AIM course full form is Artificial Intelligence and Machine Learning. This program focuses on equipping students with the knowledge and skills necessary to design, develop, and implement AI and ML solutions across various industries. Given the rapid advancements in technology, AI and ML have become integral components in fields such as healthcare, finance, and information technology.
Course Overview
The Bachelor of Technology (B.Tech) in Artificial Intelligence and Machine Learning is typically a four-year undergraduate program divided into eight semesters. The curriculum is designed to provide a strong foundation in computer science principles, along with specialized courses in AI and ML. Key subjects include:
- Fundamentals of Artificial Intelligence: Introduction to AI concepts, history, and applications.
- Machine Learning Algorithms: Study of supervised, unsupervised, and reinforcement learning techniques.
- Data Structures and Algorithms: Understanding the organization and manipulation of data.
- Neural Networks and Deep Learning: Exploration of neural network architectures and deep learning models.
- Natural Language Processing: Techniques for processing and analyzing human language data.
- Computer Vision: Methods for enabling machines to interpret and process visual information.
The program also emphasizes practical experience through laboratory sessions, projects, internships, and seminars, ensuring that students gain hands-on expertise in developing AI and ML applications.
Eligibility Criteria
To enroll in the B.Tech in Artificial Intelligence and Machine Learning program, candidates must have completed their 10+2 education with a focus on Physics, Chemistry, and Mathematics. Admission is typically based on performance in national or state-level engineering entrance examinations, such as the Joint Entrance Examination (JEE) or other relevant tests, depending on the institution’s requirements
