What is artificial intelligence?

In today’s era, where technology is expanding exponentially artificial intelligence is the next big sensation. We know that we are already dependent on machines for almost every task but it’s time that we start socializing with them too. Now, what exactly is artificial intelligence?

It is a branch of computer science that enables machines to perform tasks that normally require human efforts or intelligence based on past data and actions. AI is not here to replace humans instead it will create more jobs. According to the Gartner report, AI will create 2.3 million jobs by the end of 2020, while eliminating 1.8 Million leading to a net gain of 500,000 potentially new jobs. And in the world struck by a pandemic job opportunities for people engaged in artificial intelligence will see a sharp rise.

Read more: https://www.gartner.com/en/newsroom/press-releases/2017-12-13-gartner-says-by-2020-artificial-intelligence-will-create-more-jobs-than-it-eliminates

Who is an artificial intelligence engineer?

AI Engineers are people who are engaged in creating, testing, and implementing AI models in different sectors such as Retail, Healthcare, Manufacturing, and Automotive, etc along with the handling of the AI infrastructure.

How to become an AI Engineer?

There are a few prerequisites that you need to meet and a few AI Engineering Skills that you have to learn to become an AI Engineer. We have listed everything below:

To be an AI engineer one needs to have a Bachelor’s Degree first. It can be in the following subjects:

• Computer Science
• Mathematics
• Information Technology
• Finance/economics/statistics

 The next thing comes the technical aspect, not only programming but one also needs to have a strong grip at Software Development techniques and practices. Few areas in which you need expertise are:

• Software Development Life Cycle
• Modularity, OOPS, Classes
• Design Patterns
• Statistics and Mathematics
• Machine Learning
• Deep Learning & Neural Networks
• Electronics, Robotics, and Instrumentation

To become a Successful Artificial Intelligence Engineer one needs some business and analytical skills as well like:

• Analytic Problem-Solving
• Effective Communication
• Creative Thinking
• Industry Knowledge

After covering the above-mentioned skills you can either go for a masters’ degree in Data Science, Machine Learning, or Computer Science or you can have industry certifications in these areas.

One also needs to have a solid foundation in Programming Languages like (R/Java/Python/C++).

Algorithms and Applied Mathematics

A solid understanding of applied mathematics to work on different algorithms is a must. Areas, where it can be used, are:

• Quadratic programming
• Partial differential equations
• Gradient descent
• Lagrange
• Convex Optimization, etc.

Natural Language Processing

As an AI Engineer, you have to work extensively on NLP, Natural Language Processing, which involves language, audio, and video processing by using various NLP libraries and tools, including:

• NTLK
• Sentiment Analytics
• Gensim
• TextBlob
• CoreNLP
• PyNLPI, etc.

What do AI Engineers Do?

AI Engineers in general:

• Study and transform Data Science Prototypes
• Develop Machine Learning Apps and AI Tools
• Work with a team of Electric Engineers and Robotics engineers
• Work on different Datasets and Data Representation Methods
• Indulge in Machine Learning / AI Tests and Experiments
• Train and retrain systems

To keep up with the changing trends in engineering, IPEC, the top engineering college of Ghaziabad has introduced a new course Computer Science & Engineering (Specialization in Artificial Intelligence & Machine Learning). To register visit https://apply.ipec.org.in/.