B.E. (Artificial Intelligence and Data Science) Skill Based Lab Course Cloud Computing Syllabus - Mumbai University
This is the TY BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01815 and 1T01816. The first and second years of the degree are on NEP 2020.
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Syllabus for Skill Based Lab Course Cloud Computing
Module 1 4 hours
- Introduction and overview of cloud computing. To understand the origin of cloud computing, cloud cube model, NIST model, characteristics of cloud, different deployment models service models, advantages and disadvantages.
Module 2 4 hours
- Concept of Virtualization along with their types, structures and mechanisms. Demonstration of creating and running Virtual machines inside hosted hypervisors like Virtual Box and KVM with their comparison based on various virtualization parameters.
Module 3 4 hours
- Functionality of Bare-metal hypervisors and their relevance in cloud computing platforms. Installation, configure and manage Bare Metal hypervisor along with instructions to create and run virtual machines inside it. It should also emphasize on accessing VMs in different environments along with additional services provided by them like Load balancing, Auto-Scaling, Security etc.
- Lab: (Teachers are requested to complete above theory before staring lab work)
Module 1 4 hours
- Title: To study and Implement Infrastructure as a Service using AWS/Microsoft Azure. Objective: To demonstrate the steps to create and run virtual machines inside a Public cloud platform. This experiment should emphasize on creating and running Linux/Windows Virtual machines inside Amazon EC2 or Microsoft Azure Compute and accessing them using RDP or VNC tools.
Module 2 4 hours
- Title: To study and Implement Platform as a Service using AWS Elastic Beanstalk/ Microsoft Azure App Service. Objective: To demonstrate the steps to deploy Web applications or Web services written in different languages on AWS Elastic Beanstalk/ Microsoft Azure App Service.
Module 3 2 hours
- To study and Implement Storage as a Service using Own Cloud/ AWS S3, Glaciers/ Azure Storage.
Module 4 2 hours
- To study and Implement Database as a Service on SQL/NOSQL databases like AWS RDS, AZURE SQL/ MongoDB Lab/ Firebase.
Module 5 3 hours
- Title: To study and Implement Security as a Service on AWS/Azure Objective: To understand the Security practices available in public cloud platforms and to demonstrate various Threat detection, Data protection and Infrastructure protection services in AWS and Azure.
Module 6 2 hours
- Title: To study and implement Identity and Access Management (IAM) practices on AWS/Azure cloud. Objective: To understand the working of Identity and Access Management IAM in cloud computing and to demonstrate the case study based on Identity and Access Management (IAM) on AWS/Azure cloud platform.
Module 7 4 hours
- Title: To study and Implement Containerization using Docker Objective: To know the basic differences between Virtual machine and Container. It involves demonstration of creating, finding, building, installing, and running Linux/Windows application containers inside a local machine or cloud platform.
Module 8 2 hours
- Title: To study and implement container orchestration using Kubernetes Objective: To understand the steps to deploy Kubernetes Cluster on local systems, deploy applications on Kubernetes, creating a Service in Kubernetes, develop Kubernetes configuration files in YAML and creating a deployment in Kubernetes using YAML,
Module 9 4 hours
- Mini-project: Design a Web Application hosted on a public cloud platform [It should cover the concept of IaaS, PaaS, DBaaS, Storage as a Service, Security as a Service etc.]
- Suggested Experiments: Students are required to complete the above experiments.
- Sr. No. Assignment
Module 1
- Assignment based on selection of suitable cloud platform solution based on requirement analysis considering given problem statement
Module 2
- Assignment on recent trends in cloud computing and related technologies
Module 3
- Assignment on comparative study of different computing technologies [Parallel, Distributed, Cluster, Grid, Quantum)
Module 4
- Comparative study of different hosted and bare metal Hypervisors with suitable parameters along with their use in public/private cloud platform
Module 5
- Assignment on explore and compare the similar type of services provided by AWS and Azure [Any ten services]
Useful Links
- 1 https://docs.aws.amazon.com/
- 2 https://docs.microsoft.com/en-us/azure
- 3 https://kubernetes.io/docs/home/
- 4 https://docs.docker.com/get-started/
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.42 (R), under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. Wording, module numbering and hours are as printed in that syllabus.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.
B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A)
NEP 2020, Semesters I and II, in force from 2024-25
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B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N)
NEP 2020, Semesters III and IV, in force from 2025-26
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B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R)
CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23
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B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N)
CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24
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