Artificial Intelligence in BTech, Admission Process, Salary, Syllabus, Fees

Bachelor of Technology in Artificial Intelligence is the abbreviation for the degree. This advanced learning course teaches students about cutting-edge technologies including artificial intelligence, deep learning, and machine learning. The BTech Syllabus for Artificial Intelligence covers several important topics: data mining, robotics, reinforcement learning, applied statistics, and natural language processing. The four-year BTech Computer Science in AI program consists of two semesters annually.

Artificial Intelligence in BTech is a branch of B Tech computer science that covers courses in machine learning and artificial intelligence. It enables students to design intelligent devices or applications integrating analytics, machine learning, and visualization technologies. In India, the average salary for an AI engineer is about Rs. 12.0 LPA.


Artificial Intelligence in Btech

Highlight: Artificial Intelligence in BTech

 

Particulars

Values

Course Name

Artificial Intelligence in BTech

B Tech AI Course Duration

4 years

B Tech AI Examination Type

Semester system

B Tech AI Semesters

8 semesters

B Tech AI Eligibility Criteria

10+2 or equivalent (Science stream is mandatory)

B Tech Admission Process

Entrance Examination

B Tech AI Entrance Exams

JEE Main, TS EAMCET, MHT CET, KEAM, CUET UG, GUJCET, KCET, COMEDK UGET, CG PET

B Tech AI Average Salary

Rs. 12.1 LPA

B Tech AI Fees

Rs.20,000 to Rs. 24 lakhs

B Tech AI Recruiters

Microsoft, Amazon, Facebook, Cognizant, TCS, and Reliance Jio

B Tech AI Careers

ML Engineer, AI Engineer, Data Scientist, Data Engineer, and Data Analyst

 

Eligibility Criteria for Artificial Intelligence in BTech

 

The eligibility requirements for artificial intelligence in BTech vary from college to college. The B Tech admission is determined by the eligibility of the candidates. The following is a list of general eligibility requirements for B Tech admission in AI courses.

  • Candidates must have received at least 60% in their 10+2 coursework.
  • They must finish their 10+2 in the science stream, focusing mostly on chemistry, physics, and mathematics.
  • Additionally, certain universities may need computer science as a 10+2 course.
  • Prospective students must take the entrance exam for BTech admission in artificial intelligence.

 

BTech Admission Procedure

 

B Tech Admission requirements for artificial intelligence vary from college to college. While some colleges base their BTech admission on 10+2 scores, others base admissions on entrance exam performance. It is recommended that candidates closely adhere to the admissions process. The admissions process for the artificial intelligence in BTech course is described here.

  • Candidates must register for the course and complete the application form as part of the basic admissions process for artificial intelligence in BTech programs.
  • Eligible candidates must complete the application forms and register for the course within the time window specified by the institution or university as part of the usual BTech admission procedure for AI courses.
  • Applicants must submit their documentation for verification by the college administration to be deemed eligible for the course.
  • Several institutions administer admission exams to gauge their level of understanding before admitting students to artificial intelligence in BTech courses.
  • Candidates must review the eligibility requirements for artificial intelligence in BTech as well as the guidelines provided by the relevant college or institute before applying for BTech admission.
  • The majority of the institutions use online admissions, which makes the process comparatively simple for applicants.

 

B Tech Syllabus for AI Courses

Among the topics covered in the B Tech syllabus are Intro to AI, Differential Equations, Data Structures, and Foundations of Machine Learning. We have included artificial intelligence in BTech subjects as per the semester.

 

Semester 1

Calculus-I

Intro to AI

Discrete Maths

English Communication

Intro to Programming

Modern Physics

Environmental Chemistry

Calculus-II

Semester 2

Vector Calculus

Differential Equations

Bioengineering

Engineering Electives

Programming for AI

LA/CA Elective

Probability and Random Variables

Digital Fabrication

Artificial Intelligence

Series of Functions

Semester 3

Data Structures

Personality Development

AI and Humanity

Linear Systems and Signal processing

DBMS - I

Matrix Theory

Foundations of Machine Learning

Introduction to Metric Spaces

Semester 4

Convex Optimisation

Deep Learning

Algorithms

Applied Statistics

DBMS - II

Compilers - I

Intro to Entrepreneurship

-

Semester 5

Numerical Analysis

Control Systems

OS - I

Advanced Topics in ML

Reinforcement Learning

Computer Networks-I

Computer Architecture

-

Semester 6

AI Electives

Engineering Electives

Semester 7

AI Electives

LA/CA Elective

Robotics

Semester 8

AI Electives

Free Electives

Ethics and Values

Elective Subjects

Data Analytics

AI, Neuroscience and Natural Intelligence

Predictive Analysis

Computational Neuroscience Lab

Big Data: Tools and Techniques

Applications of AI in Healthcare

Cloud Computing

Theoretical & Computational Neuroscience

Distributed Systems

Movement Science and Disorders

Graph Analytics for Big Data

Movement Sciences Lab

Time Series Analysis

Brain Machine Interfaces

Data Mining

Kernel Methods

Language Technologies

Speech and Vision

Natural Language Processing

Computer Vision

Text Processing

Surveillance Video Analytics

Information Retrieval

Image and Video Processing

Speech Systems

Sequence Models

Core AI and ML

Data Analytics

Intro to Statistical Learning Theory

Predictive Analysis

Introduction to Submodular Functions

Big Data: Tools and Techniques

Information Theory and Coding

Cloud Computing

Nonlinear Control Techniques

Distributed Systems

Bayesian Data Analysis

Graph Analytics for Big Data

Learning/Convex Optimisation-II

Time Series Analysis

Optimisation Methods in Machine

Data Mining

 

Artificial Intelligence in B Tech Fees

The type of institute and its location determine the B Tech AI fees. In general, private educational institutions are more costly than public ones. An artificial intelligence in BTech typically costs between Rs.98,000 to Rs.20.0 lakhs. The cost of a B Tech in artificial intelligence, however, is even greater at some private universities.

 

BTech in Artificial Intelligence Salary

The salary for a BTech in artificial intelligence can be determined by the candidate's talents, the company's location, and the job description they apply for. There is a greater probability of earning a high wage if the BTech AI degree is earned from a prestigious university.

 

AI Engineer

Rs. 16.5 LPA

Data Scientist

Rs. 37.5 LPA

Data Engineer

Rs. 24.9 LPA

ML Engineer

Rs. 26.5 LPA

Data Analyst

Rs. 12.5 LPA

Robotics Engineer

Robotics Engineer

 

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