GIET University, Gunupur (formerly known as Gandhi Institute of Engineering and Technology) was established by “Vidya Bharati Educational Trust,” Gunupur, Odisha, India in the year 1997. Since inception, the Trust promotes Technical Education in India with a motto of providing Quality Education in a highly disciplined and conducive environment with International Standards.
B. Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
The CB. Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) programme offers emerging engineers a magnificent array of courses dedicated to breakthroughs in the field of Artificial Intelligence and Machine Learning (AI&ML) with a foundation in Computer Science and Engineering. The full-time, four-year curriculum exposes students to hands-on technology in order to develop applications and solutions for the world we live in.
Technology is one of those fields that never ceases to evolve. It’s a fast-paced branch with a lot of new ideas and experimentation. The B.Tech. Computer Science and Engineering curriculum is cutting-edge, forward-thinking, and industry-ready. This curriculum includes a variety of courses in computation, such as algorithm design and analysis, computer programming languages, software design, and computer hardware.
This specialization will prepare students to create smart machines using a cutting-edge combination of AI and Data Science technologies such as Artificial Intelligence, Machine Learning, Data Science and Statistics, Big Data Analytics, Computer Vision, Business Intelligence, Deep Learning and Reinforce learning, Robotics, Predictive Analytics using R Swarm and Bio-inspired Intelligence, Robotic Process Automation, Genetic Algorithms, Fuzzy Logic and Systems, Natural Language Processing, and Natural Language Processing.
Essential concepts such as data structures, algorithms, OOPS ideas using Java, databases, software engineering, and design procedures are covered in this specialization. Students will also gain a thorough understanding of machine learning and artificial intelligence through solving real-world issues in a range of application domains, such as robotics, computer vision, natural language processing, and so on. Students will gain knowledge of the machine learning pipeline and data, models, algorithms, and empirical research.
Why AI and ML?
Artificial intelligence (AI) and machine learning (ML) are trendy topics in the computer industry. However, artificial intelligence (AI) has a greater impact on the economic sector than our daily lives. In 2014, around $300 million in venture capital was invested in AI firms, a 300 per cent increase over the previous year, according to Bloomberg.
AI can be found in a variety of places, from gaming consoles to the management of large amounts of data at work. Computer scientists and engineers are working hard to instill intelligent behaviour in machines, allowing them to think and respond in real-time. Google and Facebook, for example, have made significant investments in AI and machine learning and are actively incorporating it into their businesses.
But this is only the beginning; over the next few years, AI may find its way into one product after another.
The programme, B.Tech. CSE (Artificial Intelligence & Machine Learning) aims to:
B.tech. | Intake |
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B.Tech In Computer Science Engineering (AI & ML) INTAKE | 60 |
Graduates of the B.Tech. CSE (Artificial Intelligence & Machine Learning) programme will be able to: