Artificial Intelligence

Program Information

Artificial Intelligence is a branch of computer science that deals with the simulation of the human cognition, intelligence, and neural system in the design and implementation of computer algorithms.

By opting for this course, Al programming aspirants will be well-equipped in a wide range of areas like Natural Language Processing (NLP), Artificial Neural Networks (ANN), Data Science, Heuristics, Vectors, Machine Learning, Deep Learning, etc. Our institution pioneers in providing progressive and research-based training in machine learning models, logic constraint satisfaction problems, probabilistic models, Bayesian networking, Computer Science, Cognitive Science Theory Engineering, Machine Translation, Physics, Robotics, and Autonomous Agents, Algebra, Calculus, Logic and Algorithms, Probability, and Statistics.

The curriculum is carefully designed to offer a comprehensive, competitive, and structured learning of the programming languages, tools, techniques, technologies, and baseline concepts that underscore the use of predictive analytics in real-time decision-making and problem-solving. Our institution offers a 360-degree learning experience to our students making them career-ready with the help of our experienced faculty who are specialists in their discipline. Students can map their learned competencies to practical applications in the real world through the master's project and dissertation. The students are offered the flexibility of choosing ancillary courses like 3D Graphics and Animation, Advanced Interaction Design, Big Data Management, Computer Games Programming, and Intelligent Robotics in addition to the core subjects.

Considering the influence of Al in fields ranging from healthcare to spacecraft control today, our institution aims at blending the fundamental know-how and practical skills incapacitating students to design, build, and apply Al systems in different frontiers of Data Mining, human cognitive functioning, Robotics and autonomous agents, Pattern Recognition, reinforcement learning, and more.

Entry Requirements

● Computer Engineers

● Software Developers

● Programmers and data analysts

● Students holding relevant computer science bachelor's degree

Benefits Of Study

Covers the mathematical and heuristic aspects of computational and cognitive engineering along with tools and hands-on skills that have an increasing global demand.

Empowers students to utilize neural networks and multi-layer data abstraction in practical and predictive problem-solving by delving into specializations

This course will help students pursue exciting and well-paid career opportunities overseas along with leadership roles and recognition in high profile tech organizations.

Helps master and comprehend advanced topics such as convolutional neural networks that are in high demand in various industries globally.

Careers And Trends

There are endless career opportunities in government and private sectors across the globe for Al professionals. Niche domains like insurance, healthcare, E-commerce, security, logistics, retail, manufacturing, space technology, etc. use different branches of Al for planning and operations.

● Machine Learning Researcher/Engineer Defense Intelligence Robotics Programmer

● Data Mining Analyst

● R&D Engineer

● Business Intelligence Developer Computer Vision Engineer

● Data Scientist