About Computer Science and Engineering (Artificial Intelligence and Machine Learning)

Computer science engineering in artificial intelligence and machine language is a specialized course where students learn to write specific codes for any particular machine. These codes work as a guideline for these machines in performing these tasks with minimal human interaction. This shows how this course is designed to increase human comfort. To write these codes, a student must know the programming languages in which these are to be written, for example, Java, Python, Prolog, etc. which means that the focus of this course is to teach students the programming languages that can help them in making the workings of machines even more efficient. Anyone can notice that with the advent of the internet and have the world is going even more digitized the role of devices in various purposes from production to everyday life has been increasing tremendously but choose how this feed I have the potential to be among the top-rated courses in engineering and how students from this field will be hugely important wherever they work. We highly recommend this course for a student's career prospects to boom tremendously.

What is Computer Science and Engineering (Artificial Intelligence and Machine Learning)?

This course revolves around the programming of machines so that human interference can be reduced and they can do as much work as possible on their own. For this to happen, students must learn about the various programming languages that will help them complete their work.  Students of this course are also taught subtopics like Representation of knowledge, display of probabilistic and statistical methods, reasoning etc. These students also learn about Deep learning, simulation, augmented reality working of the internet etc. This course will equip the students with various skills required of them in their professional lives, such as knowledge of computer programming, the experience of data science, statistical learning, data modelling etc. By the end of this course, we believe the students will be well prepared to handle the challenges of the corporate world and develop innovative solutions to multiple world problems. The curriculum for this course is as follows: Mathematics, Physics, programming in C, Big data, Open source, Data structures, IT, cloud computing, basic electronics etc., in the first few semesters. After this, students will be taught computer system architecture, web technologies, design and algorithm analysis, programming in python, communication and computer networks, Operating Systems, Java Script, Database management, Mobile Application, Intelligent system algorithm, etc., this course.

Eligibility and Career Computer Science and Engineering (Artificial Intelligence and Machine Learning)

For this course, a student should at least complete their Class 10+2 level with Physics and Mathematics as their core subjects with different aggregates depending on the institution a student is applying to. For an MTech in this field, a student should complete theirs Under Graduate degree with at least 50% aggregate in their Undergraduate course. Graduates of this course can get employed in various fields such as Artificial Intelligence agencies, Robotics, Data agencies, Research agencies, and various other private or public enterprises. The job profiles available to these students are – Machine learning Engineer, Data Architect, AI architect, Research Engineer, AI engineer, Data consultant etc.