B.Tech in Artificial Intelligence, also known as B.Tech AI, is a unique and specialized undergraduate engineering curriculum that prepares students for the dynamic and fast growing field of artificial intelligence. AI, or artificial intelligence, is a technology that tries to construct intelligent systems and machines that can replicate human intelligence and do tasks that normally require human cognitive functions. Among these tasks include problem solving, learning, reasoning, natural language comprehension, and visual perception.
The B.Tech in AI program is designed to provide students with a thorough understanding of AI technologies, machine learning, data science, and computer science. It focuses on both the theoretical foundations and practical applications of artificial intelligence, ensuring that graduates are well-prepared to face real-world difficulties in a variety of industries.
Candidates must normally meet tough eligibility standards to gain admission to a B.Tech program in Artificial Intelligence in India. These qualifications frequently include a minimum aggregate score of 50% in their 10+2 academic year. Universities and institutions that offer this program typically use a combination of entrance examinations and merit-based direct admissions. As part of the application process, ambitious students are usually given the option of submitting their applications either online through the official website of the respective educational institution or in-person at the admission office of the institution.
Why Choose B.Tech In Artifial Intelligence?
A B.Tech in Artificial Intelligence is an interesting and forward-thinking choice that opens doors to countless opportunities, and here are some compelling reasons why:
- In-Demand Skills: Artificial intelligence (AI) is at the forefront of technological innovation, and firms all over the world are looking for AI workers. By pursuing a B.Tech in AI, you will be equipped with in-demand skills that can lead to a profitable and meaningful job.
- AI can be used in a variety of areas, including healthcare, banking, and automotive. This degree offers a diverse range of employment options, from machine learning engineer to data scientist, making it appealing to a wide range of interests.
- Problem Solving: A B.Tech in AI sharpens your problem-solving skills. You will work on challenging AI development issues.
- innovation and research: AI is a perpetual source of innovation and research. By pursuing this degree, you will become a member of a community that pushes the frontiers of what is possible with technology.
- Global recognition: AI professionals are in high demand globally. Your abilities can take you to a variety of geographical areas, and you can contribute to worldwide AI projects.
- AI Ethics and Responsibility: As AI technology advances, the demand for responsible and ethical AI practitioners grows. A B.Tech in AI will prepare you to be at the forefront of ensuring that AI technologies are created and applied ethically.
- Financial Potential: AI careers are typically financially rewarding. With the increased need for AI professionals, it’s typical to discover competitive wage packages.
Highlights
| Aspect | Details |
| Program Title | B.Tech in Artificial IntelligenceB.Tech in Artificial Intelligence |
| Duration | 4 years |
| Entrance Exam | JEE MAINS, JEE ADVANCED, BITSAT, WBJEE, VITEEE, KEAM, SRMJEE |
| Eligibility | 10+2 (or equivalent) with a science background |
| Admission Process | Entrance Exam and/or Merit-Based Admission |
| Course Fees | Rs. 1,00,000 to Rs. 3,00,000 Per Annum |
| Average Salary | Rs. 1,00,000/- to Rs. 10,50,000/- Per Annum |
| Employment | Chief Technology Officer, Software Designer, Computer Analyst, Data Interpreter, Data Analyst, Data Information Scientist |
| Top Institutes | IITs, NITs, and Leading Engineering Colleges |
Syllabus
| Semester I | Semester II |
| Mathematics I | Mathematics II |
| Physics | Basics Electronic Engineering |
| Physics Lab | Basics Electronic Engineering Lab |
| Programming in C Language | Data Structure With C |
| Programming in C Language Lab | Data Structure Lab |
| Playing with Big Data | Discrete Mathematical Structures |
| Open Source and Open Standards | Introduction to IT and Cloud Infrastructure Landscape |
| Communication WKSP 1.1 | Communication WKSP 1.2 |
| Communication WKSP 1.1 Lab | Communication WKSP 1.2 Lab |
| Seminal Events in Global History | Environmental Studies |
| Appreciating Art Fundamentals |
Second Year
| Semester III | Semester IV |
| Computer System Architecture | Operating Systems |
| Design and Analysis of Algorithms | Data Communication and Computer Networks |
| Design and Analysis of Algorithms Lab | Data Communication and Computer Networks Lab |
| Web Technologies | Introduction to Java and OOPS |
| Web Technologies Lab | Introduction to Java and OOPS Lab |
| Functional Programming in Python | Applied Statistical Analysis (for AI and ML) |
| Introduction to the Internet of Things | Current Topics in AI and ML |
| Communication WKSP 2.0 | Database Management Systems & Data Modelling |
| Communication WKSP 2.0 Lab | Database Management Systems & Data Modelling Lab |
| Securing Digital Assets | Impact of Media on Society |
| Introduction to Applied Psychology |
