Are you looking for bright career opportunities? Accidentally heard somebody talking about Artificial Intelligence? Today the future scope of Artificial Intelligence has set a trending platform.
Because in recent years, the career opportunities in artificial intelligence (AI) has grown inexplicable to meet the rising demand of digitally transformed industries.
Well, as you read this article, you will come to know about the top 10 things. They are,
- What is Artificial Intelligence?
- What are the Industries impacted by AI revolutions?
- What are some of the AI applications in various sectors?
- What is the Scope of Artificial Intelligence?
- What are the Educational requirements to start a career in Artificial Intelligence?
- What are some Career domains that need AI?
- Which is the Most in-demand Career in Artificial Intelligence?
- What skills did you require to get hired for AI jobs?
- What is the Scope of Artificial Intelligence Certifications ?
- Future of Artificial Intelligence
1.What is Artificial Intelligence?
Artificial Intelligence(AI) is nothing but the simulation of human intelligence by machines.
In other words, we can define Artificial Intelligence is the area of computer science that aims to develop intelligent computer machines.
That in a sense, it can make machines to demonstrate certain aspects of human intelligence like learning, reasoning, self- correction, visual perception, speech recognition, decision-making, translation between languages and so much more.
Below are some advantages and disadvantages of AI
- Doesn’t get Tired and wear out easily
- Rational decision Maker
- Applications in the medical industry
- Accurate decision making
- selfless with no breaks
- Incurs high cost
- Can Leads to unemployment
- No improvements with experience
- Lacks in creativity
2. What are the Industries impacted by AI revolutions?
When we talk about industries for your career opportunities, there is a number of industries now using AI and expanding their rapid technological revolution. Below are some of the industries that widely impacted by AI revolutions.
- Information Technology
- Business Intelligence
- Supply chain management
3. What are some of the AI applications in various sectors?
Before knowing about the career in AI, You must be aware of how AI is revolutionizing the way we live and help to get things done.
This is because, in today’s digital world, machines, as well as computers, is playing a major role in the way we work and live. Below are the applications of AI in various sectors:
- In Healthcare for assisting doctors. Eg: Robot Dentists
- In business for smoothing overall process. Eg: spam filters, voice to text features
- In the travel industry for predicting pricing patterns. Eg: Chat-bots and online customer service
- In the Automobile industry for advanced features. Eg: TESLA
- In the Education industry for automating the grading system. Eg: Intelligent Tutoring Systems, Smart Content
4. What is the Future Scope of Artificial Intelligence?
As many people likely are drawn to the idea of AI, plenty of them looking for a potential career in the field of AI.
However, before you can do so, it’s always a good thing to analyze the future scope and career opportunities of AI.
As being said, the scope of AI in India is pretty significant and its ultimate objective is to make computer programs to tackle different problems and achieve goals in the world, as well as humans and beyond.
Thus, there is a scope in developing the machines in game development, speech recognition, robotics, language detection, expert systems, computer vision, and many more.
5. What are the Educational requirements to start a career in Artificial Intelligence?
Before you start your career path and learn in-depth about Artificial Intelligence, it is always better to have a strong foundation. This mainly includes subjects such as:
Mathematics- This consists of topics such as algorithms, algebra, probability, calculus, and statistics.
Sciences, in which physics plays an important part–This includes physics and engineering, neural nets, cognitive science theory, graphical modeling, and robotics.
Biology- That is mainly related to physiology and psychology is required.
Most importantly theory behind computer science and how it actually works.
Last but not least, absolutely Programming languages and coding is must- It is significant to learn minimum of 2 to 3 universal coding languages, that can be used for machine language coding. Examples of such languages are C, Java, and Prolog to name a few.
6. What are some Career domains that need AI?
So, if you have the above strong foundation, then it is easy for you to implement your AI skills in the following career domains. Some common domains include:
- In Public and Private organizations.
- In Education, both primary and advanced.
- In Advanced Healthcare facilities.
- Government agencies and committees related to research.
- The Military.
Do you think that you don’t have a strong foundation to get in-depth about AI? Trust me, practice makes a man perfect.
So, if you have an interest, that’s enough to reach heights by joining in a reputed Artificial Intelligence training institutes, or by attending online courses which help you understand the techniques involved to build intelligent computer systems.
7. Which is the Most in-demand Career in Artificial Intelligence?
While there exist plenty of jobs in artificial intelligence, below are some of the most in-demand jobs in AI, which requires a shortage of top tech talent with the necessary skills to pay you high.
