Artificial Intelligence: Artificial Intelligence will fast replace the need for software engineers. AI is expected to replace many jobs and one being that of a legacy software engineer. However, AI needs to be engineered and there is a need for professionals who understand AI and its prowess and are capable of making machines intelligent. AI itself requires experts to develop platforms and engines which will assist the business world in analysing data to make intelligent decisions.
For companies and corporates, it is difficult to find someone who can build scalable applications. For research laboratories, it is difficult to find someone who can do research in AI. Hence, for any enterprise, it is extremely difficult to find someone who can do both.
That is what M.Tech in Artificial Intelligence trains you to do: Conduct research, stretch the algorithm capacity and then apply it in a real-world scenario and build a product. Our programme is designed to enable students to understand the complexities of AI along with the skills to apply the principles in practice.
Expert faculty members guide students to develop applications using evolutionary and genetic algorithms, cellular automata, artificial neural networks, agent-based models, and other artificial intelligence methodologies.
By the end of this 2-year programme, students will have transformed into professionals who are adept in the fields of machine learning, artificial intelligence, information retrieval, and data mining.
120 Credits Minimum
WHO SHOULD BE APPLYING FOR THE PROGRAM?
Students with Engineering or Computer Applications background with Mathematics & Statistics courses during the bachelor’s programme who are interested in engineering and Artificial Intelligence viz. machines and processes that work without human intervention.
Premium Master’s Program in AI offered in collaboration with INSOFE
World Class AI Curriculum taught by expert faculty.
Focus on Programming, Projects, Bootcamps and Applications.
Choice of Electives from Management, Design & Law Schools
Thesis in cutting edge area under the guidance of an experienced scholar.
Learning concepts of Math, Statistics and Computer Science which are the core of AI.
Using sensors, actuators and transducers to transfer intelligence into machines for autonomous operation.
Learning to programme machines to learn on the go.
Learning application of AI in robotics, autonomous vehicles and process automation for more accurate and efficient delivery of output.
Learning application of AI for problem-solving in various domains such as Law, Design, Healthcare, Manufacturing, Finance, Retail, etc.
Natural Language Processing Engineer
Chief Intelligence Officer
Chief Digital Officer
Chief Executive Officer