BTech Artificial Intelligence Overview

BTech Artificial Intelligence

Bachelor of Technology [B.Tech] (Artificial Intelligence ) Admission Process, Course Fee, Syllabus, Eligibility, Scope and Salary

BTech Artificial Intelligence Overview

Bachelor of Technology in Artificial Intelligence or B.Tech Artificial Intelligence is a four-year UG degree programme, which is offered under the Engineering stream. Artificial Intelligence is teaching a machine the capability to solve problems using complex algorithms which human beings resolve using their natural intelligence. In short, Artificial Intelligence is engineering and science, which enables a machine or a computer to carry out tasks short of much human intervention.

In the Artificial Intelligence undergraduate degree programme, the students are trained about the languages understood by machines or computers through which humans can interact with them to be able to make them perform some tasks. Languages like JAVA, Prolog, Lisp, R and Python are some of the common machine languages taught to the students during their B.Tech degree study.

B.Tech in Artificial Intelligence Course Highlights

The table below contains the course highlights regarding B.Tech in Artificial Intelligence – 

Level of ProgrammeUndergraduate
Programme Duration4 Years
Eligibility CriteriaApplicants qualifying their 12th exam from a recognised Board and Science stream (Physics and Mathematics compulsory subjects) are eligible
Admission ProcessBoth Entrance Test based and Merit-based admission procedure
Average Course FeeINR 1,00,000/- to INR 1,50,000/- per annum (Tentetive)
Average Starting SalaryBetween 10 LPA and 15 LPA
Job Profiles for GraduatesData Analyst, Data Scientist, Data Engineer, Principle Data Scientist, Computer Vision Engineer etc

B Tech Artificial Intelligence scope

Computer VisionDeep Learning
Data Mining and Recommender SystemsNeural Network
Feature Engineering, the Production and Development of ML ModelsIn-Depth Machine Learning
Data ScienceThe Foundation of Natural Language Processing
Data ScienceThe Foundation of Natural Language Processing
The Fundamentals of ProgrammingSolving Real Artificial Intelligence Problems via Programming with Python
Machine Learning AlgorithmsApplications of Artificial Intelligence (Natural Language Processing, Robotics/Vision)
The Building of Intelligent Agents (Constraint Satisfaction Problems, Search, Games, Logic)The History of Artificial Intelligence
Introduction to Intelligent AgentsIntroduction to Artificial Intelligence
Deep Learning Case Studies (Real World) 

Btech Artificial Intelligence salary in India

At the moment, AI engineering is one of the most profitable career paths in the world. The AI job market has been growing at a phenomenal rate for some time now. The entry-level annual average AI engineer salary in India is around 8 lakhs, which is knowingly higher than the average salary of any other engineering graduate. At high-level positions, the AI engineer salary can be as high as 50 lakhs.

B.Tech Artificial Intelligence Syllabus

A variety of career opportunities opens up for those with a B.Tech degree in Artificial Intelligence. Some of them are mentioned below –

  • Computer Vision Engineer
  • Data Analyst
  • Algorithm Engineer
  • Research Engineer
  • Data Scientist
  • Data Engineer
  • ML Engineer
  • Computer Scientist
  • Principle Data Scientist
  • Big Data Architect
  • Business Intelligence Developer
  • Machine Learning Engineer
  • Robotics Programmer
  • Software Engineer
  • Video Game Programmer

B.Tech Artificial Intelligence Eligibility Criteria

Different universities have different eligibility criteria, however there are few essentials ones which are same for all. To be eligible for the B.Tech in Artificial Intelligence program –

  • The students must have cleared their 10+2 qualifying exam from a recognized Board from Science field.
  • The students should have passed their qualifying exam from Science stream and have to have studied Physics and Mathematics as compulsory subjects at the 12th level.
  • The students must have secured at least 50% aggregate in their qualifying exam that is 12th exam.
  • Candidates from SC/ST category will be eligible for admission on securing 45% marks in their matric examinations.
  • Also, specific university based examinations are required to be cleared to be considered as eligible for this course.

B.Tech Artificial Intelligence Admission Process

Admission in the given course is fundamentally processed through two methods. Either an institute might conduct an entrance exam or it will scrutinize the applicants merit through considering their performance in 10+2 metric exams. Some institutes conduct their sole entrance exams which are completely focused on allocation of seats in the given course. While other institutes also conduct similar B.Tech Entrance Exams, they also judge the performance of the students in the other all India wide exams like JEE, for granting due admission. Steps in relation to admission procedure are listed below.

Step 1: The candidate wants to pass his 10+2 with a minimum aggregate of 50%, this aggregate percentage might 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 program.

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

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

B.Tech Artificial Intelligence Syllabus

Semester 1

Mathematics I
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

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