About this course
This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies.
The main goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem.
This programme discusses AI methods based in different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions.
In Artificial Intelligence & Machine Learning (AI & ML) is an undergraduate programme in the cutting-edge technologies of AI & ML. The programme provides advance inputs like deep learning, computer vision, expert systems and neural networks. This specialization is designed to build expertise in intelligent machines, natural language processing and applications in cyber physical systems.
This programme cover AI methodologies based in different fields, including Algorithms for intelligent system, natural language parsing, knowledge engineering and predictive analytics control in order to present a unified treatment of machine learning problems and solutions.
WHY AI AND ML?
AI and ML is a hot topic in the tech industry. Perhaps more than our daily lives Artificial Intelligence (AI) is impacting the business world more.
According to a new report by CB Insights’ technology insights platform, the second quarter of 2019 saw a record of $7.4 billion invested in AI startups, with the majority going to transportation and health care-related companies. The data, which tracks capital received between 2013 and 2019, also shows that seed funding is still going strong.
AI is everywhere, from gaming stations to maintaining complex information at work. Computer Engineers and Scientists are working hard to impart intelligent behavior in the machines making them think and respond to real-time situations.
Tech giants like Google and Facebook have placed huge bets on AI and ML and are already using it in their products.
But this is just the beginning, over the next few years, we may see AI steadily glide into one product after another.
· High Market Acceptance
· Higher Studies: Students are also highly accepted by foreign Universities for Higher Education.
· High Demand: For professionals in this domain for Software Developer, Consultancy, Business Analysist, Data Scientist, AI developer etc. also demand for skills among Automation industry players.
12th Science Stream (Physics + Chemistry + Maths Group)