Launch your career with our Engineering program. Experienced faculty, hands-on learning, and industry connections.
1. Curriculum: The curriculum of B.Tech CSE (Hons) with a specialization in Artificial Intelligence and Machine Learning covers fundamental topics in computer science such as programming, algorithms, data structures, database management, computer networks, and operating systems. Additionally, it includes specialized courses such as artificial intelligence, machine learning, deep learning, natural language processing, computer vision, data mining, and big data analytics. Students learn how to design and develop intelligent systems and applications, as well as how to work with large datasets, create predictive models, and implement algorithms using programming languages like Python, Java, and R.
2. Specialization: The program offers a specialization in artificial intelligence and machine learning, which focuses on the development and implementation of AI and ML techniques to solve real-world problems. Students will learn about data mining, natural language processing, deep learning, computer vision, and other AI and ML techniques.
3. Practical training: The program offers practical training in the form of internships, projects, and industry collaborations. Students will have the opportunity to work on real-world projects, which will help them gain hands-on experience in the field.
4. Research opportunities: The program also provides research opportunities for students who are interested in pursuing a research career. Students can work on research projects with faculty members and industry experts and can also pursue a Ph.D. in the field.
5. Industry demand: With the increasing use of AI and ML in various industries, there is a high demand for professionals with skills in these areas. Graduates of the program are in high demand and can expect to receive attractive job offers from leading companies.
Here are some job roles in the field of Artificial Intelligence and Machine Learning:
1. Machine Learning Engineer – Responsible for developing and maintaining the machine learning infrastructure and implementing models.
2. Data Scientist – Analysing large and complex datasets using statistical methods and machine learning algorithms.
3. Artificial Intelligence Specialist – Developing and implementing AI solutions that meet the requirements of an organization’s business goals.
4. Natural Language Processing (NLP) Engineer – Developing and implementing NLP models and algorithms for applications like chatbots and virtual assistants.
5. Computer Vision Engineer – Designing and developing computer vision systems and algorithms that enable machines to interpret and understand visual data like images and videos.
The application process at Graphic Era is strictly based on the Merit of the qualifying examination with the entire Admission Process available for completion online