B.E - Computer Science and Engineering (AI and Machine Learning)

Overview:

Artificial intelligence (AI) refers to the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Machine learning is a specific form of AI that allows computers to learn and grow after they are introduced to scenarios in the form of data.

Essentially, B.E CSE (Artificial Intelligence and Machine Learning), revolves around programming of machines. In essence, it allows the candidate in communicating to the machine in the machine?s mother tongue. Thus in the program the candidate is required to learn these specific languages which can be used to customize the function of machines.

This is only one of the many faces of this program, a lot more is taught alongside these rudimentary topics. Many facets which aid the student in understanding the functioning are taught in this course, for instance information relating to knowledge representation, probabilistic models and reasoning methods are also taught to the candidate form the computer perspective.

Some of the Highlights of B.E CSE  (Artificial Intelligence and Machine Learning):

Top Colleges offering B.E CSE  (Artificial Intelligence and Machine Learning):

• Easwari Engineering College, Chennai
• NIEIT Mysore - NIE Institute of Technology, Mysore
• AMET University Kanathur
• Karunya University, Coimbatore
• Acharya Institute of Technology, Bangalore
• MCE Hassan - Malnad College of Engineering, Hassan
• Chandigarh University
• Adhiparasakthi Engineering College, Kancheepuram
• BIT Bangalore
• Apex Institute of Technology, Chandigarh
• PES College of Engineering, Mandya
• Rajalakshmi Institute of Technology, Chennai
• Cambridge Institute of Technology, Bangalore
• Bharat College of Engineering, Thane

Why Choose  B.E CSE Artificial Intelligence and Machine Learning?

A Computer Science Engineering degree with a specialization in AI and ML will teach you the following: The fundamentals of computer science, including programming, data structures, and algorithms. In-depth knowledge of AI and ML, including natural language processing, computer vision, and reinforcement learning.

The world of Machine Learning and AI is rapidly evolving, and India is at the forefront of this exciting revolution. Here's a glimpse into the vast scope of Machine Learning and AI careers:

Transforming Industries: AI and ML are revolutionizing various sectors like healthcare, finance, e-commerce, agriculture, and manufacturing. This creates a vast scope for applying these technologies and developing innovative solutions.

Increasinging Demand for Professionals: The demand for AI and ML professionals is rapidly growing across industries. This translates to ample job opportunities for skilled individuals.

Specialization Options: The field offers diverse specializations like computer vision, natural language processing, and robotics, allowing you to tailor your expertise to specific areas.

Ever Evolving: AI and ML are constantly evolving fields. This scope extends to ongoing research and development, ensuring a dynamic and intellectually stimulating career path.

Global Recognition: Expertise in AI and ML is valued globally, opening doors to international career opportunities.

Government Support: The Indian government actively promotes AI research and development initiatives, creating a supportive environment for growth.

Upskilling Opportunities: With the increasing demand for AI skills, numerous training programs and educational courses are available to help individuals upskill or transition into this field.

Admission Process for B.E CSE in Artificial Intelligence and Machine Learning:

Admission to the given course is essentially processed through two methods. Either an institute might conduct an entrance exam or it will scrutinize the candidate's merit by considering their performance in 10+2 matric exams. Some institutes conduct their sole entrance exams which are entirely focused on the allocation of seats in the given course. While other institutes also conduct similar BTech Entrance Exams, they also consider the performance of the candidate in the other India wide exams like JEE, for granting due admission.

Steps in relation to the admission procedure are listed below:

Step 1: The candidate needs to pass his 10+2 with a minimum aggregate of 50%, this aggregate percentage may vary, but it's similar for most institutes. Only after securing it would he be eligible for sitting for entrance exams for registration in the due course.

Step 2: Different institutes conduct different entrance exams, for getting into an IIT the candidate needs to pass IIT-JEE Advanced, some universities like Chandigarh university have their own exams which are required to be cleared for gaining a seat. Similarly, Universities like Indraprastha consider the marks of candidates in both their own university exam as well as in all India wide exams like JEE.

Step 3: Then the student is required to go through the counseling stage, some institutes might even have a personal interview stage which might be required to be cleared by the candidate.

Eligibility for B.E CSE Artificial Intelligence and Machine Learning:

As mentioned the eligibility criteria for this undergraduate varies in relation to the college. Still, there are a few prerequisites that are essential for pursuing this undergraduate course in most institutes, this criterion has been further discussed below.

