Wardhaman College of Science and Technology BTech in Artificial Intelligence Admission 2024-25, Ranking, Check Previous Years Cutoff and Category-wise Cutoff, Faculties

B.Tech. Artificial intelligence,Highlights, Entrance Exam, admission, Eligibility, Duration, Selection Criteria, How to Apply, Application Form, Application Process, fee, Syllabus,Salary and Jobs,career opportunities

B.Tech. in Artificial Intelligence is a four-year undergraduate degree program that focuses on the theory and practical applications of AI technologies. The program covers various aspects of artificial intelligence, including machine learning, data science, computer vision, natural language processing, robotics, and more.

Foundation in Computer Science: Students typically start with a strong foundation in computer science principles, including programming languages, algorithms, data structures, and software development.

Mathematics and Statistics: Understanding AI often requires a solid grasp of mathematics and statistics, including linear algebra, calculus, probability, and statistics, as they form the basis for machine learning algorithms and AI models.

Machine Learning and Deep Learning: Courses cover topics related to machine learning Techniques, neural networks, deep learning, reinforcement learning, natural language processing, computer vision, and pattern recognition.

Data Science: Data is crucial in AI applications. Students learn about data collection, preprocessing, feature engineering, and how to work with large datasets. They also gain expertise in data analysis and visualization.

AI Applications and Ethical Considerations: Students explore various applications of AI across industries such as healthcare, finance, robotics, gaming, and more. They also discuss ethical considerations, bias in AI, and societal impacts of AI Technology.

Projects and Practical Experience: Practical implementation and hands-on projects are integral parts of the curriculum. Students work on real-world problems, developing AI systems, and gaining practical experience in using AI tools and frameworks.

Electives and Specializations: Some programs offer elective courses or specializations, allowing students to focus on specific areas within AI, such as natural language processing, computer vision, robotics, or autonomous systems.

Internships and Industry Collaboration: Many B.Tech. AI programs encourage or require internships or industry collaborations, providing students with opportunities to apply their knowledge in real-world settings and gain industry exposure.

Research Opportunities: Some programs may offer research opportunities, allowing students to engage in AI-related research projects alongside faculty members or within research labs.

Here are some highlights of the B.Tech. in Artificial Intelligence program:

The program duration is four years.

B.Tech. Artificial intelligence The eligibility

criteria for admission may vary from institution to institution, but generally, candidates must have passed the 10+2 examination with at least 50% marks in the science stream with Mathematics as one of the subjects.

Most institutions offering B.Tech. in Artificial Intelligence require candidates to clear entrance exams such as JEE Main, JEE Advanced, or other state-level engineering entrance exams.

B.Tech. Artificial intelligence The selection criteria

for admission may vary from institution to institution, but generally, it is based on the candidate's performance in the entrance exam and the qualifying examination.

B.Tech. Artificial intelligence The application process

for B.Tech. in Artificial Intelligence involves filling up an online application form and submitting it along with the application fee.

The program fee may vary depending on the institution, but generally, it ranges between INR 3-5 lakhs per annum.

B.Tech. Artificial Intelligence Syllabus:

Foundation Courses:

• Mathematics for AI
• Physics for AI
• Introduction to Programming
• Basics of Computer Science

Core Computer Science Subjects:

• Data Structures and Algorithms
• Object-Oriented Programming
• Computer Organization and Architecture
• Database Management Systems
• Operating Systems
• Software Engineering Principles

Mathematics and Statistics:

• Linear Algebra
• Probability and Statistics
• Calculus
• Discrete Mathematics

Artificial Intelligence and Machine Learning:

• Introduction to Artificial Intelligence
• Machine Learning Fundamentals
• Deep Learning and Neural Networks
• Natural Language Processing (NLP)
• Computer Vision
• Reinforcement Learning
• Evolutionary Computing

Data Science and Big Data:

• Data Mining and Warehousing
• Big Data Analytics
• Data Preprocessing and Feature Engineering
• Predictive Analytics
• Cloud Computing

Robotics and Autonomous Systems:

• Robotics Fundamentals
• Control Systems
• Sensing and Perception
• Robot Kinematics and Dynamics

Ethical and Social Implications of AI:

• AI Ethics and Responsible AI Practices
• Legal and Ethical Issues in AI
• AI and Society

Capstone Projects and Practical Work:

• Real-world projects applying AI Techniques
• Internships or industrial training
• Seminars and workshops on AI applications

B.Tech. Artificial intelligence The average salary

for B.Tech. in Artificial Intelligence graduates in India is around INR 6-8 lakhs per annum, but it may vary depending on the job profile and the organization.

