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Here is a complete guide on how to start working towards your dream of studying and building a career in the field of Artifical Intelligence.
What is Artificial Intelligence?
Artificial Intelligence, or Machine Intelligence, is a part of Computer Science that aims to create intelligent machines. It can also be defined as the theory and development of computer systems able to perform tasks usually requiring human intelligence. From decision-making to visual perception, the scope of Artificial Intelligence is broad and fast growing in computation and automation world.
Languages used for AI
There are specific languages used for doing Artificial Intelligence projects. These are the most commonly used languages for AI development:
Python is the first choice for many students due to its simplicity. One of the most significant advantages of using Python is the simple syntaxes which are very easy to learn. Comparing to other languages like C++, Java or Ruby, Python takes a shorter time for development.
This is considered to be one of the most useful languages for analyzing and manipulating the data. R helps to produce a well-designed publication-quality plot including mathematical symbols and formulae where needed.
Lisp is one of the oldest languages which is well known for its excellent prototyping capabilities and easy dynamic creation of new objects.
The features provided by Prolog include efficient pattern matching, tree-based data structuring, and automatic backtracking. It is widely used for working on medical projects and for designing expert AI systems.
Some of the benefits provided by JAVA are,
- Easy use
- Debugging ease
- Package Services
- Simplified Work
- Better user interaction
- Graphical representation of data
According to the father of Artificial Intelligence, John McCarthy, Artifical Intelligence is “The science and engineering of making intelligent machines.” However, what is the goal of AI?
The ultimate goal of AI research is to create a technology, that allows computers to function intelligently. The goals of Artificial Intelligence is further divided into two:
- To create an expert system which exhibits intelligent behavior.
- To implement human intelligence in machines by creating systems that understand, think, learn and behave like human beings.
MS in Artificial Intelligence
A professional degree in AI from a good school can be beneficial to build a career in this discipline. MS in Artificial Intelligence is a 2-year course which has been exciting many students recently. Students who have a keen interest in studying Mathematics are most suitable for the course. However, there are specific educational requirements to build a career in Artificial Intelligence:
- Different levels of Mathematics including probability, statistics, algebra, calculus, logic, and algorithm.
- Physics, Engineering, and Robotics.
- Computer Science, programming language and coding.
- Graphic modeling.
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Eligibility for MS in Artificial Science
- A minimum aggregate score of 50% at the level of graduation in B.Sc or B.Tech or any other degree with Mathematics as one of the main subjects of study.
- An IELTS score of 7.0 or above.
Now, let’s talk about the colleges who have a strong reputation in Artificial Intelligence. Here are some of the best colleges to study artificial intelligence:
- Carnegie Mellon University, Pittsburgh (USA)
- Stanford University, California (USA)
- Massachusettes Institute of Technology (USA)
- The University of California, Berkley (USA)
- Harvard University (USA)
- Yale University (USA)
- The University of Leeds (UK)
- The University of Birmingham (UK)
- The University of Manchester (UK)
- The University of Cambridge (UK)
- The University of Southampton (UK)
- University College London (UK)
- Jacobs University, Bremen (Germany)
- RWTH Aachen (Germany)
- TU Dresden (Germany)
- Australian National University
- Monash University (Australia)
- The University of Technology, Sydney (Australia)
- Carleton University (Canada)
- Concordia University (Canada)
- Dalhousie University (Canada)
- McGill University (Canada)
- Blekinge Institue of Technology (Sweden)
- Linkoping University (Sweden)
- Lund University (Sweden)
Have you identified your target schools? Talk to us to learn about schools matching with your career goals and budget.
How much do MS programs in AI cost?
On average, a masters in Artificial Intelligence can take anywhere from one year to two years to complete. The tuition fee for the MS program may vary from country to country. The average tuition fees might be around $45000 in the USA. Most of the universities in Germany are public, so you only have to pay an administration fee which usually costs around 100-200 EUR/year. The tuition fees in Canada is approximately $12,500 while the charges in Australia ranges from AU$20,000 to AU$37,000. The broad scope of this discipline guarantees you an opportunity to build a career in a variety of industries.
However, if you feel like you lack the fundamentals, the courses listed below would be a perfect place to start:
- Computer Science
- Data Science
- Analysis of Algorithms
- Linear Algebra
- Probability and Statistics
- Calculus Courses
The demand for Artificial Intelligence is on the rise as there is a massive demand for AI experts in most of the countries. Some of the top countries who hire Artificial Intelligence experts are:
The USA has been attracting a lot of AI and machine learning experts in the past few years. A study by Pysa shows that there are more than 10,000 vacancies across the country. Companies that are actively hiring for AI experts are Amazon, Google, Microsoft, Intel, Adobe, Accenture, Samsung, Lenovo, and Wells Fargo.
Canada has gradually become the go-to place for AI experts after the US. Jobs in Canada requiring AI skills has grown by 1069 percent since 2013. Some of the companies that are hiring AI experts are Royal Bank of Canada, IBM, Scotiabank, KPMG, Amazon, Huawei, and Capital One, among others.
Recent studies suggest that the number of AI jobs available in Britain is six times higher than the number of interested candidates. AI related jobs have tripled in the oast decade and the most sought-after positions by employers are AI and Machine learning experts.
Beijing is striving to make the country No.1 in the field of artificial intelligence. One of the most significant advantages is that the country offers wages almost the same as what is offered by companies in the US. The top companies that hire AI experts are Alibaba, Baidu, Huawei, and Tencent.
Japan is now focused on building its robotics industry. There are plenty of job opportunities as they are hiring a lot of foreign software engineers and other specialists for their robotics industry.
Types of AI Careers
A career in Artificial Intelligence can be pursued in a variety of settings including private companies, public organizations, education, arts, healthcare facilities, government agencies, and the military. Given below are some of the examples of specific jobs held by AI experts:
- Software analysts and Developers
- Computer Scientists
- Algorithm Specialists
- Research Scientists and Engineering Consultants
- Military and Aviation electricians
- Post-secondary Professors
There are specific skills which can aid your career in Artificial Engineering that can help you advance in your career.
- Good mathematical skills.
- Written and Verbal Communication skills.
- Problem-solving skills.
- Expertise in designing, maintaining and repairing technology and software programs.
- Teamwork Skills
Salary and Career Outlook
A career in Artificial Intelligence can be achieved within a variety of industries including:
- Private Companies
- Healthcare facilities
- Public Organizations
- Government Agencies
An Artificial Intelligence Engineer makes earns an average of $ 1,71,715 with top earners making more than $2,57,530. Most of the AI engineers receive a master’s degree in Robotic Engineering where the average salary is around $90,000. It is already well established that there is a soaring demand for AI professionals which is estimated to grow even more in the coming years. There is a possibility of creating more jobs or career paths such as machine learning, data mining, and analysis, AI software development, program management, and testing. It is expected that by 2025 AI will have a significant impact on industries like healthcare, transport and logistics, and home maintenance. The opportunities are plenty and rewarding if you are an AI aspirant who is looking to land a job in this field.
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