The New Frontiers in Gurgaon’s Engineering Education

Artificial Intelligence and Robotics: The New Frontiers in Gurgaon’s Engineering Education

26th Jun, 2024
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India is on the threshold of a new technology boom and Artificial intelligence is the core to this technology. Artificial Intelligence has become extremely critical to any organisation. Therefore pursuing this programme ensures extremely bright career prospects. B.Tech in Artificial Intelligence and Machine Learning is a four-year specialised degree programme offered to students seeking admission to a B Tech programme. This programme is transformative and practically manages our day-to-day activities to a large extent. 

Artificial Intelligence and Machine Learning are advancing at a very rapid rate and those unable to keep up the pace are going to be left behind. Therefore we cannot ignore these two important Technological subjects. Consequent to this several Government, Semi Government and Private players have jumped in and are now offering this as a Specialisation to students seeking admission to a B.Tech in Computer Science and Engineering Programme.  One such programme in the Higher Educational Category is The NorthCap University located in Gurugram, which has the infrastructure and technically qualified faculty members, to be listed as a Top University offering this program in Delhi/NCR. 

Many believe that this program is going to be a game-changer in the future. This programme B.Tech CSE with specialisation in Artificial Intelligence and Machine Learning enables the students to master the essential skills and equip them to be a part of the global workforce. A career in artificial intelligence and Machine learning has an application in a variety of fields including private companies, public organisations, education, healthcare facilities, government agencies, and the military.

Key Takeaways of Artificial Intelligence  and Machine Learning 

  • The main educational objectives of this programme are the technical and analytical skills it ingrains in the students to develop innovative solutions to complex real-life problems using existing and novel technologies.
  • Students gain communication & interpersonal skills, multidisciplinary teamwork, and leadership skills to enable them to fulfil professional responsibilities.
  • Students also get exposed to contemporary issues which will enable them to become ethical and responsible towards themselves, co-workers, Society, and the Nation
  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation to the solution of complex engineering problems.
  • Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using the first principles of mathematics, nature, and engineering sciences.
  • Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet a specific requirement with appropriate consideration for public health and safety and cultural, societal, and environmental considerations.
  • Conduct investigations for complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

Some New Learnings from this Programme which is New Frontiers 

  • To Understand and implement search and adversarial (game) algorithms
  • To formulate mathematical models such as belief networks and Markov decision methods in data-driven decision-making.
  • To explore supervised, unsupervised, and reinforcement learning and apply them to a range of AI problems.
  • To understand the probabilistic foundations and learning algorithms for deep neural network models.
  • To learn and implement the basic methodologies and tools in robotics research and applications
  • To explore the fundamental concepts of NLP and its role in current and emerging technologies.

Conclusion

When you learn Artificial Intelligence and Machine Learning, you open up a Pandora’s Box for yourself which offers endless possibilities from advanced robotics to highly personalised medicine. These subjects have revolutionised industries in a manner that drives impactful technologies to solve real-life problems in no time.

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