- Machine Learning Engineer
- Data Scientist
- Business Intelligence developer
- AI Research Scientist
- Big Data Engineer/Architect
8. What are the skills you required to get hired for AI jobs?
So, if you want to get hired by the top companies, basically they prefer individuals who have completed a Ph.D. in mathematics, computer science, or a related field. So if you are looking to start a bright career in AI and want to be in the most in-demand job position with the highest salary. Then, you must possess some great AI skills, which makes you soon get hired by the top companies in India like Google, Microsoft, Adobe Amazon, Accenture and many more.
As you hail from a background in applied research and data science and want to become a Machine Learning engineer?
As a Machine learning engineer, you should be able to apply predictive models and leverage natural language processing (NLP) when working with enormous data sets.
So, if you want to get hired by the top companies, basically they prefer individuals who possess a master’s or doctoral degree in computer science or Mathematics.
If you hired for the position of Machine learning engineer, which is a highly sought after job and command an annual median salary of $114,856.
2. Data Scientist:
Do you want to become a data scientist in Ai, then you must be comfortable with big data platforms and tools like the following:
As a data scientist, you are responsible to collect, analyze, and interpret large, complex datasets by leveraging both machine learning and predictive analytics.
So, if you want to get hired by the top companies, basically they prefer individuals who possess a master’s degree or a doctoral degree in computer science.
Additionally, to be considered for the position of Data scientist, applicants must have a minimum of two years of experience in working with Machine Learning
Moreover, you must be highly experienced in statistical computing languages and programming languages like Perl, Python, Scala, SQL
Furthermore, you should have extensive knowledge and experience working on cloud tools like Amazon’s S3 and the Hadoop platform will be an added advantage.
If you hired for the position of Data Scientist in Artificial Intelligence, you command an annual median salary of $114,856.
Do you want to become a Business Intelligence Developer, then you must possess strong technical and analytical skills. Further, the candidates must able to communicate with non-technical colleagues and display strong problem-solving skills.
As a Business Intelligence Developer, your job is to design, model and maintain the complex data in highly accessible cloud-based data platforms.
So, if you want to get hired by the top companies, basically they prefer individuals who possess a bachelor’s degree in engineering, computer science, or a related field.
Additionally, to be considered for the position of Business Intelligence Developer, applicants must have considerable experience in data warehouse design, data mining, SQL queries, SQL Server Integration Services, SQL Server Reporting Services, and BI technologies.
If you hired for the position of Business Intelligence Developer in Artificial Intelligence, you command an annual median salary of $92,278.
4. Research scientist:
Do you want to become a Research scientist in AI, then you must be an expert in multiple AI disciplines, including applied mathematics, machine learning, deep learning, and computational statistics.
Research scientists are more like data scientist, you are responsible to research, collect, analyze, and interpret large, complex datasets by leveraging both machine learning and predictive analytics.
So, if you want to get hired by the top companies, basically they prefer individuals who possess an advanced master’s or doctoral degree in computer science.
Additionally, to be considered for the position of a Research scientist, applicants must have extensive knowledge and experience in computer perception, graphical models, reinforcement learning, and natural language processing.
Furthermore, hiring companies expect you to have a depth understanding of parallel computing, benchmarking, machine learning, distributed computing, and artificial intelligence.
If you hired for the position of Research Scientist in Artificial Intelligence, you command an annual median salary of $99,809.
5. Big Data Engineer/ Architect:
Do you want to become a Big data Engineer or Architect, which is among the best-paying jobs in artificial intelligence?
As a Big data Engineer or architect, you are responsible for developing an ecosystem that enables business systems to communicate with each other and collate data.
Additionally, to be considered for the position of Big data Engineers or Architect, applicants must have considerable knowledge in programming experience with C++, Java, Python, and Scala.
Furthermore, must demonstrate in-depth knowledge and experience engaging in data mining, data visualization, and data migration.
If you hired for the position of Big data Engineer or Architect in Artificial Intelligence, you command an annual median salary of $151,307.
9. What is the Future Scope of Artificial Intelligence Certifications?
The top reasons that you must be certified in AI now are because,
- Soaring Demand for AI Professionals
- Novel Career Paths
- Earning Potential
10. Future of Artificial Artificial Intelligence:
Artificial Intelligence is used by a wide variety of sectors for its benefits. Also, it’s a fact that artificial intelligence is now reached in our day-to-day life. Moreover, with breakneck speed.
Currently, AI is estimated to pave way for close to 2.3 million opportunities by the year 2020.
Also, it says by the year 2035, Artificial Intelligence technologies shall boost the productivity of labor by 40 % or even more.
So why are you waiting for? Join in a Right AI training institute and add more value to your career. Best wishes!