A specialization and understanding of the python language would enable you to build a promising career in artificial intelligence. Fields like machine learning and optical image recognition are exciting and have a huge prospect in the market scenario.
In the wake of the advancement of technology and digital platforms, career options are also on the rise. After graduation, one might wonder where to implement the particular skill sets that you have acquired over the years. A career in artificial intelligence is a good option, to get into the work world due to the increasing demand for AI in today's world.
Having a good grasp on coding skills, especially in Python and understanding the libraries and packages would help you to specialize in different fields such as Artificial Intelligence. Good command on the qualifications for artificial intelligence would enable you to work on optical pattern recognition, which is a whole industry all by itself. In this field of expertise, one might focus on many different aspects ranging from satellites all the way to self-driving cars, etc. Moreover, in addition to all these, there is machine learning as well, and that too is another aspect of AI, which can be applied in the field of natural image processing. There is a massive prospect of artificial intelligence in today's market and hence, sharpening your coding skills is likely to fetch you an opportunity in one of the fields mentioned above. The main reason being, there is a surplus of information and data in the digital world, and the scope of implementation of pattern recognition and prediction is relatively high. Using Python to code or build things and creating projects would only add to your repertoire of skill set. A specialization in this particular coding language would invariably get you into a big company or any startup companies.
So, in conclusion, sound theoretical knowledge and a specialization in the Python coding skills are essential to building a promising career in artificial intelligence. A.I. has a lot of, and many research works can be done on the unexplored territories, and this attribute makes it vital in the market scenario.