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Enroll in Cloud Computing Course โ AWS, Azure, Google Cloud & Virtualization!
14,500+ students enrolled | Certificate + Internship available
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Cloud Computing
AWS
Virtualization
112 Lessons
Cloud Computing
Course Online โ
AWS, Azure & Google Cloud
Master Cloud Computing from fundamentals to advanced applications with EasyShiksha's most comprehensive cloud course. 112 lessons spanning AWS, Azure, Google Cloud, virtualization, distributed systems, MapReduce, and resource scheduling โ globally recognized certificate included.
Beginner to advanced โ no prior cloud experience needed
AWS, Azure & Google Cloud all covered
Virtualization, distributed systems & MapReduce
Internship certificate available
EC2 Instance Launched!Priya's AWS cluster is live
Cloud Platforms & Topics Covered
112Lessons
3Cloud Platforms
4.8โ
Rating
โAccess
AWS
Amazon Web Services10 lessons ยท Regions ยท Pricing
GCP
Google Cloud3 lessons ยท Perspectives
Microsoft AzureOnline services
Open-Source CloudsPrivate cloud platforms
VirtualizationVMs ยท Xen ยท Paravirt
MR
MapReduce & ZooKeeperDistributed paradigms
Cloud Service Delivery Models
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
Certificate Included+ Internship certificate available
14,500+
Students Enrolled
112
Video Lessons
3
Major Cloud Platforms
4.8/5
Average Rating
Six Core Cloud Domains
Everything Covered โ Fundamentals to Advanced
From cloud delivery models and major platforms to virtualization internals and distributed computing paradigms โ the most comprehensive cloud computing curriculum online.
AWS
Amazon Web Services
10 LessonsDeep dive into AWS โ 6 multi-part lessons on AWS services, regions & availability zones, pricing & charges, and a full AWS evaluation. The most in-depth cloud platform coverage in the course.
GCP
Google Cloud Platform
3 LessonsExplore the Google perspective on cloud computing โ Google's infrastructure, services, and approach to large-scale distributed computing across 3 dedicated lessons.
Microsoft Azure
1 LessonUnderstand Microsoft Windows Azure and its online services โ how Azure fits into the enterprise cloud landscape alongside AWS and GCP.
Open-Source Cloud Platforms
3 LessonsLearn software platforms for private clouds โ build and manage your own cloud infrastructure with open-source solutions, free from vendor dependency.
Cloud Resource Virtualization
20+ LessonsMaster virtual machines, VMMs, full virtualization, paravirtualization, hardware-assisted virtualization, Xen VMM case study, network virtualization, vBlades, and VM performance comparisons.
Distributed Systems & MapReduce
20+ LessonsExplore parallel computing, distributed systems, global state of process groups, MapReduce programming model, ZooKeeper coordination, workflows, and cloud resource scheduling.
Full Curriculum
Cloud Computing Course โ 112 Lessons
From network-centric fundamentals to advanced resource scheduling. 2 free preview lessons โ unlock 110 more lessons and internship access with enrollment.
Free Preview Lessons โ 2 Lessons Included
1Introduction
Free
2Chapter 1 Introduction
Free
Free Preview Ends Here
Continue to Enrollment
Unlock 110 More Lessons + Internship Access
Full course + real internship experience โ affordable one-time access Network-Centric Computing & Cloud Fundamentals
3Network-centric computing and network-centric content part-1
4Network-centric computing and network-centric content part-2
5Network-centric computing and network-centric content part-3
6Network-centric computing and network-centric content part-4
7Network-centric computing and network-centric content part-5
8Peer-to-peer systems part-1
9Peer-to-peer systems part-2
10Cloud computing โ an old idea whose time has come part-1
11Cloud computing โ an old idea whose time has come part-2
12Cloud computing delivery models and services part-1
13Cloud computing delivery models and services part-2
14Ethical issues in cloud computing part-1
15Ethical issues in cloud computing part-2
16Cloud vulnerabilities
17Major challenges faced by cloud computing part-1
18Major challenges faced by cloud computing part-2
Parallel & Distributed Systems
19Parallel and Distributed Systems
20Parallel computing part-1
21Parallel computing part-2
22Parallel computing part-3
23Parallel computing part-4
24Parallel computer architecture part-1
25Parallel computer architecture part-2
26Distributed systems
27Global state of a process group part-1
28Global state of a process group part-2
29Global state of a process group part-3
30Global state of a process group part-4
31Communication protocols and process coordination
Cloud Infrastructure โ AWS, Google Cloud, Azure & Open-Source
32Cloud Infrastructure Introduction
33Cloud computing at Amazon
34Amazon Web Services part-1
35Amazon Web Services part-2
36Amazon Web Services part-3
37Amazon Web Services part-4
38Amazon Web Services part-5
39Amazon Web Services part-6
40Regions and Availability Zones
