As the name suggests, AI is to create a system which understands the human intelligence and helps to perform the tasks done by human beings.
AI has the potential to add US$957 billion, or 15 percent of India’s current gross value in 2035.
Traditional academia model followed by Indian education sector created more unemployment than opportunities in India
To stimulate the growth of a ‘ AI powered economy in the future” AI professionals have to be trained by a mentor who has hands on experience and is a part of the live AI projects to get updates from across the world from time to time .Bridging the Lack of collaboration between academia and the business is fulfilled.
An alternative training methodology of conducting training programmes delivered by a company from the industry that is followed by start-ups like Fostpro is highly appreciable.
The adoption of AI is presently being seen across numerous enterprises. From enormous banks like HDFC Bank to e-commerce business players like Pepperfry, AI is being utilized across industries.
An organisation like Swiggy is able to utilize ML to train its systems to recognize vegetarian and non-vegetarian dishes from pictorial representation
Why India has strong potential for AI?
- Strong IT sector
- Our Education system produce more Engineers, Mathematicians and Statisticians.
- India’s diversity in culture helps to develop stronger applications which will cater to the tastes, like and dislikes of the people.
- Millions of people involved in online transactions
- Hard core IT skills are not required to learn AI
- Larger population to study and develop ideal AI practices
Educational Requirements for Careers in Artificial Intelligence
Basic computer technology and math backgrounds form the backbone of most artificial intelligence programs. Entry level positions require at least a bachelor’s degree while positions entailing supervision, leadership or administrative roles frequently require master’s or doctoral degrees. Typical coursework involves study of:
- Various level of math including probability, statistics, algebra, calculus, logic and algorithms.
- Physics, engineering and robotics.
- Computer science, programming languages and coding.