AIM course Full form is Artificial Intelligence as well as Machine Learning. The program is focused on providing students with the skills and abilities required to create the, create, and implement AI as well as ML solutions across a variety of sectors. Due to the rapid development of technologies, AI and ML have become essential components in areas like finance, healthcare and information technology.
Course Overview
The Bachelor of Technology (B.Tech) in Artificial Intelligence and Machine Learning is usually an four-year undergraduate degree that is divided by eight terms. The program is designed to give students a an excellent foundation in the field of computer science, with specific classes related to AI as well as ML. The main subjects are:
- Basics of Artificial Intelligence: An introduction to AI concepts, theories and their applications.
- Machine Learning Algorithms study of supervised, unsupervised and reinforcement-learning techniques.
- Data Structures, and Algorithms Understanding the structure as well as manipulation of information.
- Neural Networks, and Deep Learning: Exploration of neural network architectures as well as deep learning algorithms.
- Natural Language Processing Methods of analysis and processing of the human-language data.
- Computer Vision: Methods to allow machines to process and interpret visual information.
The curriculum also emphasizes hands-on experiences through lab classes and internships, as well as projects and seminars, which ensure that students acquire hands-on experience in the development of AI or ML applications.
Eligibility Criteria
To be eligible for the B.Tech in Artificial Intelligence and Machine Learning program, candidates must be able to complete the 10-plus2 schooling with a particular focus on Chemistry, Physics, and Mathematical. Admission is usually dependent on the performance of the national or state-level engineering entrance exams, for example, the Joint Entrance Examination (JEE) or other relevant tests, based on the requirements of the institution.
