketplace to find and deploy solutions.
  • Configure and manage network settings in GCP.
  • Operate and manage virtual machines.
  • Handle storage solutions with an overview of GCP storage options.
  • Deploy containers and manage Kubernetes environments.
  • Apply machine learning and big data tools within GCP projects.

Who Is This Course For

This course is ideal for IT professionals, cloud specialists, and system administrators looking to enhance their expertise in cloud technologies, specifically Google Cloud Platform. It suits individuals seeking to deepen their knowledge of cloud infrastructure and applications, making it perfect for those aiming to advance their careers in cloud services and solutions.

Eligibility Requirements

Ideal candidates should possess a basic understanding of IT infrastructure and operations. They must also be familiar with fundamental cloud concepts and motivated to delve into the technical aspects of Google Cloud Platform. This course is tailored for those who aim to boost their technical skills and excel in cloud-based environments.

Entry Requirements

  • Age Requirement: Applicants must be 16 or older, making the course accessible to both young learners and adults.
  • Academic Background: No prior qualifications required, open to all backgrounds.
  • Language Proficiency: A good understanding of English is essential, as all lessons are in English.
  • Numeracy Skills: Basic writing and numeracy skills are needed to follow the course content.

Why Choose Us

  • Affordable, engaging & high-quality e-learning study materials;
  • Tutorial videos/materials from the industry-leading experts;
  • Study in a user-friendly, advanced online learning platform;
  • Efficient exam systems for the assessment and instant result;
  • The UK & internationally recognised accredited
  • Access to course content on mobile, tablet or desktop from anywhere, anytime;
  • The benefit of career advancement opportunities;
  • 24/7 student support via email.

Career Path

Pursuing this course will open doors to a variety of career opportunities in the cloud computing field. Graduates can look forward to roles such as Cloud Architect, DevOps Engineer, or System Administrator, where they will apply their skills to design, manage, and optimise cloud solutions. This course equips you with the knowledge needed to thrive in dynamic tech environments, significantly boosting your employability in the burgeoning cloud industry.

Course Curriculum

Google Cloud for Beginners
Unit 01: What is Google GCP part 1 00:16:00
Unit 02: What is Google GCP part 2 00:07:00
Unit 03: Security with GCP 00:05:00
Unit 04: GCP Project 00:08:00
Unit 05: IAM and how to access GCP part 1 00:04:00
Unit 06: IAM and how to access GCP part 2 00:05:00
Unit 07: The marketplace 00:10:00
Unit 08: GCP Network 00:06:00
Unit 09: GCP Compute 00:03:00
Unit 10: Create your first Virtual Machine 00:12:00
Unit 11: Storage with GCP Overview part 1 00:09:00
Unit 12: Storage with GCP Overview part 2 00:04:00
Unit 13: Create a bucket 00:07:00
Unit 14: Containers and Kubernetes 00:08:00
Unit 15: Create a Cluster 00:11:00
Unit 16: App engine 00:08:00
Unit 17: Build your app engine 00:10:00
Unit 18: How to manage deployment 00:02:00
Unit 19: LAB automation deployment and Monitoring 00:20:00
Unit 20: Big data in GCP and machine learning overview 00:07:00
Unit 21: LAB Big query 00:08:00
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