In the era of technology, all the hype is around the term ‘Artificial Intelligence”. The robots that we earlier saw in some sci-fi movies, seemed to be imaginary. The day is not far that those robots will turn into reality. Machine learning and deep learning technologies have made Artificial Intelligence, the most promising areas of the IT industry. It is considered as one of the biggest revolutionizing technologies of the 21st century.
When you shop online, there is a section, ‘you may also like’. How does it show the products of your choice? How do you think “OK Google” follows your instructions? How your UPI payment app reminds you of paying electricity bills, recharging your DTH, or paying EMIs?
How Amazon’s Alexa and Apple’s Siri act as per your commands? IBM’s Watson or self-driving cars are possible, How?
Yes, You Got It Right. It Is Artificial Intelligence.
According to a Gartner report, it is expected that AI will create 2.3 million jobs by 2020. A recent poll from E&Y states that 56% of senior AI pros believe that there is a scarcity of qualified AI professionals and that is going to be the strongest barrier towards the implementation of AI.
The world of Artificial Intelligence is full of innovations and creativity. This article will let you come across the ways of getting started in AI. Also, you will come to know how enriching a career in AI can be. One of the most crucial steps is taking up artificial intelligence courses for making launching your career in this domain.
Ai And Its Types
Artificial Intelligence, as you already know, is the study of computer science that focuses mainly on developing software or machines that reveal human intelligence.
The primary goals of AI include reasoning, perception, planning, knowledge representation, natural language processing (NLP), and the ability to manipulate and control objects.
The components of AI include:
- Machine Learning
- Deep Learning
- Neural Networks
The types of AI include:
- Narrow or Weak AI
- Examples include speech and image recognition, Amazon’s Alexa, Apple’s Siri, recommendation engine, etc.
- General or Strong AI
- The examples include Fujitsu built-K, a supercomputer.
- Artificial Super Intelligence
- Not yet achieved (hypothetical).
Narrow or weak AI is what is achieved to date. We see the examples of AI around us in our daily life. This is because our smartphone is always with us that has a lot to do with AI. Strong or general AI refers to the intelligence of a machine that equalizes the human brain. It is yet to be achieved. The supercomputer built by Fujitsu acts like humans but takes longer than expected. Its achievement is expected in the near future. Artificial superintelligence is what we see in sci-fi movies. It may also come true someday.
Let us see how to enter into the innovative world of AI.
Steps To Begin With Ai
As a beginner, you need to follow some basic steps.
Make Your Mathematical Concepts Clear.
Strong concepts of linear algebra, calculus, statistics, probability, and various algorithms involved in Fourier Transformation are a must for getting started in AI.
Linear algebra is crucial for machine learning. On the other hand, knowledge of calculus is necessary for training neural networks.
Articulate your goal.
Be specific, and focus on the exact goal. Break down the problem into smaller parts, achieve the solution, and integrate them back.
It is always better to be hands-on for learning anything. AI is not about studying, it’s all about programming, designing, and implementing.
Start With Deep Learning And Neural Networks.
Deep learning forms the base of Artificial Intelligence. There are open-source frameworks you should focus on, like Tensor-flow powered by Google which is based on Python and is the most popular one. Another one is Deeplearning4j which is a java framework. Theano, Scikit-learn, and Keras are all there, all are based on Python.
You need to master the design of models with unstructured data using Deep Learning techniques.
Thorough knowledge Of Programming Language Is A Must.
Choose the mainstream programming languages to start with. It should be the one that has lots of tools and high-quality libraries; and also stands out when performance is considered.
For stepping successfully into this domain, the in-depth knowledge of Python, R, and Java is strongly recommended.
Get acquainted with Machine Learning Algorithms.
You need to build AI models using the latest Machine Learning algorithms in order to predict outcomes that are critical for a business. You should be acquainted with SVM or support vector machines, RNN or recurrent neural networks, deep learning, supervised, unsupervised, and reinforcement learning.
Learning Big Data tools is necessary.
Today, a massive amount of data is generated every minute. So, it is crucial to learn top Big Data tools to analyze the huge amount of data generated. Some of the Big Data tools you need to master are Hadoop, Spark, MongoDB, Cassandra, etc.
Knowledge of Business Intelligence tools.
You need to acquire an in-depth understanding of the latest Business Intelligence tools in order to present the analytics and insights that are gained from the models created by you.
Some of the business intelligence tools you need to master are Qlikview, Tableau, PowerBI, etc.
Get yourself Certified.
It is always recommended that you get certified so that it adds to your resume. There are introductory and masters programs offered by some accredited online training providers. Adding a certification to your resume makes you preferred candidate over similar candidates without certification.
In the world of technology, artificial intelligence has been a revolutionary step towards the growth of businesses. With lots of job opportunities and attractive salaries, investing in upskilling yourself in this domain and knowing the right AI learning path can definitely prove to be a smart move.
So, what are you waiting for? Get yourself registered in an online course for AI, and get certified so that you can start your journey to the innovative world of Artificial Intelligence.
I wish you good luck!