Complete Cloud Computing Syllabus For BCA, MCA, and B.Tech

Cloud computing delivers services related to computers using digital technologies like servers, online storage, databases, networks, software, etc., to generate more innovations and faster computing and resource generation.

In this guide, you’ll get the complete cloud computing syllabus (with downloadable PDF) for MCA, BCA, and B.Tech.

Complete Cloud Computing Syllabus For MCA

Module 1: Cloud Architecture

The subjects included in cloud architecture generally include:

  • Cloud computing fundamentals include understanding cloud computing definition and public and hybrid clouds—different types of Cloud, like IaaS, PaaS, and SaaS. Understand the benefits and challenges of the subject. Understand what business agility is and the development of next-generation cloud applications.
  • Cloud applications: These include the development of web service applications, like APIs, web service authentication and its different methods, deployment technologies, and its advantages and disadvantages.
  • Management of cloud services: It includes maintaining the performance and stability of the system and how one can enhance the system for better performance. Understand what cloud economics is and the requirements of cloud computing in an organization.
  • Application Development: It includes helping one learn cloud software development, service creation environments, developing cloud-related applications, and using Amazon, Azure, and Google Apps.
  • Cloud I.T. model: It includes an analysis of case studies on adopting different cloud computing architectures. Help you learn how to choose a cloud architecture and improve one’s cost of ownership.

Related guide: Complete guide to learning cloud computing from scratch

Module 2: Virtualization techniques

The different subjects included in this module include:

  • Cloud Computing Fundamentals: The subject includes learning the fundamentals of cloud computing, its characteristics, components, and various types of visualizations. It includes server visualization, storage visualization, network visualization, different visualization applications, importance, and some case studies.
  • Cloud Implementations: Learning different cloud deployment models like public, private, and hybrid clouds. You learn scalability, elasticity, service load balancing, SOAP and REST AP, and other service middleware.
  • Cloud Services Management: Overview of the management services. You learn IaaS, PaaS, SaaS, and different cloud delivery models.
  • Cloud File Systems And Workloads You learn different concepts of GFS, HDFS, BigTable, HBase, Dynamo, and Map-reduce models. You also get an overview of workloads that are suitable and not suitable for clouds.
  • Cloud Tools And Future Cloud: Learn about different tools like Eucalyptus, Nimbus, OpenNebula, etc. You also learn about different cloud migration techniques, data migration, IoT cloud, green Cloud, etc.

Module 3: Cloud Application Development

The subjects included in this model are:

  • Cloud-based applications: Introduction to the subject, differences between traditional and current computing systems for the Cloud. Get to know what cloud ecosystems are and what are the popular APIs.
  • Designing code for the Cloud: Learn web browser attributes and their differences. Understand the building blocks of presentation, including HTML, CSS, Silverlight, and Flash.

Web development: Understand Ajax building controls, introduction to J.S. and different frameworks, like JQuerry, and work with JSON, REST, and XML—knowledge of different deployment environments.

Module 4: Cloud Analytics

The module includes subjects like:

  • Design and Business of Cloud: Know the benefits of cloud computing and the emerging risks associated with the Cloud. Know what cloud migration is, different infrastructures for cloud contemplation, and different technologies used by cloud computing.
  • GCP: Understand what services Cloud vendors offer, what are the different cloud computing categories, what are cloud storage and databases, and what Cloud networking is.
  • Data processing and visualization: Learn cloud pub/sub, data storage, cloud storage classes, Cloud SQL, cloud bigtable, cloud spanner, cloud datastore, persistent disks, and BigQuerry.

Module 5: Cloud Security

The module includes various subjects like:

  • Basics: Learn the fundamentals of cloud security, the I.T. foundation for the Cloud, security architectures, cloud reference architecture, security control methods, and secure cloud deployment.
  • Cloud security architecture: Learn the security concerns for cloud computing, risk tolerance including legal and regulatory issues, architecture’s security requirements, patterns of security, and critical strategies to follow for proper cloud deployment.
  • Data security and strategies: Learn about shared and dedicated resources, network considerations, data center considerations, and operational security considerations.
  • Security criteria: Learn about regulations, selection of a CSP, assurance, risks, and security-related criteria.
  • Information security framework: Learn evaluation of cloud security, foundational and business security considerations, different security operations activities, vulnerability and penetration techniques, and security monitoring and its response.

