A Roadmap To Become an AI Engineer

There’s no secret that artificial intelligence or AI is an emerging technological trend. According to a report by Gartner, Artificial Intelligence is going to create 2.3 million jobs by 2020. 

Job growth has already filled the industry, as demand for someone with AI skills has already doubled over the past few years. Therefore, in this article,  know about how to become an Artificial Intelligence (AI) Engineer in the following order:

What is Artificial Intelligence?

AI is a technology that enables machines to mimic human behavior. Artificial intelligence is the theory and development of computer systems capable of performing tasks normally requiring human intelligence, such as visual perception, speech recognition, decision making, and translation between languages.

 

Who is an AI Engineer?

An AI Engineer works with algorithms, neural networks, and other tools to advance the field of Artificial Intelligence in some way. These professionals can work on different types of artificial intelligence in different industries.

How to Become an AI Engineer?

1. To become an AI Engineer, one needs to study following areas or subject i.e.

• Computer Science
• Mathematics
• Information Technology
• Statistics
• Finance
• Economics

2. Secondly, one needs to be good at programming but also good at Software Development techniques and practices. They need to be knowledgeable both theoretically and practically about the following topics: 

• Software Development Life Cycle
• Modularity, OOPS, Classes
• Design Patterns
• Statistics and Mathematics
• Machine Learning
• Deep Learning & Neural Networks
• Electronics, Robotics, and Instrumentation (Not a Mandate)

3. Apart from technical Skills there are also must have Business Skills one must possess while planning on How to Become a Successful Artificial Intelligence Engineer. Some of these skills include:

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

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