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Home / Syllabus / B.E Artificial Intelligence and Machine Learning / Third Year AI ML / Semester 6 / Software Engineering and Project Management Lab

B.E Artificial Intelligence and Machine Learning Software Engineering and Project Management Lab Syllabus - Mumbai University

This is the Third Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2022-23. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.

Software-Engineering-and-Project-Management-Lab.pdf
Semester 6 · Third Year AI-ML · 1 credit · 25 marks

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Syllabus for Software Engineering and Project Management Lab

Semester 6 · Third Year AI-ML · 1 credit · 25 marks

Module 1: To understand DevOps: Principles, Practices, and DevOps Engineer Role and Responsibilities

Module 2: To understand Version Control System / Source Code Management, install git and create a GitHub account

Module 3: To Perform various GIT operations on local and Remote repositories using GIT Cheat-Sheet

Module 4: To understand Continuous Integration, install and configure Jenkins with

  • Maven/Ant/Gradle to setup a build Job

Module 5

  • To Build the pipeline of jobs using Maven / Gradle / Ant in Jenkins, create a pipeline script to Test and deploy an application over the tomcat server.

Module 6

  • To understand Jenkins Master-Slave Architecture and scale your Jenkins standalone implementation by implementing slave nodes.

Module 7: To Setup and Run Selenium Tests in Jenkins Using Maven.

Module 8

  • To understand Docker Architecture and Container Life Cycle, install Docker and execute docker commands to manage images and interact with containers

Module 9: To learn Dockerfile instructions, build an image for a sample web application using Dockerfile.

Module 10: To install and Configure Pull based Software Configuration Management and provisioning tools using Puppet

Module 11

  • To learn Software Configuration Management and provisioning using Puppet Blocks(Manifest, Modules, Classes, Function)

Module 12: To provision a LAMP/MEAN Stack using Puppet Manifest.

Useful Links

  • 1 https://nptel.ac.in/courses/128106012
  • 2 https://www.edureka.co/devops-certification-training
  • 3 https://www.coursera.org/professional-certificates/devops-and-software-engineering

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2022-23. Wording is as printed in that syllabus. Module numbering is as printed there too.

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.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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