There is no secret that Artificial Intelligence is one of the most trending technological waves to hit the world of tech in decades. According to a report by Gartner, AI is going to create more than 2.3 million jobs by the end of 2021, replacing the 1.8 million, it is going to eliminate.
According to research and studies, AI will saturate your day by day lives by 2025. Job Growth has just overflowed the business, as the demand for someone with AI skills has already multiplied over the past few years. Also, it has been reported that there have been a huge upsoar of learners in E-learning platforms like Intellipaat for Data Science certification.
Before going ahead, let’s take a glance at the topics discussed below in this blog:
- What is Artificial Intelligence?
- Who is an Artificial Intelligence Engineer?
- Becoming an Artificial Intelligence Engineer
- Certification Courses for AI and Data Science
What is Artificial Intelligence?
Artificial intelligence (AI) is the effect of human intelligence in machines that are designed and programmed to think like humans and mimic their actions.
AI was present even before the internet, but there wasn’t any strong data processing and compute power backbone earlier.
5 out of 6 Americans use AI services in one or the other form every day, including smartphone personal assistants (like Google Assistant, Siri etc), navigation apps, smart home devices & much more. AI is like a normal thing that the world cannot do without.
Who is an Artificial Intelligence Engineer?
An AI Engineer works with neural networks, algorithms, and many other tools to propel the field of AI here and there. These professionals may deal with different kinds of artificial intelligence in various industries.
An AI Engineer is someone who deals with AI problems or technologies. Engineers may likewise pick between projects including weak or strong AI, where different setups focus on various capabilities.
Becoming an Artificial Intelligence Engineer
- A) Earn an Educational Qualification:
Starting from the basics, you need to get a Bachelor’s Degree first. It can be anything of the following areas or Subjects:
- Information Technology
- Computer Science
- B) Perfect your Technical Skills:
An important thing to note here is that in order to become an Artificial Intelligence Engineer, you should have a piece of good knowledge, techniques and practices on programming as well as software development. You should be knowledgeable both theoretically and practically about the following topics:
- Programming languages
- Deep Learning & neural networks
- Statistical knowledge & Applied Maths and Algorithms
- Natural Language Processing
- i) Programming Languages:
You should be very good at programming languages, such as Java, C++, Python, R, and so on.
Sometimes, just the knowledge of these technologies may not get the job done. You might come across tasks where you need to use hardware knowledge for improvements. You should be familiar with fundamental algorithms, classes, memory management, and linking.
- ii) Deep Learning & neural networks:
Many times, we might need Machine Learning for tasks that are excessively complex for people to code directly. That is when neural networks come in. Neural networks are designed according to the human mind, which can perceive numerical patterns based on sensory information.
The AI world has naturally advanced single-layer neural networks to Deep Learning neural networks, in which information is gone through various layers for more complex pattern recognition. Deep neural networks have been the most accurate way of performing complex problems, like Speech Recognition, Translation and Image Classification, which play a vital role in Artificial Intelligence.
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iii) Statistical knowledge & Applied Maths and Algorithms:
Coming to statistical knowledge, you should be familiar with vectors, matrices, and matrix multiplication. If you have a clear understanding of Differentiation and Integration, then it is a plus point. Insights are going to come up a lot. Make sure that you are good at Gaussian distributions, means, and standard deviations. You must also have a piece of good knowledge of Probability to understand models like:
- Naive Bayes
- Gaussian Mixture Models
- Hidden Markov Models
To be a successful Artificial Intelligence Engineer, You must have deep knowledge of algorithm theory and how algorithms are gonna work. And along with that, you should know subjects such as Lagrange, Quadratic Programming, Gradient Descent, Partial Differential equation, and so on. This math might look scary at first if you have lost your touch in this. Be prepared, ML and AI are much more math-escalated than something like front-end development.
- iv) Natural Language Processing:
Natural Language Processing joins two of the major areas of ML and AI: Linguistics and Computer Science. The chances of you working with either text or video or audio is high. Thus, it’s critical to have great command over libraries like NLTK, Gensim, and methods like word2vec, Sentimental Analysis, and Summarization.
- C) Necessary Business Skills:
In order to secure an AI job, you should have certain business skills along with your technical skills. The following are some of the business skills which is required to be a successful Artificial Intelligence Engineer:
Analytic problem-solving skills
Certification Courses for AI and Data Science
You can accomplish the skills mentioned above through practice or by choosing an Artificial Intelligence Online Course. To be an Artificial Intelligence Engineer, completing a certification course in Machine Learning, Artificial Intelligence or Data Science is highly recommended.
These certifications will increase the value of your resume and will help you to get in-depth knowledge of Artificial Intelligence topics, along with hiking up your pay to match an Artificial Intelligence Engineer’s salary.