B.Tech - Artificial Intelligence and Machine Learning

Overview:

BTech Artificial Intelligence and Machine Learning is primarily a 4-year undergraduate degree program, provided in the Engineering stream. The student under BTech Artificial Intelligence and Machine Learning is required to write the code of the said machine. This code in essence works as guiding instruction for the machine, they said the machine is performing tasks with less human intervention.

Students pursuing BTech Artificial Intelligence and Machine Learning would be taught Mathematics and Physics in modular forms during their first few semesters, afterwards, the program will shift towards subjects that are at the core of AI. Top BTech AI and ML universities are IIT Hyderabad, VIT and Chandigarh University. The annual average fees for BTech Artificial Intelligence and Machine Learning stand around 1-2 Lakhs per annum. Supreme companies like Oracle, Wipro, and TCS offer placements to the graduates of this course.

Graduates of B.Tech in artificial intelligence and machine learning are still required and their need is only bound to increase. In order to be eligible for opting for this 4-year undergraduate course, firstly, the student must have cleared their 10+2 Matric exams from a recognized board; secondly, they must have passed their exams with Mathematics and Physics as their compulsory subjects. The last requirement may vary as different institutes have varied cut off and entrance criteria for students.

Some Highlights of B.Tech Artificial Intelligence and Machine Learning:

Top Colleges Offering B.Tech Artificial Intelligence and Machine Learning in India:

• Chandigarh University Chandigarh
  
• Dev Bhoomi Uttarakhand University
  
• Indraprastha Institute of Information Technology
  
• DYPatil International University
  
• Sharda University
  
• Sage University Indore
  
• Galgotias University
  
• Lovely Professional University
  
• IIT Hyderabad
  

Why Choose B.Tech Artificial Intelligence and Machine Learning?

The global market since the advent of the internet and smartphones have been leaning towards artificial intelligence. In the current automated age machines are required for successfully completing numerous tasks, lives of individuals in the current world are to an extent dependent on proper functioning of these machines.

• The market share of artificial intelligence is projected to grow USD 190.61 Billion by 2025.
  
• Ai in the current world is omnipresent; it has made its way in the service sectors on numerous levels.
  
• In the current automated world, it is quite rare to find a sector or horizon untouched by AI.
  

Admission Procedure For B.Tech Artificial Intelligence and Machine Learning:

• Admission to some colleges is based on the scores secured in the entrance examination.
  
• The candidate qualified the entrance exam with the minimum cut-off will be eligible for the counseling procedure.
  
• The counseling procedure usually comprises the Personal Interview and Group Discussions rounds.
  

Eligibility For B.Tech Artificial Intelligence and Machine Learning:

• 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 Opportunities B.Tech Artificial Intelligence and Machine Learning:

There is a market for qualified AI and ML specialists, which means competitive pay and appealing prospects for career advancement. The typical base pay for AI and ML engineers in the US is over $140,000, with substantially higher pay for senior jobs, according to Glassdoor.

Jobs Opportunities After B.Tech Artificial Intelligence and Machine Learning:

• Machine Learning Engineer
  
• Big Data & AI Architect
  
• Big Data Scientist
  
• Artificial Intelligence Engineer
  
• Research Engineer - Artificial Intelligence
  
• Data and AI Consultant
  
• Robotics Professional

Top Recruiters of B.Tech Artificial Intelligence and Machine Learning:

• Google
  
• Facebook
  
• Wipro
  
• IBM
  
• NIIT
  
• Oracle
  
• Genpact
  
• HDFC Bank
  

Syllabus For B.Tech Artificial Intelligence and Machine Learning:

Semester I

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

Semester II

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 III

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

Semester IV

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

Semester V

Formal Languages & Automata Theory
Mobile Application Development
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 VI

Reasoning, Problem Solving and Robotics
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 VII

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 VIII

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