Artificial Intelligence is nothing but a piece of software that thinks and acts like human beings. AI aims to create an expert system that will mimic human activities.
AI has been a growing field in the last few years thanks to the advancements in big data, cloud computing, and hardware.

Some of the applications of AI include disease prediction, driverless cars, defaulter prediction, and precision agriculture. These applications demonstrate the practical utility of AI to solve real-world problems.

As per World Economic Forum’s report, more numbers of jobs in the future will be created in AI and allied fields and a smaller number of jobs in traditional areas.

So, it’s important that students and young professionals latch on to this fabulous opportunity.
Though AI is the headliner, the actual technology that drives AI is called machine learning. A more advanced form of machine learning is called deep learning. Machine learning and deep learning work by identifying patterns in the dataset and use the identified patterns to predict the future. This way of operating through pattern recognition is also called weak AI and weak AI is the dominant form of AI today.

The robots and humanoids we see in movies as examples of AI are too futuristic and this strong form of AI will take many years to fructify.
A key aspect of pattern recognition involves studying the relationships in data. This is achieved by understanding the math behind the dataset. So, a strong understanding of mathematics is essential for a successful career in AI. When I say math, I am referring to the application of math and not just the theoretical aspects of math.

The other aspect of AI involves gaining adequate knowledge in programming and the third aspect is domain knowledge. In programming, python is emerging as the top language of choice by industry.

So, AI is really at the intersection of math, programming, and domain knowledge. So, anyone wanting to build a career in AI should improve their knowledge in all three areas. A key challenge for learners is to get conceptual clarity about AI since many adjacent technologies like big data, cloud, and internet of things (IoT) are projected as AI.

Practice makes one perfect in any trade and nothing can replace the practical application of theory to enhance the understanding of the subject. So, we at edu NDI are imparting end to end knowledge that not only provides conceptual clarity but also offer greater learning through real-world projects.

Since AI is creating new jobs at a record pace, even experienced IT professionals can explore to change their careers to AI.