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.
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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