B.Tech. Artificial intelligence Career opportunities

for B.Tech. in Artificial Intelligence graduates include roles such as AI Engineer, Data Scientist, Machine Learning Engineer, Robotics Engineer, Natural Language Processing Engineer, and more. Industries like IT, healthcare, finance, and e-commerce are some of the major recruiters.

In conclusion, B.Tech. in Artificial Intelligence is an exciting program that provides students with the knowledge and skills required to excel in the rapidly growing field of artificial intelligence.

B.Tech. Artificial Intelligence is a undergraduate Information Technology Management program. An artificial consciousness is a field that spotlights fundamentally on advancement and comprehension of wise computational procedures to serve both making helpful antiquities and improving the comprehension of human knowledge. The graduate degree program in Artificial Intelligence plans graduate understudies to apply astute PC frameworks to an assortment of utilizations. The program trains understudies from an assortment of foundations – including building, sciences, financial matters, the executives, brain science, and etymology – in all subject matters based on innovation, psychological science, and their applications. 

Qualification 

• The base capability required for induction into this course is passed in 12th standard/identical assessment, with at any rate 55 percent in any subjects. The state loads up of specialized instruction of the vast majority of the states in India direct passageway tests for admission to the confirmation programs offered by different polytechnics in the state.

Job Types 

• Application Developer 
• Data Analyst 
• Web designer 
• Learning and Information Manager 
• Programming Developer 
• Website specialist

B.Tech. Artificial Intelligence FAQ Answer with Question:

Q: What is B.Tech. in Artificial Intelligence?

A: B.Tech. in Artificial Intelligence is an undergraduate engineering program that focuses on the interdisciplinary field of AI, integrating computer science, machine learning, data science, and related domains to equip students with skills in developing, implementing, and utilizing AI Technologies.

Q: What are the eligibility criteria for B.Tech. in Artificial Intelligence?

A: Generally, candidates need to have completed their higher secondary education (10+2) with a strong background in science stream subjects like Physics, Chemistry, and Mathematics. Additionally, meeting specific entrance exam requirements set by the respective universities or colleges is often necessary.

Q: What are the career opportunities after completing a B.Tech. in Artificial Intelligence?

A: Graduates can explore diverse career paths such as AI engineer, machine learning engineer, data scientist, AI researcher, robotics engineer, among others. Opportunities exist across industries including Technology, healthcare, finance, and more.

Q: What subjects or topics are covered in the B.Tech. Artificial Intelligence curriculum?

A: The curriculum typically includes subjects like machine learning, deep learning, data science, mathematics, programming, robotics, natural language processing, ethics in AI, and various core computer science courses.

Q: Which are some top colleges in India offering B.Tech. in Artificial Intelligence?

A: Some renowned institutions offering B.Tech. AI programs in India include Indian Institute of Technology (IIT) Hyderabad, Indian Institute of Information Technology (IIIT) Hyderabad, SRM Institute of Science and Technology, VIT Vellore, among others.

Q: What is the admission process for B.Tech. in Artificial Intelligence?

A: The admission process typically involves meeting eligibility criteria, appearing for entrance examinations (such as JEE, BITSAT, or institution-specific exams), submitting applications, and potentially undergoing further rounds like interviews or counseling for seat allocation.

Q: What are the key skills gained from pursuing a B.Tech. in Artificial Intelligence?

A: Students develop skills in programming, data analysis, problem-solving, machine learning algorithms, critical thinking, and an understanding of ethical considerations related to AI Technologies. These skills are crucial for success in AI-related careers.