Cloud Computing Essentials: Core Concepts and Service Models
Learn fundamental cloud computing concepts, deployment models, and service architectures for data analytics.
Learn fundamental cloud computing concepts, deployment models, and service architectures for data analytics.
This comprehensive course introduces the essential concepts and principles of cloud computing as part of the Key Technologies in Data Analytics Specialization. Students explore core concepts including shared infrastructure, on-demand access, scalable services, and consumption-based pricing. The curriculum covers major deployment models (public, private, hybrid, community) and service models (SaaS, PaaS, IaaS). Through hands-on exercises, learners configure cloud accounts and gain practical experience with cloud computing technologies.
3.9
(27 ratings)
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Instructors:
English
21 languages available
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What you'll learn
Understand core cloud computing concepts and shared infrastructure
Master different cloud deployment models and their applications
Learn about SaaS, PaaS, and IaaS service models
Gain practical experience with cloud account configuration
Explore scalable services and consumption-based pricing
Skills you'll gain
This course includes:
24 Minutes PreRecorded video
15 assignments, 24 discussion prompts
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course explores the foundational concepts of cloud computing with a focus on data analytics applications. The curriculum covers three main areas: core concepts including shared infrastructure and scalability, deployment models encompassing public, private, hybrid, and community clouds, and service models including SaaS, PaaS, and IaaS. Students gain practical experience through hands-on configuration exercises and real-world scenarios.
Core Concepts
Module 1 · 5 Hours to complete
Deployment Models
Module 2 · 4 Hours to complete
Service Models
Module 3 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Instructor
Erik Herman is a self-professed data nerd with an English degree. He is a CompTIA CTT+ certified trainer, Modern Classroom Certified Trainer (MCCT), IBM business and financial analytics certified data analyst, instructional designer, e-learning.
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3.9 course rating
27 ratings
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