• The candidate must have passed his 10+2 examination from the PCM field, from a recognized state/central education board.
  
• The candidate must have secured an aggregate of 50% marks in his 10+2 matric examinations,
  
• Candidates from SC/ST category will be eligible for admission after securing 45% marks in their matric examinations.
  
• Lastly, specific university based examinations are required to be cleared to be considered as eligible for this course.
  

Career Opportunity For B.E CSE in Artificial Intelligence and Machine Learning:

AI & ML is transforming numerous sectors – Healthcare, Finance, E-Commerce, Agriculture, Manufacturing, and more – creating a massive demand for skilled professionals. Moreover, Salaries in AI & ML can vary depending on experience, location, skill set, and the specific role. It is However, a generally well-paying field, with some senior positions reaching 20+ Lakhs Per Annum (LPA).

Furthermore, several government and private initiatives offer AI and ML training programs, making this field accessible to aspiring professionals. The rise of EdTech startups provides flexible and online learning opportunities, while some platforms even offer AI and Machine Learning courses in Hindi and other regional languages, promoting inclusivity. The applications of AI and ML span diverse sectors such As Healthcare, Finance and Agriculture, leading to a rising demand for skilled professionals.

Jobs opportunities after B.E - CSE (Artificial Intelligence and Machine Learning):

• Data Scientist
  
• Machine Learning Engineer
• Computer Vision Engineer
• Natural Language Processing Engineer
• Robotics Engineer
• AI Research Scientist
• Business Intelligence Developer
• AI Product Manager
• Data Analyst

Top Recruiters of B.E - CSE (Artificial Intelligence and Machine Learning):

• Google
• Facebook
• Wipro
• Oracle
• Genpact
• HDFC Bank
• Accenture
• IBM
• NIIT
• Prestige
• Aditya Birla Group
• Tech Mahindra
• HONEYWELL
• NOKIA
• Berger Paints
• TCS
• Bosch Ltd
• Hindustan Unilever
•  ICICI
• Infosys
• just dial
• Patanjali
• Axis Bank

Syllabus For B.E CSE (Artificial Intelligence and Machine Learning):

Semester 1

Mathematics I
Physics
Physics Lab
Programing in C Language
Programing in C Language Lab
Playing with Big Data
Open Source and Open Standards
Communication WKSP 1.1
Communication WKSP 1.1 Lab
Seminal Events in Global History

Semester 2

Mathematics II
Basic Electronics Engineering
Basic Electronics Engineering Lab
Data Structures with C
Data Structures-Lab
Discrete Mathematical Structures
Introduction to IT and Cloud Infrastructure Landscape
Communication WKSP 1.2
Communication WKSP 1.2 Lab
Environmental Studies
Appreciating Art Fundamentals

Semester 3

Computer System Architecture
Design and Analysis of Algorithms
Design and Analysis of Algorithms Lab
Web Technologies
Web Technologies Lab
Functional Programming in Python
Introduction to Internet of Things
Communication WKSP 2.0
Communication WKSP 2.0 Lab
Securing Digital Assets

Introduction to Applied Psychology

Semester 4

Operating Systems
Data Communication and Computer Networks
Data Communication and Computer Networks Lab
Introduction to Java and OOPS
Introduction to Java and OOPS Labs
Applied Statistical Analysis (for AI and ML)
Current Topics in AI and ML
Database Management Systems & Data Modelling
Database Management Systems & Data Modelling Lab
Impact of Media on Society

Semester 5

Formal Languages & Automata Theory
Mobile Application Development
Mobile Application Development Lab
Algorithms for Intelligent Systems
Current Topics in AI and ML
Software Engineering & Product Management
Minor Subject: - 1. Aspects of Modern English Literature or Introduction to Linguistics
Minor Project I

Semester 6

Reasoning, Problem Solving and Robotics
Introduction to Machine Learning
Introduction to Machine Learning
Natural Language Processing
Minor Subject 2 – General Management
Minor Subject 3 - Finance for Modern Professional
Design Thinking
Communication WKSP 3.0
Minor Project II

Semester 7

Program elective
Web Technologies
Major Project- 1
Comprehensive Examination
Professional Ethics and Values
Industrial Internship
Open Elective - 3
CTS-5 Campus to corporate
introduction to Deep Learning

Semester 8

Major Projects 2
Program Elective-5
Program Elective-6
Open Elective - 4
Universal Human Value & Ethics
Robotics and Intelligent Systems