Course Details
| Name | B.Tech - Artificial Intelligence |
| Full Name | B.Tech - Artificial Intelligence |
| Eligibility Category | 12th |
| Eligibility | 12th PCM with 45% (40% for SC/ST) |
| Duration | 4 Years |
| Mode | Year |
| Yearly Total Fees | 0 |
- BTech in Artificial Intelligence is a four-year undergraduate degree programme in the field of engineering. BTech AI is also known as Bachelor of Technology in Artificial Intelligence. BTech in Artificial Intelligence course is an advanced learning solution that impart knowledge of advanced technologies such as machine learning, also referred to as deep learning and artificial cognition.
BTech in Artificial Intelligence is a subfield of BTech in Computer Science which covers both Artificial Intelligence and Machine Learning courses. B.Tech Artificial Intelligence course specialisation is designed to allow students to create smart machines or applications that combine machine learning, analytics, and visualisation technology.
Highlights: BTech in Artificial Intelligence
Course Name - BTech in Artificial Intelligence
Course Duration - 4 years
Examination Type - Semester system
Semesters - 8 semesters
Eligibility Criteria - 10+2 or equivalent from a recognised school board (Science stream is mandatory)
Top Companies - Microsoft, Amazon, Facebook, Cognizant, TCS, and Reliance Jio
Job Position - Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, and Data Analyst
BTech in Artificial Intelligence Course Eligibility Criteria
For admission to the BTech in Artificial Intelligence course, different colleges and universities have different Artificial Intelligence course eligibility criteria. Some universities accept students based on their grades in 10+2, while others require students to take test entrance exams to be admitted to the B Tech in AI course.
- Candidates should have at least 60 per cent marks in their 10+2.
- They are required to complete their 10+2 in the Science stream, with a major focus on Mathematics, Physics, Chemistry, and Computer Science.
- Aspiring candidates are required to appear for the entrance examination to pursue a BTech in Artificial Intelligence course.
BTech in Artificial Intelligence Admission
BTech Artificial Intelligence colleges have different prerequisites for admission to the B Tech Artificial Intelligence course. Some colleges accept students based on their entrance exam performance and 10+2 results. Candidates are advised to carefully follow the admission procedure. Mentioned below is the admission procedure of the B.Tech AI course.
- The basic admission process for B.Tech courses requires that candidates fill in the application form and register for the course.
- The standard admission process for BTech in AI courses involves the eligible candidates filling up the application forms and registering for the course within the time slot provided by the college or university.
- Applicants will have to submit their documents for verification by the college authorities to be considered eligible for the course.
- Some institutes conduct entrance tests to assess the knowledge of candidates before they are admitted to the Artificial Intelligence courses.
- Applicants must go through the Artificial Intelligence eligibility criteria and the instructions given by the respective college or institute before applying for the B Tech in AI courses offered by the institution.
- Most of the institutes conduct online admissions, which makes it relatively easy for candidates to complete the procedure.
B Tech Artificial Intelligence: Skills Required
B.Tech Artificial Intelligence course requires the candidates to have certain skills to perform well academically and professionally in their careers. In order to pursue B Tech AI one must be skilled in certain areas so that the learning could be easier. Some of the skills that one must have are mentioned below:
- Logic
- Patience
- People skills
- Coding skills
- Analytical skills
- Critical Thinking
- Communication skills
- Problem-solving skills
Subjects/Syllabus of B.Tech Artificial Intelligence
Semester 1
- Calculus-I
- Discrete Maths
- Intro to Programming
- Environmental Chemistry
- Intro to AI
- English Communication
- Modern Physics
- Calculus-II
Semester 2
- Vector Calculus
- Bioengineering
- Programming for AI
- Probability and Random Variables
- Artificial Intelligence
- Differential Equations
- Engineering Electives
- LA/CA Elective
- Digital Fabrication
- Series of Functions
- Data Structures
- AI and Humanity
- DBMS - I
- Foundations of Machine Learning
- Personality Development
- Linear Systems and Signal processing
- Matrix Theory
- Introduction to Metric Spaces
Semester 4
- Convex Optimisation
- Algorithms
- DBMS - II
- Intro to Entrepreneurship
- Deep Learning
- Applied Statistics
- Compilers - I
Semester 5
- Numerical Analysis
- OS - I
- Reinforcement Learning
- Computer Architecture
- Control Systems
- Advanced Topics in ML
- Computer Networks-I
Semester 6
- AI Electives
- Engineering Electives
Semester 7
- AI Electives
- Robotics
- LA/CA Elective
Semester 8
- AI Electives
- Ethics and Values
- Free Electives
Elective Subjects
Data Analytics
Predictive Analysis
Big Data: Tools and Techniques
Cloud Computing
Distributed Systems
Graph Analytics for Big Data
Time Series Analysis
Data Mining
Language Technologies
Natural Language Processing
Text Processing
Information Retrieval
Speech Systems
Core AI and ML
Intro to Statistical Learning Theory
Introduction to Submodular Functions
Information Theory and Coding
Nonlinear Control Techniques
Bayesian Data Analysis
Learning/Convex Optimisation-II
Optimisation Methods in Machine
AI, Neuroscience and Natural Intelligence
Computational Neuroscience Lab
Applications of AI in Healthcare
Theoretical & Computational Neuroscience
Movement Science and Disorders
Movement Sciences Lab
Brain Machine Interfaces
Kernel Methods
Speech and Vision
Computer Vision
Surveillance Video Analytics
Image and Video Processing
Sequence Models
Data Analytics
Predictive Analysis
Big Data: Tools and Techniques
Cloud Computing
Distributed Systems
Graph Analytics for Big Data
Time Series Analysis
Data Mining
Scope of B.Tech Artificial Intelligence
The scope of B.Tech Artificial Intelligence offers the students a promising future, AI is revolutionising industries each and every industry nowadays. There is a high demand for qualified AI specialists. The students after completing this course can pursue various roles such as AI Engineer, Data Scientist, or Machine Learning Engineer.
After completing B.Tech Artificial Intelligence course, students can further go for higher education and take up postgraduate courses such as M.Tech in related disciplines, they can also pursue a PG diploma or a PG certification courses. B.Tech in AI provides a pathway to a rewarding and impactful career.
Career Options after B.Tech Artificial Intelligence
B Tech Artificial Intelligence career options are based on a computer machine science and engineering capability of performing activities that typically involve human intelligence, such as visual perception, speech recognition, decision-making, and language processing. A computer science division that majorly aims in the development of smart computer machines.
