What Is Artificial Intelligence and Why Gain a Certification in This Domain

Artificial Intelligence (AI) is currently the hottest buzzword in tech. And with good reason—the last few years have seen a number of techniques that have previously been in the realm of science fiction slowly transform into reality. Experts look at artificial intelligence as a factor of production, which has the potential to introduce new sources of growth and change the way work is done across industries. According to the report How AI Boosts Industry Profits and Innovations, AI is predicted to increase economic growth by an average of 1.7 percent across 16 industries by 2035. The report goes on to say that, by 2035, AI technologies could increase labor productivity by 40 percent or more, thereby doubling economic growth in 12 developed nations that continue to draw talented and experienced professionals to work in this domain.

This article provides an overview of AI, its most popular industry applications, potential career paths, and how certification can help you jumpstart your career in this fast-growing domain.

Want to accelerate your career? Gain expertise in Deep Learning, Python, NLP and a lot more with the Post Graduate Program in AI and Machine Learning with Purdue University collaborated with IBM.

What Is Artificial Intelligence?

Artificial Intelligence is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems. Researchers extend the goals of AI to the following:

  1. Logical Reasoning

    AI programs enable computers to perform sophisticated tasks. On February 10, 1996, a computer called Deep Blue, designed by IBM, won a game of chess against the former world champion, Garry Kasparov.
  2. Knowledge Representation

    Smalltalk is an object-oriented, dynamically typed, reflective programming language that was created as the language to underpin the “new world” of computing exemplified by “human-computer symbiosis.”
  3. Planning and Navigation

    The process of enabling a computer to get from point A to point B. A prime example of this is Google’s self-driving Toyota Prius.
  4. Natural Language Processing

    Set up computers that can understand and process language.
  5. Perception

    Use computers to interact with the world through sight, hearing, touch, and smell.
  6. Emergent Intelligence

    That is intelligence that is not explicitly programmed but emerges from the rest of the explicit AI features. The vision for this goal is to have machines exhibit emotional intelligence, moral reasoning, and more.
Read More: Understanding Artificial Intelligence

Applications of Artificial Intelligence

Machines and computers affect the way we live and work. Top companies are continually rolling out revolutionary changes to how we interact with machine-learning technology.

DeepMind Technologies, a British artificial intelligence company, was acquired by Google in 2014. The company created a Neural Turing Machine, allowing computers to mimic the short-term memory of the human brain.

Google’s Driverless cars and Tesla’s Autopilot features are the introductions of AI into the automotive sector. Elon Musk, the founder and CEO of Tesla Motors, has suggested via Twitter that Telsas will have the ability to predict the destination that their owners are wanting to go via learning their pattern of behavior via AI.

Furthermore, Watson, a question-answering computer system developed by IBM, is designed for use in the medical field. Watson suggests various kinds of treatment for patients based on their medical history and has proven to be very effective.

Most people, however, utilize more common applications of AI, such as virtual personal assistants in our smartphones. Siri, Cortana, and Google Assistant are some very commonly used digital assistants that are found in iOS, Windows, and  Android phones. These applications collect information, interpret what is being asked, and then supply the answer via fetched data, and each one gradually improves based on user preferences.

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Reasons to Gain Artificial Intelligence Certification

Here are the top reasons why you should gain certification in AI if you’re looking to join this field full of potential:

  1. Demand for Certified AI Professionals will Continue to Grow

    One in five companies will be using AI to make decisions in 2018. It will help companies offer customized solutions and instructions to employees in real-time. Therefore, a sharp increase in demand for professionals with skills in emerging technologies like AI will only grow. 
  2. Improve Your Earning Potential

    The average  Artificial Intelligence engineer can earn $135,000 per year. According to an article in Fortune, many of the top tech enterprises are investing in hiring talent with AI knowledge. A certification in AI is a step in the right direction to enhance your earning potential and make you more marketable.
  3. Higher Chances of an Interview

    If you are looking to penetrate the AI industry, a certification like Simplilearn’s Artificial Intelligence Engineer will help you reach the interview stage because you’ll possess skills that many people in the market do not. Certification will help convince prospective employers that you have the right skills and expertise for a job and make you a valuable candidate.
  4. New and Unconventional Career Paths

    AI is expected to create 2.3 million jobs by 2020, according to a recent report from Gartner. The Capgemini report found that 83 percent of companies using AI say that technology is leading to the creation of new jobs. Because of AI, new skill sets are required in the workforce, leading to new job opportunities. Some of the top AI roles include:
  • AI/Machine Learning Researcher

    Researching to find improvements to machine learning algorithms.
  • AI Software Development, Program Management, and Testing

    Developing systems and infrastructure that can apply machine learning to an input data set.
  • Data Mining and Analysis

    Deep investigation of large data sources, often creating and training systems to recognize patterns.
  • Machine Learning Applications

    Applying machine learning or AI framework to a specific problem in a different domain and for example, applying machine learning to gesture recognition, ad analysis, or fraud detection.
Looking forward to becoming an AI Expert? Here's a comprehensive career guide to becoming an AI expert.

Conclusion

As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of these growing technologies and hands-on experience. Keeping the innate need in mind, Simplilearn has launched the Post Graduate Program in AI and Machine Learning with Purdue University in collaboration with IBM that will help you gain expertise in various industry skills and technologies from Python, NLP, speech recognition, to advanced deep learning.

The comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM, provides you a joint Simplilearn-Purdue certificate, and also, you become entitled to membership at Purdue University Alumni on course completion. IBM is the leading player in AI and Data Science, helping professionals with relevant industry exposure in the field of AI and Data Science, providing a globally recognized certificate, complete access to IBM Watson for hands-on learning and practice. The game-changing PGP program will help you stand in the crowd and grow your career in thriving fields like AI, machine learning and deep learning.

If you're interested in becoming an AI expert then we have just the right guide for you. The Artificial Intelligence Career Guide will give you insights into the most trending technologies, the top companies that are hiring, the skills required to jumpstart your career in the thriving field of AI, and offers you a personalized roadmap to becoming a successful AI expert.

About the Author

Nikita DuggalNikita Duggal

Nikita Duggal holds an honors degree in English language and literature and is working with Simplilearn as a content writer. She is a passionate digital nomad who loves all sorts of writing. In her free time, she is a veteran of poetry and philosophy.

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