BE Artificial Intelligence and Machine Learning Engineering

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Bachelor of Engineering in Artificial Intelligence and Machine Learning Engineering

Duration

4 Years

Level

Graduation

Type

Degree

Eligibility

10+2

BE Artificial Intelligence and Machine Learning Engineering or Bachelor of Engineering in Artificial Intelligence and Machine Learning Engineering is a full-time four-year undergraduate degree program. Artificial Intelligence and Machine Learning is a branch of study or discipline that includes theories, standards, methods, and innovations in various different domains like mathematics, cognitive science, electronics, and embedded systems to make intelligent systems that mimic human behavior.

The Artificial Intelligence and Machine Learning program focuses on collecting, categorizing, strategizing, analyzing, and interpreting data. The Artificial Intelligence and Machine Learning program is a specialized branch that deals with the development of embedded systems like robotics and IoT-based applications. The Artificial Intelligence and Machine Learning program also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world business problems.

BE Artificial Intelligence and Machine Learning Engineering Eligibility

  • The students must have qualified for their 10+2 examination or equivalent from any recognized Board.
  • The candidates must have studied Physics and Mathematics along with Chemistry / Biotechnology / Biology / Electronics / Computers at their 10+2 level.
  • The students should have scored a minimum of 50-55% aggregate marks at their Intermediate level.

BE Artificial Intelligence and Machine Learning Engineering Syllabus

Syllabus of Artificial Intelligence and Machine Learning Engineering Course as prescribed by various Colleges & Universities.

BE Artificial Intelligence and Machine Learning Engineering Semester-I

Sr. No.

Subjects to Study

1

Basic Electrical Engineering

2

Calculus and Linear Algebra

3

Elements of Civil Engineering and Mechanics

4

Engineering Physics and Engineering Graphics

5

Practicals

  • Basic Electrical Engineering Laboratory
  • Engineering Physics Laboratory
  • Technical English

BE Artificial Intelligence and Machine Learning Engineering Semester-II

1

Advanced Calculus and Numerical Methods

2

Basic Electronics and Engineering Chemistry

3

C Programming For Problem-Solving

4

Elements of Mechanical Engineering

5

Practicals

  • C Programming Laboratory
  • Engineering Chemistry Laboratory
  • Technical English-II

BE Artificial Intelligence and Machine Learning Engineering Semester-III

1

Analog and Digital Electronics

2

Computer Organization and Software Engineering

3

Data Structures and Applications

4

Discrete Mathematical Structures

5

Transform Calculus, Fourier Series and Numerical Techniques

6

Practicals

  • Analog and Digital Electronics Laboratory
  • Data Structures Laboratory
  • Professional Ethics and Cyber Law

BE Artificial Intelligence and Machine Learning Engineering Semester-IV

1

Complex Analysis, Probability, and Statistical Methods

2

Design and Analysis of Algorithms

3

Data Communication and Operating Systems

4

Microcontroller and Embedded Systems

5

Object-Oriented Concepts

6

Practicals

  • Design and Analysis of Algorithms Laboratory
  • Microcontroller and Embedded Systems Laboratory

BE Artificial Intelligence and Machine Learning Engineering Semester-V

1

Automata Languages and Artificial Intelligence

2

Computer Graphics and Image Processing

3

Database Management System

4

Machine Learning with Python

5

Management and Entrepreneurship for IT Industry

6

Sensors and Sensor Applications

7

Practicals

  • AI and ML with Python Laboratory
  • Database Laboratory
  • Environmental Studies

BE Artificial Intelligence and Machine Learning Engineering Semester-VI

1

Advanced AI and ML Techniques

2

Advanced Image Processing with Virtual Reality

3

Web applications using Machine Learning Techniques

4

Professional Elective-I

  • Advanced Computer Graphics with Virtual Reality
  • Cryptography and Network Security
  • Decision Support System
  • Data Mining and Warehousing
  • Soft and Evolutionary Computing

5

Open Elective-I

  • Introduction to Artificial Intelligence
  • Introduction to Soft Computing and Web Technology

6

Practicals

  • Natural Language and Image Processing Laboratory
  • Web Application Laboratory
  • Mini Project
  • Internship

BE Artificial Intelligence and Machine Learning Engineering Semester-VII

1

Internet of Things with Machine Learning

2

Robotics Process Automation

3

Professional Elective-II

  • Business Analytics
  • Biometric Systems and Cognitive Systems
  • Mobile Application Development
  • Speech Processing

4

Professional Elective-III

  • Cloud Computing and Virtualization
  • Human-Computer Interaction
  • Knowledge and Data Engineering
  • Pervasive Computing

5

Open Elective-II

  • Introduction to Business Intelligence
  • Introduction to Cloud Computing and Biometrics System

6

Practicals

  • Internet of Things Laboratory
  • Mobile Application Development and Robotics Automation Laboratory
  • Internship
  • Project work Phase I

BE Artificial Intelligence and Machine Learning Engineering Semester-VIII

1

Big Data and its Applications

2

Professional Elective-IV

  • Artificial Intelligence and Machine Learning in Healthcare and Agriculture
  • Multilayer Neural Networks and Deep Learning
  • System Modelling and Simulation

3

Practicals

  • Project Work Phase II
  • Technical Seminar
  • Internship

 

BE Artificial Intelligence and Machine Learning Engineering College

  • CMR Institute of Technology, Bengaluru

BE Artificial Intelligence and Machine Learning Engineering Suitability

  • Artificial Intelligence and Machine Learning is an appropriate course for those who like to develop various innovative and intelligent solutions to solve complex industrial and business problems.
  • This course can contribute to industrial automation, information technology, and other sectors like healthcare, agriculture, wearable, space, and meteorology through analysis of raw data, extraction intelligence from that, and design, development, support, and testing of AI and ML-based systems along with embedded applications.

How is the BE Artificial Intelligence and Machine Learning Engineering Course Beneficial?

  • After successfully completing AI & ML degree course, students will learn how to design, create and implement AI and ML-based software solutions to solve real-world problems.
  • This course helps to explore concepts such as AI, Machine Learning, Deep Learning, Image Processing, Virtual Reality, and IoT and its applications.
  • Artificial Intelligence and Machine Learning graduates can also showcase their expertise in knowledge management, mobile, and distributed application development, intelligence Web/E-Commerce development, database administration, computer hardware, networking, education and training, and decision support systems using machine learning concepts with the help of the latest tools and technologies.
  • Those candidates who want to go for further higher studies can pursue Master's degree programs in the relevant fields.

BE Artificial Intelligence and Machine Learning Engineering Employment Areas

  • Construction
  • Cloud Hosting
  • Cyber Security
  • Education
  • Fashion
  • Healthcare
  • Manufacturing
  • Supply Chain Management

BE Artificial Intelligence and Machine Learning Engineering Job Types

  • Algorithm Specialist
  • Business Intelligence Developer
  • Computer Vision Engineers
  • Data Scientists
  • Machine Learning Engineers
  • Research Scientists

Advanced Course in BE Artificial Intelligence and Machine Learning Engineering

  • ME Artificial Intelligence and Machine Learning Engineering