Computer Science & Engineering (Artificial Intelligence & Machine Learning)
Department of Computer Science & Engineering (Artificial Intelligence & Machine Learning)
Artificial Intelligence (AI) and Machine Learning (ML) make 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 the 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 defense, relying on artificial intelligence. A student with the skill set of supervised, unsupervised, and reinforced learning can analyze existing data and transforms it into knowledge and provides actionable insights to market demands and current business situations.
Why Choose BBDNITM B.Tech Computer Science & Engineering (Artificial Intelligence & Machine Learning)?
BBD’s learning is based on three basic pillars:
At BBDITM, we believe in experiential learning. Implement your theoretical knowledge in a practical AI setting after gaining a strong foundation in the fundamentals of Computer Science. Whatever your career goals might be, work your way to achieve them seamlessly with this program.
Applied Academic Methodology:
With an applied academic methodology, we make our students understand and use Computer Science theory. Industry best practices and practical projects are used to bring the first world experience of Computer Science and Engineering (Artificial Intelligence & Machine Learning) to our campus.
High Level of Industry-Academia Interface:
We at BBD believe that a student is like a blank sheet of paper until the student is exposed to Real-World Scenarios. We have Special Cells exposing students in the field of the latest technology industries.
Henceforth, the students have the opportunity to be updated with the skills needed in the present world technological ecosystem with AI industry exposure, and expert sessions.