B.E in CSE AI/ML
Overview
According to the World Economic Forum’s report, Al-enabled automation will generate 133 million new jobs globally by 2022. In India itself, as the government is encouraging digitalization, the demand for Al professionals is expected to reach a higher elevation. Al has the potential to add USO 957 Billion or 15% of India’s current gross value by the year 2035. Artificial Intelligence and machine learning have a bright and shining future in India. Indeed reports; the number of Al-related job opportunities outranked the number of searches for Al professional jobs. In Bangalore alone, the requirement for Artificial Intelligence professionals has across 4000 companies actively look for AI professionals as they help them develop Al-based solutions and products. If you are looking for a high-paying career in the tech sector, pursuing Al and machine learning.
Career Opportunities
With this degree, you can be :
- Analytics Manager
- Data scientist
- Research Scientist
- Machine Learning engineer
- Robotics Engineer
- Computer Vision engineer
Typical Course Content
The course spans over 4 years and the syllabus is divided into 8 semesters. The curriculum discusses the philosophy of Artificial Intelligence and Machine learning and how to represent a new problem as an Al problem. It describes a variety of models such as search, logic, Bayes nets, and MDPs, which can be used to model a new problem. It also educates many first algorithms to solve each formulation. The course prepares a student to take a variety of focused, advanced courses in various subfields of Al. A 4 years deep tech Al course that develops skills in building applications with Deep Learning, Computer Vision, NLP, Image & Speech Processing, for specialist Al job roles. Useful to transform the way industries work with Al, building and deployment of end-to-end Al models, and scale up successfully.
The AMC Difference
AMC offers carefully curated and updated degree courses keeping in mind the dynamic requirement of the market. Artificial Intelligence and machine learning is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. The objective of this course is to build up an essential comprehension of Artificial Intelligence and Machine Learning. It also helps students become acquainted with basic principles of Al towards critical thinking, induction, recognition, information portrayal, and learning. This course also helps students to understand how to apply Al principles in intelligent agents, expert systems, artificial neural networks, and other machine learning models.