41The Charges for Amazon Web Services
42An Evaluation of Amazon Web Services
43Cloud computing the Google perspective part-1
44Cloud computing the Google perspective part-2
45Cloud computing the Google perspective part-3
46Microsoft Windows Azure and online services
47Open-source software platforms for private clouds part-1
48Open-source software platforms for private clouds part-2
49Open-source software platforms for private clouds part-3
Cloud Storage, Interoperability & Compliance
50Cloud storage diversity
51Cloud storage diversity and vendor lock-in part-1
52Cloud storage diversity and vendor lock-in part-2
53Cloud computing interoperability โ the Intercloud part-1
54Cloud computing interoperability โ the Intercloud part-2
55Energy use and ecological impact of large-scale data centers part-1
56Energy use and ecological impact of large-scale data centers part-2
57Service- and compliance-level agreements
58Responsibility sharing between user and cloud service provider
59User experience
60Software Licensing
Cloud Applications & Paradigms
61Cloud Computing Applications and Paradigms part-1
62Cloud Computing Applications and Paradigms part-2
63Challenges for cloud computing
64Existing cloud applications and new application opportunities (1)
65Existing cloud applications and new application opportunities (2)
66Architectural styles for cloud applications part-1
67Architectural styles for cloud applications part-2
68Architectural styles for cloud applications part-3
69Workflows: Coordination of multiple activities part-1
70Workflows: Coordination of multiple activities part-2
71Workflows: Coordination of multiple activities part-3
72Workflows: Coordination of multiple activities part-4
73Workflows: Coordination of multiple activities part-5
74Coordination based on a state machine model โ The ZooKeeper part-1
75Coordination based on a state machine model โ The ZooKeeper part-2
76The MapReduce programming model
77A case study: The GrepTheWeb application
78Cloud computing for biology research part-1
79Cloud computing for biology research part-2
80Social computing, digital content, and cloud computing
Cloud Resource Virtualization
81Cloud Resource Virtualization part-1
82Cloud Resource Virtualization part-2
83Virtualization
84Layering and virtualization part-1
85Layering and virtualization part-2
86Virtual machine monitors
87Virtual machines
88Full virtualization and paravirtualization part-1
89Full virtualization and paravirtualization part-2
90Hardware support for virtualization part-1
91Hardware support for virtualization part-2
92Case study: Xen, a VMM based on paravirtualization
93Optimization of network virtualization in Xen 2.0 part-1
94Optimization of network virtualization in Xen 2.0 part-2
95vBlades paravirtualization targeting an x86-64 Itanium processor part-1
96vBlades paravirtualization targeting an x86-64 Itanium processor part-2
97A performance comparison of virtual machines part-1
98A performance comparison of virtual machines part-2
Cloud Resource Management & Scheduling
99Cloud Resource Management and Scheduling
100Policies and mechanisms for resource management part-1
101Policies and mechanisms for resource management part-2
102Applications of control theory to task scheduling on a cloud part-1
103Applications of control theory to task scheduling on a cloud part-2
104Feedback control based on dynamic thresholds part-1
105Feedback control based on dynamic thresholds part-2
106Coordination of specialized autonomic performance managers
107A utility-based model for cloud-based Web services part-1
108A utility-based model for cloud-based Web services part-2
109Resource bundling: Combinatorial auctions for cloud resources part-1
110Resource bundling: Combinatorial auctions for cloud resources part-2
111Resource management and dynamic application scaling part-1
112Resource management and dynamic application scaling part-2
Ready to master Cloud Computing โ AWS, Azure, Google Cloud & more?
Enroll Now โ Get Full Access
Enroll once โ get all 112 lessons, lifetime access, certificate & internship option.
Skills & Outcomes
What You Get From This Cloud Computing Course
From understanding cloud delivery models to deploying and managing cloud resources on AWS โ every skill a cloud engineer and architect needs.
Cloud Fundamentals & Delivery Models
Understand network-centric computing, peer-to-peer systems, the history of cloud computing, and all three cloud delivery models โ IaaS, PaaS, and SaaS โ with their real-world trade-offs and use cases.
AWS, Azure & Google Cloud
Deep dive into Amazon Web Services across 10 lessons โ services, regions, availability zones, pricing, and evaluation. Plus Google Cloud perspectives (3 lessons) and Microsoft Azure online services.
Virtualization โ Full, Para & Hardware
Master the complete virtualization stack โ virtual machines, VMMs, full virtualization, paravirtualization, hardware-assisted virtualization, Xen VMM case study, network virtualization, and VM performance comparisons.