Module 6: Private Cloud Deployment And Management

The module includes the following subjects:

  • Cloud deployment models: Learn about Private Cloud, Public Cloud, and community cloud, their services, ways of deploying them, and comparison between them.
  • Private Cloud: Learn the basics of private Cloud, its characteristics, virtualization vs private Cloud, different types of private Cloud, benefits, and cloud computing risks.
  • Transition into private clouds: Learn the history of private clouds, I.T. environment, traditions, ways of virtualization, standardization, automation, and how things have changed since then.

Module 7: Backup And Disaster Recovery

The models generally include the following subjects:

  • Basics of storage: Learn data center infrastructure, implementation, and different methods of redundant array intelligent storage systems’ inexpensive disks and components.
  • Introduction to business continuity: Learn about information availability, B.C. terminology, B.C. planning, life cycle, and business impact analysis.
  • Backup and archive: Learn the purposes of keeping a backup, granular recovery considerations, different backup methods, and backup in the NAS environment, backup in a virtualized environment, and data archive.
  • Local and remote replication: Learn different replication terminologies, local replication technologies, local replication in a virtualized environment, and different remote replication methods.
Cloud computing fundamentals, Cloud applications, Management of cloud services, Application Development, Cloud IT model.
Cloud Computing Fundamentals, Cloud Implementations, Cloud Services Management, Cloud File Systems, Workloads, Cloud Tools, and Future Cloud.
Cloud-based applications, Designing code for the cloud, Web development.
Design and Business of cloud, GCPData processing, and visualization
Cloud security architecture, Data security, and strategiesSecurity criteria, Information security framework.
Cloud deployment models, Private Cloud, Transition into private clouds.
Basics of storage, Introduction to business continuity, Backup and archive, Local and remote replication

📌 Download the cloud computing syllabus for MCA.

Complete Cloud Computing Syllabus For BCA

BCA is the acronym for Bachelor of Computer Applications, an undergraduate course that helps you learn the different applications of coding languages in network systems.

Module 1: Semester 1

You get to learn the following cloud computing topics typically in BCA.

  • Algebra, Calculus, and Trigonometry: Learn about matrices, theory of equations, differential calculus, integral calculus, and trigonometry.
  • Programming in C: Get an overview of programming, learn the fundamentals of C programming, advanced programming techniques, dynamic data structures in C, and many other additional features.
  • Introduction to Linux: Introduce yourself to Linux, learn the Unix file system, Unix process management, VI editor, and system administration.
  • Laboratory works on C programming and Linux programming.

Module 2: Semester II

  • Probability and Statistics: Learn about random variables, distribution functions, moments, moment-generating functions, two-dimensional random variables, descriptive statistics, and correlation and curve fitting.
  • Fundamentals of storage management: Introduction to information storage and management, learning storage system management, raid and storage networking technologies, backup and recovery, and local and remote replication techniques.
  • Operating systems: Introduction to O.S., process management, memory management, file-system and disk management, and security systems.
  • OOPS with C++: Introduction to object-oriented programming with C++, learn what a class is, operator overloading, what a pointer is, and templates and exception handling.
  • Data Structure with C: Introduction to data structures in C, searching and sorting, stack and queue, linked list, and tree graphs with their applications.
  • Lab Work on OOPS with C++ and data structures.