Third Year
| Semester V | Semester VI |
| Formal Languages & Automata Theory | Reasoning, Problem Solving and Robotics |
| Mobile Application Development | Introduction to Machine Learning |
| Mobile Application Development Lab | Natural Language Processing |
| Algorithms for Intelligent Systems | Minor Subject 2 – General Management |
| Current Topics in AI and ML | Minor Subject 3 – Finance for Modern Professional |
| Software Engineering & Product Management | Design Thinking |
| Minor Subject: – 1. Aspects of Modern English Literature or Introduction to Linguistics | Communication WKSP 3.0 |
| Minor Project I | Minor Project I |
Fourth Year
| Semester VII | Semester VIII |
| Program elective | Major Projects 2 |
| Web Technologies | Program Elective-5 |
| Major Project- 1 | Program Elective-6 |
| Comprehensive Examination | Open Elective – 4 |
| Professional Ethics and Values | Universal Human Value & Ethics |
| Industrial Internship | Robotics and Intelligent Systems |
| Open Elective – 3 | |
| CTS-5 Campus to corporate | |
| Introduction to Deep Learning |
Subjects
| Core Subjects | Elective Subjects |
| Artificial Intelligence | Robotics |
| Neural Networks | Automata |
| Pattern Recognition | Deep Learning |
| Algorithms | Sensors |
| Machine Learning | Programming Language |
| Language Processing | Database Management & Big Data |
Average Fees
| Courses | Average Fees |
| B.Tech in Artificial Intelligence | Rs. 1,00,000 to Rs. 3,00,000 Per Annum |
Eligibility Criteria
| Eligibility Criterion | Description |
| Educational Qualification | Must have completed 10+2 or equivalent examination. Should have studied Physics, Chemistry, and Mathematics as core subjects. |
| Minimum Percentage | Generally, candidates are required to have a minimum aggregate percentage (e.g., 50-75%) in their 10+2 examinations, depending on the university or counseling body. |
| Entrance Exam Score | Qualification in relevant engineering entrance exams such as JEE Main, BITSAT, or state-specific exams is often mandatory. The rank or score in the entrance exam plays a crucial role in the counseling process. |
| State Domicile (for State Quotas) | For state government engineering colleges, some seats are reserved for candidates with domicile in that state. |
| Age Limit | Many institutes have an age limit for candidates, typically 17-25 years. |
| Nationality | Indian citizenship or eligibility as per the institute’s guidelines is generally required. |
| Special Category Eligibility | Reserved category candidates (SC, ST, OBC), Persons with Disabilities (PwD), and economically weaker sections (EWS) may have specific eligibility criteria and reservations. |
| Non-Objection Certificate (NOC) | For candidates who have studied or are studying in foreign institutions, an NOC from the concerned authorities may be required. |
Entrance Exams
| Entrance Exams | Link |
| JEE Main Exam | (Click here) |
| JEE Advanced Exam | (Click here) |
| Aligarh Muslim University Engineering Entrance Examination (AMUEEE) | Click here |
| Amity Joint Entrance Examination (AJEE) | Click here |
| Assam Common Entrance Examination (ACEE) | Click here |
| Birla Institute of Technology and Science Admission Test (BITSAT) | Click here |
| Chhattisgarh Pre-Engineering Test | Click here |
| Cochin University of Science and Technology Common Admission Test (CUSAT CAT) | Click here |
| Goa Common Entrance Test (GCET) | Click here |
| Graduate Aptitude Test in Engineering | Click here |
| Himachal Pradesh Combined Entrance Test (HPCET) | Click here |
| ITSAT ( CFAI Tech School Admission Test) | Click here |
| Jammu & Kashmir Common Entrance Test | Click here |
| JEE Advanced | Click here |
| Kerala Engineering Architecture Medical (KEAM) | Click here |
| KIITEE | Click here |
| Manipal_Entrance_Test_(MET) | Click here |
| MHT CET | Click here |
| Joint Entrance Examination (Main) or JEE Main | Click here |
| SRM Joint Engineering Entrance Exam | Click here |
| Jharkhand Combined Entrance Competitive Examination (JCECE) | Click here |
| Vellore Institute of Technology Engineering Entrance Examination (VITEEE) | Click here |
| Vignan’s Scholastic Aptitude Test (VSAT) | Click here |
| West Bengal Joint Entrance Exam (WBJEE) | Click here |
Career Opportunity for B.Tech in Artificial Intelligence Graduates
| Career Opportunity | Description | Average Annual Salary (in INR) |
| Machine Learning Engineer | Design and implement machine learning models and algorithms. | 7,00,000 – 15,00,000 |
| Data Scientist | Analyze and interpret complex data sets to provide actionable insights. | 8,00,000 – 18,00,000 |
| AI Research Scientist | Conduct research to advance the field of artificial intelligence. | 10,00,000 – 20,00,000 |
| Natural Language Processing Engineer | Develop algorithms for text and speech recognition. | 6,00,000 – 15,00,000 |
| Computer Vision Engineer | Create systems for image and video analysis and interpretation. | 7,00,000 – 16,00,000 |
| Robotics Engineer | Design and build robotic systems for various applications. | 6,50,000 – 14,00,000 |
| AI Ethics Consultant | Ensure the ethical use of AI technologies in businesses. | 6,00,000 – 12,00,000 |
| Business Intelligence Developer | Develop data solutions to drive business decisions. | 5,50,000 – 12,00,000 |
