Why You Should Learn Artificial Intelligence: 5 Reasons to Study AI
Artificial Intelligence (AI) is one of the hottest technology in the tech town most companies looking forward to integrating it into their business.
This field is not only interesting but also very promising in terms of job opportunities and lucrative pay scales across the positions.
What is Artificial Intelligence?
As the name denotes, AI is a broader concept used to create an intelligent system that can act like human intelligence. The terms — “Artificial” and “intelligence” means “a human-made thinking power”.
AI is the field of computer science used to incorporate human intelligence into machines so that such machines or systems can think (not exactly) and take sensible decisions like humans.
And such AI-enabled machines can perform specific tasks very well and sometimes even better than humans — though they are limited in scope. And to develop such machines multiple working professionals are required to train and develop the model using the machine learning algorithms.
What is the Difference Between AI, Machine Learning & Deep Learning?
Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) are the most widely used interchangeable…
Why you should Learn AI & Machine Learning?
Machine Learning, Deep Learning, Computer Vision, and Bid Data are the most widely used concepts of AI where highly skilled and trained professionals are required to work in this field.
Data Scientists, Machine Learning Engineers and Data Annotators are highly demanding jobs in the AI industry.
Looking forward to the scope of this field working professionals are nowadays learning AI short-term professional courses to upgrade their knowledge and skills.
It is not only helping them to find better opportunities to work with big companies but also enjoy the better pay scale in the industry. Below we will tell you the best reasons to learn about AI and its various branches.
Top Five Reasons to Study & Learn About AI
#1 Updated with Advance Technology
If you are working with technologically skilled knowledge or even at your academic stage of life you should always keep yourself self-updated with the latest or new technologies.
And AI is one of the cutting-edge and highly demanding technology going to replace the various jobs done by humans.
Learning AI is currently known as “The Skill of the Century” if you keep updated with such technologies it will make you more confident and work with better assurance in the industry.
#2 More Promising Career Opportunities
Learning AI or pursuing a particular course in this field not only makes you earn well but you will also find widespread career opportunities in this field.
Yes, AI is a wider tear, Machine Learning, Depp Learning, Computer Vision, Big Data and Data Science are the various fields you can work in.
What Is Computer Vision In Machine Learning And AI: How It Works?
Thanks to AI and machine learning, computer vision technology is getting upgraded with improved versions of visualizing…
And Machine Learning or Deep Learning Engineer, Data Scientist, Web Developer for AI-enabled applications, Software Engineer, Hardware Engineer, Research Engineer, Business Intelligence Developer, and many more profiles give you wide-ranging career opportunities in the field of AI.
#3 Join Highly Prestigious Job Profiles
As I’ve already told you, AI-focused working professionals, are highly demanded in the market and if you become any of the mentioned above engineers you will be highly appreciated in the market.
Owing to the lack of such professionals in the market and high demand you will get more respect and honour at your workplace or even at the time of appearing for the interviews for such profiles.
And owing to the lack of such experts in the market you will have the privileges in the company and you have less risk of being fired due to any unexpected reasons.
Your co-workers are going to give you extra attention due to the technical skills you have while working with them.
#4 Better Pay Scale & Remunerations
It is very obvious, that if there is a shortage of AI working professionals in the market, the pay scale would be high to encourage people to learn about AI and join their company.
AI companies are already giving the highest level of salary package with other benefits to keep AI professionals working with them.
And when you have the advantage of fewer candidates in the market for a particular profile you can bargain for a better pay scale from your employer.
Apart from the regular salary, you will also get additional allowances and a performance bonus if the AI model became successful in the market.
#5 Helps to Improve your Employability
Last but not least joining a machine learning certification program will boost your technical skills by deeply understanding the world of AI.
How AI Is Creating Jobs Not Killing Them For Low-Skilled Workers?
AI & ML are expected to create 133 million new roles, displacing 75 million by 2022 — A total net gain of 58 million…
You will learn about this technology, how it works, how it is applied to business and various job opportunities in the market.
Learning new skills, especially in such fields maximizes your exposure to the most in-demand topics within AI and prepares you to tackle the future.
And learning such complex skills that are applied in the real world will also enhance your employability in the corporate world.
How to Learn About AI?
If you are going to join the college for graduation, then you have the best career opportunity in life to join the full-time courses offering a professional degree in AI, ML or related fields like Data Scientists etc. You can study from basic concepts to advanced theories and become a well-educated professional having deep knowledge about this highly complex field.
While on the other hand, giving full-time and dedicated hours for learning such advanced technology is not possible for the fresh graduates looking for job opportunities in the market.
Here you can choose AI E-Degree to learn about AI and get the certification to work in this field.
A short-term degree has a collection of modules, projects, and quizzes to make you proficient in the subject that will help you learn at your home even without visiting any college or university.
Containing the various modules, the course will equip you to earn about the advanced AI & ML methodology along with its implications in various fields.
From Where to Learn AI?
If you are looking for reliable institutions to acquire certification in AI & Machine Learning, Online E-learning is the best option you can enrol online and learn about AI.
Top institutions are offering AIML for Advanced Practitioners E-Degree specially designed and developed for working professionals.
Where you will learn about popular topics like advanced AI & ML, Deep Learning, Computer Vision, Sentiment Analysis, Cloud Computing, Natural Language Processing and their applications in various fields.
Applications of Computer Vision in AI for Various Key Industries
Machines can visualize different scenarios through computer vision technology that helps computer systems precisely…
While learning about AI and other related topics you will get a chance to work on projects on how sentiment analysis uses machine learning, YouTube comments analysis, and image & speech recognition using machine learning, movie recommendation, and hate speech detection.
The AIML Professional Certification has been designed in such a way that you can easily learn about all the above-mentioned topics from anywhere.
This will help you to upgrade your knowledge & skills in the AI world with immense job opportunities in various positions across the departments in AI companies.
Job Opportunities after Learning AI-Related Courses
Once you become a certified AI professional you have multiple options to choose the right position as per your previous academic background and work experience.
You can become Data Scientist, Machine Learning Engineer, Business Inelegance Developer, Research Scientist, or AI Data Analyst.
Apart from these core profiles in the AI industry, you have multiple other job opportunities to work with companies involved in AI model developments or provide the training data sets to develop such models.