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Artificial Intelligence
Online / Distance

  • 3
  • Regular/online
  • ₹ 2-3 LPA

The MCA degree programme at JECRC University seeks to provide students with the necessary abilities to work in the industry that has been concentrating on developing intelligent machines. Experts have designed the programme. You get the chance to interact with the faculty, your fellow classmates, and industry professionals while you learn in a classroom setting. The collaboration with the industry for this specialised degree programme has improved the course materials and academic delivery.""

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Course Overview

The MCA degree programme at JECRC University seeks to provide students with the necessary abilities to work in the industry that has been concentrating on developing intelligent machines. Experts have designed the programme. You get the chance to interact with the faculty, your fellow classmates, and industry professionals while you learn in a classroom setting. The collaboration with the industry for this specialised degree programme has improved the course materials and academic delivery.

Amazon, NVIDIA, Microsoft, IBM, Accenture, Facebook, Intel, Samsung, and many other companies are looking for AI and ML positions. AI is used widely. Workplaces, banks, autos, homes, hospitals, and even the space have useful uses for it. AI approaches are used in Google's search engine, video games, and computer animation from Hollywood. AI aids governments in making judgments about health and transportation policies as well as helping financiers forecast stock market movement.


A system can learn from data rather than through explicit programming thanks to the specific discipline of artificial intelligence known as machine learning. The use cases for AI have significantly risen in recent years thanks to advances in machine learning techniques, data availability, and computing capacity. Corporations and governments from all over the world have made significant investments in AI. As a result, job prospects in data science and AI have multiplied tremendously.

Highlights:

• Industry experts and academics worked together to balance theory and practise in the curriculum.

• The course covers all crucial ideas in Python, statistics, probability distribution models, and linear algebra.

• Using hands-on instruction with Python, Matplotlib, Panda, Mum-py, and Scikit-Learn, explain the fundamental ideas.

• Individual sessions with specialists will be held for each learner to clear their doubts.

Eligibility:

earned a BCA or B.Sc. with a minimum GPA of 60% in (Computer Science) or B.Sc. (Information Technology).
Note: Candidates who fall under the SC/ST/Rajasthan state OBC Non-creamy layer/women categories will receive a 5% mark relaxation in the minimum eligibility requirements.

Curriculum:

Semester 1

TITLE OF COURSE
Foundations of Computer Systems
Mathematical Foundations for Computer Applications
Essentials of Cybersecurity
Elective I
Elective II
Elective III

Semester 2

TITLE OF COURSE
Data Structures and Algorithms
Computational Linear Algebra
Cloud Computing
Elective IV
Elective V
Elective VI

Semester 3

TITLE OF COURSE
Software Project Management
Research Methodology
Elective VII
Elective VIII
Elective IX
Elective X

Semester 4

TITLE OF COURSE
 Project

Electives

 

Foundations of Machine Learning
Natural Language Processing
Business Analytics and Visualization
Deep Learning for AI
Computer Vision
Complex Network Analysis
Data Engineering for AI
Reinforcement Learning
IoT for AI
Artificial Intelligence
Artificial Intelligence for Robotics
No-SQL Databases
Applications of Machine Learning
Web Analytics
Computational Statistics
AI for Drug Discovery and Target Validation
Representation Learning
Medical Signal Processing
Applied Predictive Analytics
Data Visualization

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