B.Tech - Artificial Intelligence & Machine Learning


Why B.Tech - Artificial Intelligence & Machine Learning

What is Artificial Intelligence & Machine Learning?

B.Tech in Artificial Intelligence and Machine Learning (AI & ML) 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 in performing tasks with less human intervention.

To communicate with the machines, the student is required to know the specific language understood by the machine, thus in the program students are taught the languages which can be input in the machine. Computer languages like Prolog, Lisp, JAVA and Python are some languages that are taught in this course. 

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.

 

B.Tech Artificial Intelligence and Machine Learning Eligibility 

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 on an aggregate 50% marks in his 10+2 matric examinations,
  • Candidates from SC/ST category will be eligible for admission on 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.

 

B.Tech in Artificial Intelligence and Machine Learning Admission Process: 

Admission in 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 through 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 all 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.

 

BTech Artificial Intelligence and Machine Learning Course Highlights

 

Level of Program

Undergraduate

Program Duration

4 Years

Eligibility Criteria

Applicants qualifying their 10+2 exam from a recognized Board and Science stream (Physics and Mathematics compulsory subjects) are eligible

Admission Process

Both Entrance Test based and Merit-based admission process

Average Course Fee

INR 1,00,000/- to INR 3,50,000/- per annum

Average Starting Salary

Between 10 LPA and 15 LPA

Job Profiles

Data Analyst, Data Scientist, Data Engineer, Principal Data Scientist, Computer Vision Engineer etc

 

 

B.Tech in Artificial Intelligence and Machine Learning Syllabus: 

Semester 1

Semester 2

  • Mathematics I
  • Physics
  • Physics Lab
  • Programming in C Language
  • Programming 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
  • 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

Semester 4

  • 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
  • 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

Semester 6

  •  
  • 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
  • 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

Semester 8

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

 

 

B.Tech in Artificial Intelligence and Machine Learning Jobs

 

There are varied opportunities that await the B.Tech graduate in artificial intelligence and machine learning, some of the biggest corporate names in India and outside recruit these graduates. Some of these companies are listed below:

The scope of specialization in this field may aid the graduate in, pursuing jobs in both public and private sector, the individual can pursue the following jobs: