Artificial Intelligence is the buzzword, and there is a lot of scope in this area for another 10 years and more. This means it is good to take up an Artificial intelligence online course to go with the flow and find a great career opportunity. Having said that, you must understand what is required to become an Artificial Intelligence Engineer. There are a few skills you need to possess, and others can be obtained in training.
You must first understand all that is required to become an AI engineer. We have listed each skill and elaborated on why it is required and how to attain those skills. It is important to plan things to have a smooth start or transition in an AI career. It cannot happen overnight as it requires several skills to be attained, which can be achieved with proper planning.
1. Professional skills
We are aware that AI is nothing but making a machine perform like a human. This could be ranging from processing an image, recognizing the speech, or even more than that. It is building a machine that could perform all that a human can perform. To achieve this, one must possess some professional education as the understanding of computers is a must.
Thus it is good to have a professional degree in science, computers, etc. It is a must to think about either starting as an AI engineer or planning to transition midway through the career. With this basic qualification, you can be sure of your analytical ability and problem-solving skill to undergo an AI online course to master the art of designing a machine to copy human behavior.
However, education is not a mandatory skill if you can understand computers, applied math, and algorithms. Also, having great analytical skills and solving problems are the key qualifications to start your journey in the AI domain. Additionally, you must understand AI models for which you need to know statistics and probability to develop complex algorithms.
2. Programming skills
When it comes to programming ability, it is good to know object-oriented programming languages like C, C++, or Java. In recent years, functional programming languages like R programming also added value when analyzing and manipulating data statistically. Python is the language dominating the AI domain as it supports all concepts of OOP, but the codes can be written easily without creating classes. Thus you must know how to code using both OOP languages along with any other language.
Most AI training will cover Python due to its standard AI library with intuitive syntax, data structures, and basic control flow. It enables interpretive runtime without any need for standard compiler languages making it very beneficial in prototyping algorithms for AI.
3. Distributed computing and Unix tools
AI jobs predominantly will require experts to handle data sets from multiple machines. Hence it is good to understand distributed computing to fetch data from machines distributed across. Also, AI processing happens on Linux machines, and thus different Unix tools like find, sort, grep should be mastered by the programmers.
Linux machines can handle the load as machine learning leads with a large volume of data sets. Also, Linux offers lower resource utilization and makes it flexible. There are several features offered in Linux and thus enhance the working easiness. However, one needs to learn the Linux system working to effectively use it in artificial intelligence hence a professional training is recommended.
4. Signal processing
With proper education, ability to code, and understanding of distributed computing, you must now learn to process signals. Machine learning’s integral aspect is to extract features, and for the same, you must be aware of different signal processing algorithms, namely curvelets, contourlets, wavelets, etc. Also, you must know Fourier analysis and convolution as the brain of every DSP expert. You need not be a DSP engineer but can acquire these skills if you learn AI online.
5. Personal skills
Till now you saw about the skills that can be obtained via training and education. The skills discussed here cannot be taught, but, yes, possible to train the brain. Those are curiosity, creativity, the ability to think out of the box, staying ahead by grasping the latest concepts, thinking ability, and perseverance. All these are the skills required to reach the final step and become an AI engineer. While technical aspects can be learned via training but these are some skills that must be innate to bring the AI engineer in you.
The last step to become an artificial engineer
By this time, you have got an idea about what is required to become an artificial engineer. Yes, in summary, it requires professional qualification, programming skills, computing ability, signal processing techniques, and other personal traits. In contrast, all these can be acquired not overnight but in due course of time. All you need to do is register for a PG in an artificial intelligence course with Great learning. The course will cover topics including Python, Machine Learning, Deep Learning, and Neural Networks. Further, you can work on projects to help the industry experts master everything about the AI domain end to end.