Module 3: Semester III

  • Information security fundamentals: Introduction to information technology, what is the need for information technology, risk management methods, network infrastructure security and connectivity, and information asset classification.
  • Software engineering: Learn software products, processes, requirements, analysis, design concepts, principles, testing, and project management.
  • RDBMS: Introduction to Relational Database management Systems, relational models, SQL views, index, triggers, database design, and transactions.
  • Computer Networks: Learn the fundamentals of networking, basics of network devices, network transport and application layers, WAN technology, and network operating systems and troubleshooting networks.
  • JAVA Programming: Introduction to programming in JAVA, learn about the classes, packages, multithreaded programming, and JAVA database connectivity
  • Lab Work on RDBMS and Programming in Java.

Module 4: Semester IV

You get to study the following subjects as part of module 4.

  • Server operating system: Learn installing and configuring servers, configure local storages, configure file and share access, and configure print, document services, and servers for remote management. 
  • Ethical hacking fundamentals: Learn what ethical hacking is, how to do ethical hacking using attacks and exploits, web and network hacking, report writing and mitigation, and the legalities of ethical hacking.
  • Cryptography fundamentals: Introduction to cryptography, different types of algorithms, key management, cryptography applications, and use of cryptography in user authentication.
  • Introduction to cloud technology: Learn about different cloud computing companies and migrating to the Cloud, management of cloud cost and how you should select a cloud provider, how the Cloud is governed, and what are the risks and benefits of cloud computing.
  • Fundamentals of the data center: Get an overview of data centers, requirements of data centers, design of data centers, introduction to server farms, and business continuity and disaster recovery fundamentals.
  • Lab work on ethical hacking and server operating systems.

Module 5: Semester V

You study the following topics as a part of module 5.

  • Computer Forensics: Learn about computer forensics, storage devices, data recovery methods, forensic techniques, and cyber laws.
  • Virtualization and cloud security: Introduction to virtualization in the Cloud, cloud security, cloud trust protocol, transparency, cloud data security, and the legalities of cloud security.
  • I.T. governance, risks, and information security management: Know what I.T. governance is, what the different information systems strategies are, risk management programs, and information security management
  • Introduction to cloud computing solutions: It includes infrastructure solutions on the Cloud, getting started with Azure, Azure storage, and Azure networking. Azure active directory, Azure database, and Azure websites.
  • Principles of virtualization: Learn the basics of virtualization, deployment and managing an enterprise desktop virtualization environment, deployment and managing a presentation virtualization environment, accessing published applications, and understanding virtualization software.
  • The lab works on computer forensics and principles of virtualization.

Module 6: Semester VI

  • Mobile, wireless, and VOIP security: Introduction to wireless technology, wireless security, voice over internet protocol security, mobile forensics, data extraction, and mobile application development security.
Algebra, Calculus, and Trigonometry, Programming in C, Introduction to Linux, Laboratory works on C programming and Linux programming.
Probability and Statistic, Fundamentals of storage management, Operating system, OOPS with C++, Data Structure with C, Lab Work on OOPS with C++ and data structures.
Information security fundamentals, Software engineering, RDBMS, Computer Networks, JAVA Programming, Lab Work on RDBMS, and Programming in Java.
Server operating system, Ethical hacking fundamentals, Cryptography fundamentals, Introduction to cloud technology, Fundamentals of the data center, Lab Work on ethical hacking, and server operating systems.
Computer Forensics, Virtualization, and cloud security, IT governance, information security management, Principles of virtualization, computer forensics.
Mobile, wireless, and VOIP security.

📌 Download the cloud computing syllabus for BCA.

Complete Cloud Computing Syllabus For Btech

Btech stands for Bachelor of technology. It is the course that students in India take to become an engineer. Cloud computing is an elective subject in Btech computer science at most universities.

Module 1: Computer Networks

The subjects covered as a part of module 1 include:

  • Basics: Learn what computer networks are, their evolution, advantages, disadvantages, reference models, Internet, circuit switching, and packet switching.
  • Local Area Network: Learn about LAN architecture and topologies, like Bus or tree, Ring, Star, Wireless, Ethernet and Fast Ethernet, and token ring
  • Application layer and data link layer: Different protocols of the application layer, like HTTP, FTP, SMTP, and DNS. Data link layer design issues, stop and wait-flow control, error control and detection, and sliding window protocols.
  • Medium access layer: Identify channel allocation problem, multiple access protocols, ALOHA, CSMA, CD, CA.
  • The network layer: Introduction to routers, concepts of network layers, flooding, distance vector routing, and quality of service.
  • The transport layer: Services of the transport layer, transport protocol elements, TCP and UDP, introduction to session and presentation layers, Email.

