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Understanding Cloud Computing

Broadly explore cloud computing concepts to give a fundamental comprehension of the industry, it's defining aspects, and the many professional roles within it.

4.9

808 reviews on
719 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:

1 hour
  • Lessons (1 hour)

CPE credits:

2.5
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

  • Explore the history and evolution of cloud computing.
  • Understand key cloud computing concepts and definitions.
  • Learn about different cloud deployment methods.
  • Identify primary and specialist cloud service providers.
  • Discover cloud computing roles.

Topics & tools

theorycloud computingamazon web servicesmicrosoft azureGCPcareer development

Your instructor

Course OVERVIEW

Description

CPE Credits: 2.5 Field of Study: Information Technology
Delivery Method: QAS Self Study

This course provides a comprehensive introduction to cloud computing, exploring its history, fundamental concepts, key service types, and real-world applications. We'll delve into the various types of cloud computing models, the huge variety of cloud computing services and the different career paths within the industry. You'll gain insights into the many benefits & some tradeoffs with cloud adoption such as scalability, cost-effectiveness, and enhanced organisational agility.

Through interactive lectures, videos, and real-world case studies you'll develop a solid understanding of cloud computing principles and their practical implications. By the end of this course, you'll be equipped with the knowledge and confidence to evaluate cloud solutions for your own needs or contribute effectively to cloud-based projects within your organization.

Who should take this course:

  •     IT professionals looking to expand their knowledge of cloud computing.
  •     Business professionals seeking to understand the various aspects of cloud technologies to consider.
  •     Students pursuing careers in IT or cloud computing.
  •     Anyone curious about the transformative power of cloud computing.

Learning Objectives:

  • Define cloud computing and its key characteristics.
  • Understand the different cloud computing models (IaaS, PaaS, SaaS).
  • Explore the history, benefits and challenges of cloud adoption.
  • Gain an understanding of the different general cloud providers and the more specialist providers.
  • Learn about core cloud services, including compute, storage, networking, databases, and security. Explore specialist services that differ between providers
  • Analyze real-world cloud computing case studies.
  • Learn to effectively participate in discussions that evaluate potential cloud solutions.

Prerequisites

  • Basic Understanding of Computing
  • General Interest in Cloud Computing
  • Enthusiam for Learning

Advanced preparation

  • None

Free preview

Welcome!

1.1 Welcome!

1 min

What to Expect

1.2 What to Expect

2 min

Basic Terms of Cloud Computing

1.3 Basic Terms of Cloud Computing

3 min

History of Cloud Computing

2.1 History of Cloud Computing

5 min

Where Cloud Computing Stands Today

2.2 Where Cloud Computing Stands Today

3 min

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4.9

Based on 808 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

$29,000

average salary increase

after moving to an AI and data science career

9 in 10

of our graduates landed a new AI & data job

after enrollment

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
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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.