Distributed Systems & MapReduce
Explore parallel computing, distributed systems, global state of process groups, the MapReduce programming model, ZooKeeper state machine coordination, and real-world case studies including GrepTheWeb.
Cloud Resource Management & Scheduling
Understand resource management policies, control theory for task scheduling, feedback-control-based dynamic thresholds, autonomic performance managers, combinatorial auctions for cloud resources, and dynamic application scaling.
Recognized Certificate & Cloud Career
Earn a globally recognized cloud computing certificate โ accepted by universities and employers worldwide, LinkedIn-ready with a verifiable ID. Opens doors to Cloud Engineer, Solutions Architect, and DevOps roles.
Cloud Computing
AWS + Azure + GCP
Mastering Cloud Computing โ From Fundamentals to Advanced Applications
A 112-lesson cloud computing course covering all major platforms (AWS, Azure, GCP), cloud delivery models, storage, virtualization, distributed systems, MapReduce, and advanced resource scheduling. From complete beginner to cloud-ready professional.
Enroll in Cloud Computing Course Now
Why This Cloud Course
Start Cloud Computing Course Today
The Most Comprehensive Cloud Computing Course Online
EasyShiksha's cloud computing course is trusted by 14,500+ students and rated 4.8/5. The only course that takes you from cloud fundamentals through all three major cloud platforms โ AWS, Azure, Google Cloud โ to advanced virtualization internals and resource scheduling.
Beginner to Advanced โ One CourseStarts from network-centric computing basics, advances to Xen VMM and combinatorial auction scheduling
All Three Major Cloud PlatformsAWS (10 lessons), Google Cloud (3 lessons), Microsoft Azure โ plus open-source private cloud platforms
Globally Recognized CertificateAccepted by universities, valued by employers worldwide, LinkedIn-ready with verifiable ID
Dual Certificate OptionEnroll with internship to earn cloud computing course certificate + internship certificate from one enrollment
Your Cloud Computing Certificate
Enroll & Get Cloud Computing Certificate
Earn a Cloud Computing Certificate That Employers Recognize
Completing EasyShiksha's cloud computing course earns you a globally recognized digital certificate โ accepted by universities, valued by tech employers worldwide, and shareable on LinkedIn with a unique verifiable ID.
Globally Recognized Cloud Computing CertificateAccepted by universities, employers, and government bodies worldwide
Unique Verifiable Certificate IDEmployers authenticate your cloud computing certificate instantly with a live verification link
Internship Certificate AvailableEnroll with internship to earn course completion + internship certificate from one enrollment
LinkedIn & Resume ReadyAdd to LinkedIn under Licences & Certifications with a live verification link
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Student Reviews
What Cloud Computing Students Are Saying
14,500+ students enrolled. Real reviews from professionals who completed EasyShiksha's cloud computing course online.
Cloud Certified
The AWS section alone is worth the entire course โ 10 dedicated lessons covering services, regions, pricing, and evaluation in a way no other online course does. The distributed systems and MapReduce sections are genuinely advanced and thorough. I landed a Cloud Engineer role at a startup 2 months after completing this course!
Cloud Certified
I specifically enrolled for the virtualization module โ the Xen VMM case study, paravirtualization, and hardware-assisted virtualization sections are the most detailed I've found anywhere online. The ZooKeeper and MapReduce sections round out the course perfectly for anyone targeting distributed systems roles.
Cloud Certified
I came in with zero cloud knowledge and this course genuinely takes you from the history of cloud computing all the way to advanced resource management and scheduling. The cloud storage and vendor lock-in section was particularly eye-opening. Got the internship certificate too โ both credentials together made a huge difference on my resume!
Cloud Computing Course FAQs
Frequently Asked Questions
Everything you need to know before enrolling in EasyShiksha's cloud computing course online.
What is covered in EasyShiksha's cloud computing course online?
EasyShiksha's cloud computing course covers 112 lessons across 7 key domains: network-centric computing and cloud fundamentals (delivery models, ethical issues, vulnerabilities), parallel and distributed systems, cloud infrastructure (Amazon Web Services in 10 lessons, Google Cloud, Microsoft Azure, open-source private clouds), cloud storage and interoperability, cloud applications and paradigms (MapReduce, ZooKeeper, workflows), cloud resource virtualization (VMs, VMMs, Xen, paravirtualization), and cloud resource management and scheduling.
Does this cloud computing course cover AWS in detail?
Yes. EasyShiksha's cloud computing course dedicates 10 complete lessons to Amazon Web Services โ covering AWS services across 6 multi-part lessons, AWS regions and availability zones, the charges and pricing model for AWS, and a full evaluation of the AWS ecosystem. Google Cloud is covered in 3 lessons and Microsoft Azure in 1 dedicated lesson.
