About B.Tech in Artificial Intelligence

B.Tech Mechanical Engineering full form stands for Bachelor of Technology in Artificial Intelligence. The goal of the course is to prepare students to build intelligent devices, software, or applications using cutting-edge analytics, machine learning, and data visualization techniques. The course duration is four years with each year divided into eight semesters. The aspirants from this course work mainly in IT industries and software conglomerates.

The B.Tech Artificial Intelligence syllabus and subjects focus on students to equip them with practical knowledge of leading software development and also impart them with theoretical knowledge. B.Tech in Artificial Intelligence job scope is extensive for students who want to pursue their career in the field of artificial intelligence, machine & deep learning, and Big data. 

Eligibility Criteria for B.Tech Artificial Intelligence

The eligibility for the B.Tech Artificial Intelligence course varies by the university in India. For B.Tech Artificial Intelligence admission, the aspirant should have a 10+2 average of 55 percent or higher in the field of Science from any recognized boards. A candidate must take an entrance exam to be eligible for the B.Tech Artificial Intelligence course in India. The major exams are IIT JEE, VITEEE, SUAT, and LPU NEST for course eligibility. B.Tech Artificial Intelligence in India has no age restrictions.

Who Should Pursue B.Tech Artificial Intelligence?

The B.Tech Artificial Intelligence is designed for students who want to get into Machine technologies such as designing, repairing, and mining internal systems for computers, robots, and other machine-based systems. Many software and other AI-related industries are always looking for Graduates with B.Tech in Artificial Intelligence. Because of this, students have various job opportunities after completing this course.

When To Do B.Tech Artificial Intelligence?

If a student wants to pursue a career in a Marine-related field, he or she should begin at the 10+2 level. They must pass 12th class from a recognized board with a minimum of 75% marks in Physics, Chemistry, and Mathematics.

Syllabus of B Tech Artificial Intelligence

B.Tech in Artificial Intelligence Semester 1 Syllabus

• Calculus-I
• Discrete Maths
• Intro to Programming
• Environmental Chemistry
• Intro to AI
• English Communication
• Modern Physics
• Calculus-II

B.Tech in Artificial Intelligence Semester 2 Syllabus

• Vector Calculus
• Bioengineering
• Programming for AI
• Probability and Random Variables
• Artificial Intelligence
• Differential Equations
• Engineering Electives
• LA/CA Elective
• Digital Fabrication
• Series of Functions

B.Tech in Artificial Intelligence Semester 3 Syllabus

• Data Structures
• AI and Humanity
• DBMS - I
• Foundations of Machine Learning
• Personality Development
• Linear Systems and Signal processing
• Matrix Theory
• Introduction to Metric Spaces

B.Tech in Artificial Intelligence Semester 4 Syllabus

• Convex Optimisation
• Algorithms
• DBMS - II
• Intro to Entrepreneurship
• Deep Learning
• Applied Statistics
• Compilers - I

B.Tech in Artificial Intelligence Semester 5 Syllabus

• Numerical Analysis
• OS - I
• Reinforcement Learning
• Computer Architecture
• Control Systems
• Advanced Topics in ML
• Computer Networks-I

B.Tech in Artificial Intelligence Semester 6 Syllabus

• AI Electives
• Engineering Electives

B.Tech in Artificial Intelligence Semester 7 Syllabus

• AI Electives
• Robotics
• LA/CA Elective

B.Tech in Artificial Intelligence Semester 8 Syllabus

• AI Electives
• Ethics and Values
• 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
• Free Electives
• 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

Types of B.Tech Artificial Intelligence

Candidates can pursue the course in full-time or part-time mode. Below are the types of B.Tech Artificial Intelligence courses:

Full-Time B.Tech Artificial Intelligence

The full-time B.Tech Artificial Intelligence duration is 4 years. This course requires more practical knowledge than theoretical understanding. The benefit of studying full-time is that students can gain much more exposure, experience, and knowledge through direct interaction with their fellow students and professors.

Part-Time B.Tech Artificial Intelligence

The part-time B.Tech Artificial Intelligence course is designed for students who cannot attend regular classes. The duration of the course is  4 years. The advantage of the part-time course is that students can pursue this course while simultaneously being engaged in employment, etc.

Distance B.Tech Artificial Intelligence

The distance B.Tech Artificial Intelligence program lasts 4 years and is divided into eight semesters of six months each. For those who wish to pursue a B.Tech in Artificial Intelligence after 10+2 but don't have the time to attend normal classes, distance learning is the ideal option.

Popular Entrance Examination For B.Tech Artificial Intelligence

There are entrance exams conducted by many B. Tech Artificial Intelligence colleges in India for admission in the course. Here is the list of some of the popular entrance exams conducted by universities:

• IIT JEE
• VITEEE
• SUAT
• LPU NEST

B.Tech Artificial Intelligence Future Scope

B.Tech in Artificial Intelligence job opportunities are bright, it is up to individual students and professionals to identify their career paths and learn the skills and knowledge required. Progress in learning essential AI subjects and networking with the right people depends partly on your personal initiative. With more people being drawn to the idea of Artificial Intelligence, people are now seeing prospective career options after B Tech Artificial Intelligence. Nevertheless, AI's reach in India is pretty significant as the ultimate aim is to build computer programs that can resolve various issues and deliver target-oriented solutions effectively.

Thus, there is a lot of B.Tech Artificial Intelligence scope in India for computer vision, game development, speech recognition, robotics, and language detection. After the four-year degree course in B Tech Artificial Intelligence, One can pursue further studies as well. Since this B.Tech in Artificial Intelligence course is an undergraduate program, candidates willing to study further can take up the postgraduate course and pursue M.Tech courses in the desired field. Apart from that, one can also pursue a PG diploma and PG certification courses.

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.

Machine Learning Engineer: Machine Learning Engineers study and transform data science prototypes. They research and implement appropriate Machine Learning algorithms and tools and perform statistical analysis and draft them using test results.

Artificial Intelligence Engineer: The Artificial Intelligence Engineer is responsible for understanding the market issues, identifying and applying the right AI or cognitive computing technologies to solve problems and requiring recipes for commercial application in the formulation and implementation of technologies.

Data Scientist: Data Scientists enhance data collection procedures to include information that is relevant for building analytic systems. The process, of cleaning, and verifying the integrity of data used for analysis. They also select features, building and optimizing classifiers using machine learning techniques.

Data Analyst: Data analysts are professionals who use data analysis software to scrutinize details. By recognizing different facts and patterns, the concrete conclusions that they derive from the raw data help their employers or clients make important decisions.

Jobs Profiles After Completed B.Tech Artificial Intelligence

1. Railway Engineer
2. IT Officer
3. Lecturer or Professor
4. ISRO Scientist
5. National Informatics Centre Scientist
6. Application Architect
7. IT Specialist
8. Data Analyst
9. Software Engineer
10. Software Tester