Sreyas - Artificial Intelligence and Machine Learning

CSE AI and ML Department

ai & ml

 

 

B.Tech in CSE (Artificial Intelligence and Machine Learning)

The 4-year B.Tech program in Artificial Intelligence and Machine Learning (AIML) focuses on complex inputs and outputs that are used to make decisions or enhance human capabilities.

The Artificial Intelligence degree offers courses that span across computer science, AI/machine learning, mathematics/statistics, computational modeling skills, domain knowledge and neural networks. The AIML degree will prepare students to stand out in one of the world’s fastest-growing careers.

Graduate of B.Tech in CSE (AIML) will acquire computer science skills with the added expertise in artificial intelligence and machine learning to work across many sectors, including medicine, finance, robotics, and business intelligence.

  • Artificial intelligence engineer
  • Software developer
  • Robotics Programmer
  • Data Analyst

Popular employers include: Google, Facebook, Amazon, IBM, Intel, Samsung, NVIDIA, RBS, JP Morgan, Citigroup.

The program and its curriculum focus on how complex inputs — such as vision, language and huge databases — can be used to make decisions or enhance human capabilities. The curriculum includes coursework in computer science, math, statistics, computational modeling, machine learning and symbolic computation.

In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding where AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science, software engineering and operations research.

Machine Learning is a subset of artificial intelligence closely related to computational statistics which focuses on making predictions using computers. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.

It’s time to learn the future technology!

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