Does the cloud computing course cover virtualization?
Yes. EasyShiksha's cloud computing course online includes a comprehensive virtualization module (18 lessons) covering virtual machines, virtual machine monitors (VMMs), full virtualization, paravirtualization, hardware-assisted virtualization (2 parts each), the Xen VMM paravirtualization case study, optimization of network virtualization in Xen 2.0, vBlades targeting x86-64 Itanium processors, and a performance comparison of virtual machines.
Is this cloud computing course suitable for beginners?
Yes. EasyShiksha's cloud computing course online starts from absolute fundamentals โ what network-centric computing is, the historical context of cloud computing, and the basics of cloud delivery models โ before progressively advancing through major cloud platforms, virtualization internals, and resource scheduling. No prior cloud, networking, or programming experience is required.
Does this cloud computing course cover MapReduce and distributed systems?
Yes. EasyShiksha's cloud computing course includes dedicated coverage of distributed systems, parallel computing (4 lessons), parallel computer architecture (2 lessons), global state of process groups (4 lessons), communication protocols, the MapReduce programming model, the GrepTheWeb case study, and ZooKeeper state machine coordination โ giving you a complete foundation in distributed cloud computing paradigms.
What certificate will I get after the cloud computing course?
Upon completing EasyShiksha's cloud computing course online, you receive a globally recognized digital certificate of completion โ accepted by universities for academic credit, valued by tech employers, and shareable on LinkedIn with a unique verifiable ID that recruiters can authenticate instantly.
What jobs can I get after the cloud computing course online?
Completing EasyShiksha's cloud computing course online qualifies you for roles including Cloud Engineer, Cloud Solutions Architect, AWS Cloud Practitioner, DevOps Engineer (Cloud focus), Cloud Security Analyst, Virtualization Specialist, Distributed Systems Engineer, and IT Infrastructure Manager โ all among the highest-paying tech roles globally.
Does the cloud computing course include an internship certificate?
Yes. EasyShiksha's cloud computing course can be enrolled with an internship program, giving you both a course completion certificate and an internship certificate from one enrollment โ two recognized credentials that significantly strengthen your cloud computing resume and LinkedIn profile.
Why Take a Cloud Computing Course Online in
Cloud computing is the backbone of modern technology. Every application you use โ from streaming services to banking apps, from enterprise software to AI models โ runs on cloud infrastructure. In , cloud computing skills are among the most in-demand in the technology industry, with cloud engineers, architects, and DevOps professionals commanding top salaries globally. Taking a cloud computing course online is the fastest path to entering this field or advancing within it.
Why This Cloud Computing Course is Different
Most cloud computing courses focus only on one platform โ typically AWS or Azure. EasyShiksha's cloud computing course online is the only course that covers all three major cloud platforms (AWS in 10 lessons, Google Cloud in 3 lessons, and Microsoft Azure), plus open-source private cloud platforms, cloud storage strategies, the complete virtualization stack, distributed systems, MapReduce, ZooKeeper, and advanced resource management and scheduling. At 112 lessons, it is the most comprehensive cloud computing curriculum available online.
The course is structured to take you from the very beginning โ network-centric computing, peer-to-peer systems, and the historical context of cloud computing โ through delivery models, major platforms, storage, security, and all the way to virtualization internals (Xen VMM, paravirtualization, hardware-assisted virtualization) and advanced resource scheduling algorithms.
Who Should Take This Cloud Computing Course Online?
This cloud computing course online is ideal for IT professionals and developers looking to move into cloud roles, students in computer science or related fields, software engineers wanting to understand cloud architecture, IT managers and architects responsible for cloud strategy, and anyone aiming for AWS, Azure, or Google Cloud certifications who wants to build foundational knowledge first.
Cloud Computing Course Online
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With 14,500+ enrollments, a 4.8/5 rating, and a globally recognized certificate, EasyShiksha's cloud computing course online is the trusted choice for learners worldwide who want to master cloud platforms, understand virtualization, and build a career in the cloud computing ecosystem. Enroll today and start building cloud-ready skills.
// Cloud Computing Course Online
Master Cloud Computing โ AWS, Azure & Google Cloud
Join 14,500+ students on EasyShiksha's cloud computing course. 112 lessons โ cloud platforms, virtualization, distributed systems, MapReduce & resource scheduling. Earn your certificate and launch your cloud career.
// PLATFORMS = AWS+Azure+GCP | VIRTUALIZATION = included | MAPREDUCE = covered | CERTIFICATE = recognized | INTERNSHIP = available
