Quote from Habeeb on November 14, 2022, 4:19 pm

With the recent trend of artificial intelligence and with the fact that we want to be part of the contributors but find it so arduous to start the trip as a result of hefty information online. Here is an intro of how the field looks like:

Artificial intelligence has a lot of branches which include robotics vision, machine learning, deep learning, natural language processing, robotics system and many more. All these branches find their application in the field of clean energy, the health sector, education and agriculture.

As a robotics vision engineer, you work primarily on image datasets which you can start by using openCV to achieve some image processing techniques on image data, after that explore deep learning with a focus on how you can use CNN to work on those images to achieve greater accuracy. In the area of deployment, chose either to be an AI software engineer or an AI hardware engineer. Robotics vision finds its application in the medical field, agriculture, the petrochemical industry and many more...

 

Machine learning engineer: Here, you work on numerical datasets which can be applied in clean energy, medical sectors, agriculture and many field in as much as the input dataset is numerical. A bit of ANN deep neural network will be a great advantage in achieving high accuracy.

NLP Engineer: NLP is a limb of AI that deals with how machine hears, understand and speak. It finds its application in Chatbot design, speaking bot and many more.

As someone dreaming of becoming an Artificial intelligence expert will focus on learning programming language related to his or her chosen field.

There has been controversy on which programming language to start with, well, the most common language in the field of AI is Python and MATLAB. They are both high-level programming languages with similar program structures with little difference.

In the future, we will address those differences and similarities.