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MCA - Artificial Intelligence MCA - Artificial Intelligence

MCA - Artificial Intelligence + Advanced Certification Program in Artificial Intelligence from Great Learning

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Eligibility

Candidates must have passed Bachelor’s Degree (Minimum 3 years) from a recognized University with at least minimum 50% marks (45% in case of SC /ST) in aggregate. The candidate must have passed Mathematics at 10+2 level or Graduation level securing 50% marks.

Students who are in the final year of the bachelor’s degree are also eligible to apply.

Program Start Date

July 31, 2021

Application Deadline

July 15, 2021

Duration

2 Years

Study Mode

Online

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Why study MCA with Artificial Intelligence Specialization?

Artificial Intelligence (AI) has given us the right unison of technology and machination. We prefer the automated recommendations we see each time we start browsing our favourites online. We love it when the Facebook news feed populates the result as we wish. Thanks to Artificial Intelligence (AI). MCA with Artificial Intelligence is one of the best online MCA courses in India. With about US $ 50 billion spent over itself, AI and academic AI programs are prospering everywhere. The worldwide expenditure on Artificial Intelligence (AI) is all set to double by 2024. Loads of organizations worldwide will require a skilled employee base to add to their organizational growth through AI integrations and machine learning. It’s one of the best online degree programs in India.

The present state sees a scarcity of skilled employee base in this area. MCA with Artificial Intelligence shines out as one of the best UGC approved online courses in India. The program lays the foundations for one's technical streak in computer systems and software applications. A learner starts channelizing the technical traits. And the skills in machine learning and AI allow the learner to handle the integrations more effectively in the real-time environment. 

Specialization Highlights:

  1. Pragmatic curriculum, designed for industry-readiness
  2. Learn every relevant technology including Python and SQL, alongside some of the most viable machine learning techniques in the industry
  3.  Be a leveraged competitor and maestro in AI challenges
  4. Get an interactive e-portfolio for each project and showcase your expertise
  5. Learn every 'Trick of the Trade' through comprehensive sessions by eminent data scientists, AI and ML engineers
  6. Get a compendium of career-oriented contents including industry reports, interview guides, resume guides, practice questions, and masterclasses

Specialization Structure *

  • Mathematical Foundation for Computer Application
  • Operating System & Unix Shell Programming 
  • Data Communication & Computer Networks
  • Data Structures with Algorithms 
  • Computer Organization & Architecture
  • Relational Database Management System 
  • Design & Analysis of Algorithms 
  • Java Programming
  • Foundations of Machine Learning
  • Prediction using Machine Learning
  • Application Development using Python 
  • Advanced Web Technologies 
  • Big Data Management & Analytics
  • Recommendation Systems
  • Advanced Machine Learning
  • Open Elective Course - Effective Communication for Technology Professionals
  • Model Deployment & AI in practice
  • Neural Networks & Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Cross-Functional Elective Course - Competitive Programming
  • Project 

* Course matrix subject to change based on emerging industry trends and academic requirements

Value Added Programs on LinkedIn Learning
  • Database Foundations: Intro to Databases by Adam Wilbert
  • Programming Foundations: Object-Oriented Design by Barron Stone and Olivia Chiu Stone
  • Programming Foundations: Algorithms by Joe Marini
  • Applied Machine Learning: Foundations by Derek Jedamski
  • Big Data in the Age of AI by Barton Poulson
  • Building and Deploying Deep Learning Applications with TensorFlow by Adam Geitgey

Fee Plan

We offer loan assistance to students
  • Zero Cost EMI
  • EMI Options available for 8 months.

Learning Methodology

Program delivery follows the prescribed four Quadrants approach resulting in maximum learner engagement. Each course involves approximately 120 hours of learning.
Two-way live online audio-video lectures
Pre-recorded audio-video lecture available on the Learning Management System (LMS)
Multimedia content
Interactions through the discussion forum on the LMS
Exhaustive e-content/printed material for in-depth reference
Self-study activities including assignments, quiz & MCQs, essay-type questions, case study etc.
Experiential learning methods including individual and group projects, programming exercise, dissertation, MOOCs and various

Two-way live online lectures are scheduled during the weekends. Typically 5 - 8 hours of engagement is planned, the schedule of which is communicated well in advance. Faculty and Subject Matter Experts lead these interactive sessions. A recording of these sessions is hosted on the Learning Management System (LMS) for subsequent reference and practice.

Our LMS platform has been designed to engage and inspire a learner by providing access to all the learning resources including texts, videos, screencasts & lecture recordings; participate in discussion forums; communicate with the faculty and the program team. A leaner has the option to take-up the several quizzes and the MCQs that follow at the end of every unit of the course, track learning progress, submit assignments and much more.

A learner is provided access to an exhaustive tailor-made Self Learning Material (SLM) on the LMS. The SLM will also indicate sources of additional readings and resources available on the internet and on-campus library.

Assessment of performance in all courses is based on two components - Internal Assessment and University Examination conducted online at the end of the Semester.

The Program emphasizes on Experiential Learning that allows learners to apply concepts learnt in the classroom in simulated and real work situations. This is achieved through Simulation Tools, Platforms & Environments

Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the Program

How to Enroll into the Program?

  • Click here to visit the JAIN Online Enrollment Form. Create your login on the Enrolment Platform by entering your unique Email id and create a password of your choice.
  • Once you have logged in, you will see a screen showing 4 essential steps to be completed to enroll for the Program of your choice. All the necessary documents are to be submitted as part of the Process.
  • At the end of the Enrollment Process 'Pay Fee’ using Net Banking/ Debit Card/ Credit Card/SBI Collect. Option to submit fee using easy-EMI with 0% interest
  • If you are opting for Financial Aid, please select the Financial Aid option during Enquiry. Our Student Support Managers would reach out to you
  • Please download the Enrollment Form and Receipt. Enrollment Number is to be used for further Communication with the University
  • Our Program Managers would reach out to you for activating your Learning Management System

Career Advancement Services

Our Career Advancement Services Team works tirelessly to Connect our Students with the right Job opportunities. With Years of Experience in Training, Networking and Human Resource skills, the team finds exciting and challenging Job Opportunities for our students in companies of repute through a structured framework

Our Hiring Partners

Frequently Asked Questions

Designed as per the University Grants Commission (UGC) Regulations, 2020, JAIN (Deemed-to-be University)’s Online Degree Programmes are recognized at par with on-campus programmes Degrees are widely accepted Worldwide by governments, corporate organizations, and higher education institutions.

  • Candidates must have a 10 + 2 + 3-year bachelor's degree from a recognized university/institution or an equivalent qualification as recognized by the Association of Indian Universities or other competent bodies, in any discipline.

Live Online Classes are Scheduled on the Weekends for 7 to 8 Hours. Self-Learning Materials in the form of Video and PDF formats are available on the Learning Management System.

Examinations are conducted through Online Technology Enabled Proctored mode. The exam pattern comprises of internal and external assessments. The weightage is as follows: Internal(assignments) 30% and External (Semester examination) 70%. Section A- Subjective, Section B- Case Studies and Section C- MCQs

The minimum passing criteria is 5.5 SGPA(Semester Grade Point Average) and 6 CGPA (Cumulative Grade Point Average.

Yes, We offer placement assistance with JAIN (Deemed-to-be University) Connect To Careers Virtual Job Fair and on Connect To Careers e-Portal, a Digital Platform that can help you expand your job search by allowing you to meet multiple recruiting organizations looking for interns and employees.