Skills Required To Become an AI Engineer

AI is a buzzword in today’s world. AI has use cases in almost all industries. It is expected to generate as many jobs as there are in the IT sector. AI engineers’ average salary starting salary in India is 1 lakh per month and even goes up to 12 lakh per month. Top AI skills are machine learning engineer, robotic scientist, data scientist and research scientist. AI is a new-age technology and many investors are ploughing money into this sector. Most of the jobs are going to be generated in this sector so learn and ace the skills.  Apex University has AI culture and their B.Tech AI course comprehensively covers this new-age technology. Apex University, Jaipur got direct campus placements in top companies like Wipro, TCS, Tech Mahindra, Genpact, HCL Technologies and more. Below are some of the skills that you can acquire to become job-ready :

Coding Skills: 

You need to be really good at Coding before you go for advanced stuff such as AI. Just pick up any one programming language from C, C++ or Java. You have to do a lot of practice in Coding. All machine engineers have a background in Coding. You have to hassle with many complex problem statements. Even in AI, you need to provide a sequence of commands to solve your problem.

Deep learning Algorithms and frameworks: 

In deep learning, a function is represented by a data set. If we feed the value into this function, then we will get a label value. For example, In a house price prediction, if you input house features, then we will get the price as the label. In deep learning, we try to approximate this function. For approximating this function, we use a series of layers. Every layer has neurons, and every neuron has corresponding values. We built a multi-layer neural network. We input data into this system, and we update the weights according to the feedback received from the network. We update weights in a manner so that we get a function that can deliver precise and accurate labels as output in the output layer. So you need to learn deep learning concepts to get into the company as an AI engineer. A deep learning engineer is responsible for building and maintaining an algorithm that runs an AI application.

Linear Algebra, Probability, and Statistics 

You have to apply different AI models such as Hidden Markov models, Naive Bayes, Gaussian mixture models, and linear discriminant analysis. To understand and implement these models in an AI network, you need to command Linear Algebra, Probability, and Statistics.

Spark and Big Data Technologies

AI system handles big data. For such big data, engineers should have the skills to work on Spark and other big data technologies to make sense of it. Along with Apache Spark, one can also use other big data technologies, such as Hadoop, Cassandra, and MongoDB.

Try to gain basic knowledge of the above technologies. Basic knowledge will be sufficient to get an entry-level job in this sector and it is not so difficult to get a job.

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