Module 2: Distributed Systems

The subjects covered as a part of module 2 include:

  • Basics: Learn what distributed systems are, trends in distributed systems, resource sharing, and types of system models.
  • Networking and Internetworking: Introduction to networking and internetworking, different types of networks, principles of network, Internet protocols, remote procedure calls, and remote method invocation.
  • Operating system support, Web services, and security: Introduction to O.S., O.S. layer, architecture, virtualization, introduction to web services, web services IDL, applications, cryptography algorithms, digital signatures, and distributed deadlocks.
  • Distributed File Systems and Distributed Transactions: Name service and domain name service, nested transaction, locks, optimistic concurrency control, and distributed deadlocks.
  • Distributed Multimedia system and distributed algorithm: Characteristics of multimedia data, service management quality, stream adaption, community protocols, routing algorithms, and deadlock-free packet switching.

Module 3: High-Performance Computing

The subjects covered as a part of module 3 include:

  • Parallel and distributed programming models: Introduction to high-performance computing, cluster grid, meta computing, design phases, common parallel patterns, and performance metrics and profiling.
  • Overview of cluster computing: What cluster computing is, the role of the clusters, distributed computing, the architecture of cluster computing, fault tolerance, manageability, programmability, load balancing, and security.
  • Grid computing: Introduction to grid computing, evolution, infrastructure, grid models, and grid monitoring systems.
  • Task parallelism and data parallelism integration: Introduction, models, design and implementation, performance analysis, and related work.

Module 4: Information Storage Management

The subjects covered as a part of module 1 include:

  • Storage technology: Introduction to information storage, types of data, information, storage, the evolution of storage technologies, architecture, and information life cycle.
  • Data protection and Intelligence Storage system: Different components of the storage system environment, implementation of RAID, RAID arrays, RAID levels, and disk performance.
  • Storage networking technologies and virtualization: Introduction to SCSI, types of DAS, pros and cons, disk drive interfaces, parallel SCSI, and storage area networks.
  • CAS and business continuity: Learn different types of archives, pros and cons, architecture, and retrieval in CAS.
  • Backup, recovery, and replication: Learn the purpose behind keeping a backup, backup considerations, backup granularity, recovery considerations, backup process, backup topologies, different modes of replication, and remote replication technologies.

Module 5: Interfacing With Virtualization

The subjects covered as a part of module 1 include:

  • Basics: Introduction to virtualization, need for virtualization, cost of virtualization, limitation, and types.
  • Hypervisors and virtual machines: Introduction to server virtualization, basics of the virtual machine, types of the virtual machine, concepts, and types of hypervisors.
  • Virtualization solutions: Getting to know Azure, benefits of virtualization, benefits of data center virtualization, and benefits of client virtualization.
BasicsLocal Area NetworkApplication layer and data link layer, Medium access layeThe network layer, The transport layer.
BasicsNetworking and Internetworking, Operating system support, Web services, and security, Distributed File Systems and Distributed Transactions, Distributed Multimedia system and distributed algorithm.
Parallel and distributed programming models, Overview of cluster computing, Grid computing, Task parallelism, and data parallelism integration.
Storage technology, Data protection, and Intelligence Storage system, Storage networking technologies and virtualizationCAS and business continuity, Backup, recovery, and replication.
Hypervisors and virtual machines, Virtualization solutions.

📌 Download the cloud computing syllabus for B.Tech.

