Artificial Intelligence is growing at a rapid pace in the last decade. You have seen it all unfold before your eyes. From self-driving cars to Google Brain, artificial intelligence has been at the center of these amazing huge-impact projects.
To aspiring candidates, it is the right time to become an artificial intelligence engineer. The buzz has been seen on our platform as many artificial intelligence experts are coming forward and broadcasting their projects. First thing first, becoming an artificial intelligence engineer is not an easy task. But, the good news is that if you are already familiar with different programming languages, tools, and computer science basics, you are ready to learn and transition to an artificial intelligence engineer.
Before we get started, let’s try to understand artificial intelligence a little better.
What is artificial intelligence?
Are you afraid of the machine taking place of humans? Then, you already know about the capabilities of artificial intelligence. Artificial intelligence is used to impart machines the ability to mimic humans in almost every aspect. It doesn’t matter if it is driving cars or doing accounting work.
Artificial Intelligence (AI) is a computer science study for developing machines or software exhibiting human intelligence. Exciting, isn’t?
Artificial Intelligence is currently solving many problems. One of the primary goals includes natural language processing(NLP), learning the behavior of natural systems, knowledge gathering and structuring, etc. On a broader sense, artificial intelligence is widely used in solving social problems.
Some major use cases of artificial intelligence right now are self-driving cars, Google Brain, and Robots.
To better understand artificial intelligence, let’s dive into the types of artificial intelligence. Right now, we will only categorize it according to capabilities. Artificial intelligence can also be categorized based on other factors, but we will skip them for now.
Weak artificial intelligence: Weak artificial intelligence is the most common form of artificial intelligence. They are only focused on solving one problem. Chatbots are a perfect example of weak artificial intelligence as they don’t have any self-awareness or a sign of true intelligence.
Strong artificial intelligence: Strong artificial intelligence is similar to human intelligence. They are created or used to replace humans and do all possible tasks done by humans. These machines should pass Turing test to be placed in the Strong artificial intelligence. Currently, no machine has achieved Strong artificial intelligence (also known as True artificial intelligence), but constant scientific research is conducted to achieve Strong artificial intelligence.
Artificial SuperIntelligence: Artificial SuperIntelligence is the extreme of artificial intelligence. It is the best form of artificial intelligence and easily surpasses human intelligence. Apparently, this has not been achieved yet. Many scientists and prominent figures have raised concerns about Artificial SuperIntelligence, even saying that developing it can lead to human extinction.
Alright, now that we have an idea about artificial intelligence, let’s tackle the most important question, “How to become an artificial intelligence engineer?”
Python is the most favorable artificial intelligence programming language that you can learn. Besides Python, you can also code artificial intelligence applications in C++, JAVA, etc. There is no limit on the choice of programming language, but we will recommend Python programming language as it has all the tools for handling artificial intelligence.
You can start learning Python from the “Python Learn Page”. It includes everything that you need to get started.
Python Learn Page
Check out alligat0r aka Kealan from Sacramento, CA, US exploring Python programming language and learning it by making mistakes.
Mathematics plays a crucial role in artificial intelligence and must be learned. Differential Calculus and Linear Algebra are the bare minimum to start your artificial intelligence journey. You can also dive deep into other mathematical subjects as there is no end to learning. If you are good at mathematics, you are way ahead in becoming an artificial intelligence engineer. You can read, “What level of mathematics should I be at before delving into artificial intelligence ” to learn about the different requirements.
Your next step should be working on artificial intelligence bots. Artificial intelligence bots fall under the category of Weak artificial intelligence. Chatbots, for example, is a perfect example of artificial intelligence bots. On LiveEdu.tv, many broadcasters have created Chatbots. One of the notable broadcasters is Cruor99 from Kristiansand, Norway working on “Making chat bots great again!”
You need both artificial intelligence and Machine Learning to create a good artificial intelligence bot. A perfect example of an advanced bot is the Google search engine.
One of the best ways to garner eyeballs is to broadcast. Artificial intelligence is atop the new technology evolution, and almost everyone is interested in learning something new. Recruiters nowadays are also interested in watching candidates code on projects before calling them for a personal interview. So, as a learner, you are in a win-win situation if you decide to broadcast your projects.
Check out thibo73800 working on his artificial intelligence project below. He is from France.
Artificial Intelligence is a huge field and requires picking up a sub-field. You can pick sub-field according to your preference and interest. Some key subfields of artificial intelligence are Neural Networks, Robotics, Evolutionary Computation, Expert Systems, Speech Processing, Planning, Machine Learning, Natural Language Processing, and others.
The choice is yours!
Reading books is essential in learning anything and the same holds when it comes to becoming an artificial intelligence engineer. Some of the best artificial intelligence books that we recommend are as follows:
You can find more awesome books and other resources related to artificial intelligence on this amazing GitHub project.
Open Source is the engine of advancement. One of the best ways to meet your goal to become an artificial intelligence engineer is to dive into artificial intelligence open source. This gives you the opportunity to learn deeply and explore projects that can help you become a better artificial intelligence engineer. You can choose anyone of the 100 best GitHub artificial intelligence projects to get started. Go ahead! The path is yours.
“The more you do, the better you become.” The same is true when it comes to becoming an artificial intelligence engineer. Start with a simple project such as ChatBot and slowly embrace new projects. The more you invest time doing practical work, the faster you will explore.
Most often, it is easy to lose motivation. To overcome the motivational issues and other learning problems, you can share your project with your peers by broadcasting it on LiveEdu.tv. Peers will observe your work and can also provide you invaluable information on the project you are working on.
Artificial Intelligence is the next big thing. It can single-handedly change how our understanding of the world and how things work. Artificial intelligence: Million-dollar babies explore the current artificial intelligence demands in the industry. Many artificial intelligence pioneers are already quitting their job because they have already made a lot of money. There is a huge demand and money in artificial intelligence right now, and you can only benefit from the implosion right now.
So, what are you thinking? Get started with artificial intelligence now and give yourself the tools to change society on a large scale. Are you thinking or dreaming of becoming an artificial intelligence engineer?
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Nice guide for aspirants who want to become Artificial Intelligence engineers. Now waiting for some premium projects! Great going, LiveEdu. Love every single change to the platform.