| AI Product Manager | Oversee the development of AI products and their market success. | 9,00,000 – 20,00,000 |
| AI Consultant | Provide expertise to organizations implementing AI strategies. | 7,00,000 – 14,00,000 |
Top Colleges For B.Tech In Artificial Intelligence in India
| Institute | City | Annual Fees (in INR) |
| Chandigarh University | Chandigarh | 1.6 Lakh |
| Dev Bhoomi Uttarakhand University | Dehradun | 1.5 Lakh |
| Indraprastha Institute of Information Technology | Delhi | 3.6 Lakh |
| DYPatil International University | Pune | 2.1 Lakh |
| Sharda University | Noida | 1.8 Lakh |
| Sage University | Indore | 1.25 Lakh |
| Galgotias University | Noida | 1.7 Lakh |
| Lovely Professional University | Phagwara | 1.96 Lakh |
| IIT Hyderabad | Hyderabad | 1.25 Lakh |
Engineering Predictors
Engineering predictors refer to tools that use historical data and algorithms to estimate a student’s rank or chances of admission in engineering entrance exams like JEE Main or JEE Advanced, or to predict their likelihood of getting into specific engineering colleges based on their exam performance and other relevant factors.
We offer a range of valuable predictors to guide students through this crucial journey. Here are some of the Predictor that we provide,
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- JEE Advanced Rank Predictor
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Engineering Admission Consultant
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With our expertise, we provide personalized assistance at every step of the admission process. Whether it’s college selection, application support, or understanding the JoSAA Counselling procedure, we are here to ensure a smooth and hassle-free experience for aspiring engineers. Our Engineering Admission Consultant, also guide students for state level counseling.
Josaa Expert Counselling
Our expert counselling services cover JoSAA Counselling, CSAB Counselling, admission to top private engineering colleges, state-level counselling, and NRI counselling. Whether you aim for prestigious institutions like IITs and NITs or seek admissions in private colleges or state government engineering institutes, we are here to assist you at every step. Our experienced counsellors provide personalized guidance, ensuring you make informed decisions throughout the admission process. Here’re some of the details about JoSAA Expert Counsellings we offered;
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Frequently Asked Questions
1. What is B.Tech in Artificial Intelligence?
A. B.Tech in Artificial Intelligence is an undergraduate engineering program that focuses on the study and development of intelligent machines, algorithms, and systems that can perform tasks requiring human-like intelligence.
2. What are the eligibility criteria for B.Tech in Artificial Intelligence?
A. The typical eligibility criteria include completing 10+2 with a minimum aggregate score (usually around 50%) in science subjects (Physics, Chemistry, and Mathematics). However, specific requirements can vary among institutions.
3. How long is the B.Tech in Artificial Intelligence program?
A. B.Tech in Artificial Intelligence is a 4-year undergraduate degree program.
4. What subjects are covered in the B.Tech Artificial Intelligence curriculum?
A. The core subjects include artificial intelligence, neural networks, machine learning, pattern recognition, algorithms, and language processing. Elective subjects may include robotics, deep learning, automata, sensors, programming languages (Python, C, etc.), and database management.
5. What career opportunities are available after completing B.Tech in Artificial Intelligence?
A. Graduates can pursue various career paths, including machine learning engineer, data scientist, artificial intelligence researcher, natural language processing specialist, and robotics engineer. Industries such as healthcare, finance, automotive, and technology actively hire AI professionals.
6. Are there any entrance exams for admission to B.Tech in Artificial Intelligence?
A. Admission requirements vary, but some institutes may conduct entrance exams. For example, IITs in India might require candidates to clear the JEE (Joint Entrance Examination).
7. Is B.Tech in Artificial Intelligence a popular course in India?
A. Yes, B.Tech in Artificial Intelligence is gaining popularity in India as AI technologies are increasingly integrated into various industries and applications.
8. Can I pursue higher studies after B.Tech in Artificial Intelligence?
A. Yes, graduates can opt for master’s programs (M.Tech) or research degrees (Ph.D.) in fields related to artificial intelligence, machine learning, or computer science.
9. What is the average salary for B.Tech in Artificial Intelligence graduates?
A. Salaries can vary widely based on factors like experience, job role, and location. On average, fresh graduates may earn around INR 5 to 10 lakhs per annum in India. With experience and specialization, salaries can significantly increase.
10. What skills are important for success in B.Tech in Artificial Intelligence?
A. Key skills include programming, data analysis, problem-solving, machine learning, deep learning, natural language processing, and strong mathematical and analytical skills.