Important Cloud Computing Subjects

The essential subjects for studying cloud computing are:

  • Data Centre Management: Knowledge of data center management helps you assemble the organization’s resources and different infrastructures for efficient data processing and storage.
  • Security is critical when working with cloud systems because it helps you keep your data discreet and protected from cybercriminals.
  • Database knowledge is essential because it helps you organize, store, and arrange data in your workplace.
  • System Automation helps you optimize infrastructure effectively and check resource usage. It also helps in efficient governance.
  • Programming languages are essential because without these, neither you can communicate with the system and networks nor can the system communicate with you.
  • Linux knowledge helps you with cloud workloads. Linux is still the most opted-for O.S. when working with cloud-based systems.

Top Cloud Computing Universities

The university plays a significant part in getting proper knowledge about any discipline. Thus, you should be admitted to a good university to learn about something as new as cloud computing. So, Let’s take a look at the top cloud computing universities.

Some of the best free courses available on the Internet are:

Here are some of the best universities for cloud computing:

1. AKTU University

Dr. A. P. J. Abdul Kalam Technical University, Lucknow University in Lucknow, Uttar Pradesh, has cloud computing as an elective subject in the seventh semester of Btech CSE. The fee for the course is around five lacs.

2. VTU

Visvesvaraya Technological University (VTU) Public university in Belgaum, Karnataka. In the seventh semester, it offers Cloud computing and applications as an elective subject in Btech Computer science. 

3. Chandigarh University

The Chandigarh-based university offers B.E. (Hons) in Computer science engineering with a cloud computing specialization. The course is in collaboration with IBM. The tuition fee for the course is around INR 10.92 lacs, and you have to qualify for the CUCET entrance test.

4. VIT Bhopal

The university offers cloud computing and automation as elective subjects with CSE. The tuition fee is around INR 7.92 lacs, and you must qualify for the VITEEE entrance exam.

5. Anna University 

The university is in Tamil Nadu and offers cloud computing in its MCA course. The course fee is around INR 35000.

You can also opt for online and offline training in cloud computing in India. In fact, we have listed some of the top cloud computing courses in Delhi.

List Of Cloud Computing Entrance Exams

Cloud computing has become one of the most sought-after fields of study nowadays. Seeing the rush, top universities started filtering the best students through an entrance test. Thus, let’s check out the top entrance exams to get into top universities.

1. JEE Main: One of the most famous engineering entrance examinations. The top engineering colleges across India require the student to have a specific JEE Main score to get a seat in any of the fields of Btech.

2. JEE Advanced: JEE Advanced is an entrance exam to enter the IITs, the premier institution for pursuing engineering. The number of seats is limited, while the number of aspirants has a long queue. 

3. VITEEE: It is an entrance exam to join any of the branches of VIT. It is also one of the most sought-after engineering institutes.

4. SRMJEEE: It is an entrance exam to get yourself admitted to SRM college in Chennai.

5. IPU CET: IPU CET is an entrance to joining Indraprastha university.

6. MHT CET: MHT CET is like JEE Main but only for Maharashtra state. Only the universities in Maharashtra take part in the MHT CET. However, students from all parts of India can apply.

What Is The Average Salary Of A Cloud Engineer?

According to Ambition box, an average cloud engineer in India earns around 5.3 LPA, roughly INR 44000 monthly. The same person in the USA would earn $121,205, with a $10,500 annual bonus.


Is Cloud computing all about coding?

No, Cloud computing isn’t all about coding. It would help to have networking, mathematics, management, and other cloud computing skills

Is C++ required for cloud computing?

Yes, C++ plays an essential role in cloud computing. In cloud computing, C++ can be used for developing applications that require high computational power, such as data analytics and machine learning.

Is Python required for cloud computing?

Python isn’t required as much as C++ and Java in the case of cloud computing.

Is java required for cloud computing?

JAVA is a fundamental programming language in many next-generation technologies, including cloud computing.

Can non-IT students do cloud computing?

Yes, non-IT students can pursue MCA to make a career in cloud computing. For example, individuals with a background in finance or business can learn to use cloud-based financial management systems or cloud-based customer relationship management (CRM) tools.

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