Computer Science and Engineering (Artificial Intelligence and Machine Learning)
B.Tech – Computer Science and Engineering (Artificial Intelligence and Machine Learning)
| Course | Duration | Affiliation | Approvals | Intake |
|---|---|---|---|---|
| Computer Science (AI & ML) | 4 Years | Dr. A.P.J. Abdul Kalam Technical University | AICTE | 60 |
Artificial Intelligence (AI) and Machine Learning makes it possible for machines to learn from experience adjust to new inputs and perform human-like tasks. These are the front runners in today’s job oriented learning. Around 40 billion dollars were spent by companies to develop AI applications all over the globe and 75% of Indian companies have a shortage of skilled professionals in AI and machine learning.
B.Tech in Artificial Intelligence and Machine Learning intends to foster a solid establishment by utilizing the standards and innovations that comprise numerous features of Artificial Intelligence including rationale, information portrayal, probabilistic models, and AI. This course is most appropriate for undergraduates trying to fabricate top-notch skills in Artificial Intelligence and Machine Learning and arising advances that help to remain in the group and develop vocations in the forthcoming era.
The program shall enhance the skill set of the aspirant and make him/her eligible for the current as well as forthcoming job opportunities. Students with the power of Artificial Intelligence can not only be job seekers but also creators by researching through exploratory domains of reinforcement learning.
Benefits to the students of the program
- To be able to discuss the core concepts and algorithms of advanced AI, and Machine Learning and Statistical Models like informed searching, CSP, logic, uncertain knowledge and reasoning, K-Means, Dynamic Bayesian networks, graphical models, decision making, multi-agent, inductive learning, statistical learning, reinforcement learning, deep learning, natural language processing, robotics, and so on.
- To enhance the power of interpretation of real-world through a simulated vision. This empowers the learner to forecast and predict the unseen problems and develop their solutions with the informed knowledge of the core concept of machine learning.
- With the wide range of areas, for example from education to defence, relying on artificial intelligence. A student with the skill set of supervised, unsupervised and reinforced learning can analyse existing data and transforms it into knowledge, and provides actionable insights to market demands and current business situations.
