Online Course
Intro to Google Cloud

Get ready to explore Google Cloud! This course is designed to take you from cloud curious to Google Cloud confident in just a couple of hours.

4.9

808 reviews on
177 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

3 hours
  • Lessons (3 hours)

CPE credits:

4.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Understand core cloud concepts and Google Cloud’s role in today’s landscape.
  • Set up and manage Google Cloud environments (accounts, projects, resources).
  • Deploy virtual machines, query data with BigQuery, and use GenAI tools.
  • Monitor usage, control costs, and assess Google Cloud’s fit for your needs.
  • Build a foundation for continued cloud learning and specialization.

Topics & tools

GCPgcpcloud fundamentalsvirtual machinesbig dataaigenaicloud billingcloud computingtheory

Your instructor

Course OVERVIEW

Description

CPE Credits: 4.5 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study

Whether you are looking to enhance your technical skills, support business innovation, or simply understand what makes Google Cloud a leading platform in today's digital landscape—this course is designed for you.

You'll experience hands-on learning with real-world demos that mirror actual business scenarios, giving you practical skills you can apply immediately. From setting up your first project to implementing managed AI solutions, we'll guide you every step of the way with clear explanations and interactive challenges.

By the end of this course, you'll navigate Google Cloud with confidence, make informed service selections, and implement best practices for performance and cost. Ready to unlock the power of cloud computing? Let's begin your Google Cloud journey together!

Prerequisites

  • Web browser (access to cloud.google.com and a free Google Cloud account)

Advanced preparation

Curriculum

29 lessons 27 exercises 1 exam

Free preview

Intro to your Google Cloud learning journey

1.1 Intro to your Google Cloud learning journey

5 min

Setting the scene...🎥

2.1 Setting the scene...🎥

1 min

What is the cloud about?

2.2 What is the cloud about?

7 min

Cloud offerings: Choose what you need

2.4 Cloud offerings: Choose what you need

5 min

Is it Google Cloud or GCP?

2.6 Is it Google Cloud or GCP?

1 min

How does Google Cloud work?

2.7 How does Google Cloud work?

6 min

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ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-Study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.