Jobs in the field of artificial intelligence are in high demand, and their importance will only increase as the technology used to create AI continues to develop. This guide will help you achieve an AI career by laying out the steps you need to take, such as the courses you need to take and the companies you need to apply to. 

A bachelor's degree in computer science or IT or a closely related field is usually recommended, however, if you want to gain a master's or doctoral degree, your chances of standing out of the crowd will increase. Also, along with an AI degree or a certificate, skills related to the same also play an important role.

How Do I Start?

The first thing you should do is investigate specific careers in AI that interest you. This will help you focus your education and skill development efforts. Some of the AI-related jobs include: 

• The director of analytics oversees the work of the data analytics and data warehousing teams as well as any related efforts in the areas of R&D and system implementation.
• As the leader of a research team, you will be responsible for conceptualizing, implementing, and documenting experiments across a wide range of disciplines and sectors.
• An AI engineer specializing in machine learning creates programs that give computers the ability to act without being given explicit instructions.
• Engineers specializing in computer vision apply findings from the fields of computer science and machine learning to the solution of pressing, time-sensitive problems.
• For efficient data collection and storage, a data scientist will often rely on their knowledge of code and other computer-based methods.

Obtain The Necessary AI Skills

There are many abilities you can expect to develop as you train for a career in AI. Though AI has many subfields, they share fundamental principles. Many of these can be developed through self-directed practice, through participation in online courses or bootcamps, or through participation in the educational process leading to a degree. 

1. Acquire expert level technical knowledge

As you might expect, many AI-related jobs require strong programming skills. In fact, learning how to code is often the first step for those who are interested in this area. You will most likely use multiple computer platforms in your work. The following are some examples of fundamental technical abilities to develop: 

• Languages with a wide range of potential uses include Python and C/C++.
• Management of data stores using Apache Cassandra, Couchbase, and DynamoDB
• Methods and software for statistical and data analysis using MATLAB, R, and Pandas
• Google Cloud AI, ARTiBA, Microsoft Azure AI, and IBM Watson are all artificial intelligence platforms.

2. Workplace skill development

Experience often trumps classroom instruction when it comes to developing practical expertise in the workplace. If you're thinking about a future in the field of artificial intelligence, you might want to focus on developing these human skills. 

• The ability to convey information
• Competence in analysis
• Capacity for problem-solving
• Abilities in management and direction

What Are The Educational Requirements?

One of the most important steps to getting into the AI industry is meeting the educational requirements. These standards will fluctuate based on the nature of the work, the level of the position, and the business sector.

1. A full-time degree

A bachelor's degree or higher will likely be required for employment in the AI industry. Sometimes, a high school diploma or GED is sufficient for entry-level work, but this is unusual. You should get at least a bachelor's degree if you plan on making a living in the field of artificial intelligence. Most AI professionals have bachelor's degrees in computer science, mathematics, or a closely related field.

2. Artificial intelligence certification

Those who already hold an undergraduate degree in a relevant field may wish to take courses to acquire the technical skills necessary for a career in artificial intelligence. Certifications demonstrate to prospective employers that you have taken your professional development seriously even if you do not yet have a four-year degree.

Employment Potential And Salary Range

Jobs in the field of artificial intelligence look promising, which is great news for anyone currently working in the field. The US Bureau of Labor Statistics (BLS) predicts a 22 percent increase in demand for computer and information research scientists between 2020 and 2030. 

An AI engineer salary in India could be even more than 50 lakhs, while in the US, it could be over 110K dollars.

About The AI Job Market

Machine learning engineer, robotics engineer, computer vision engineer, and data scientist are four of the most popular jobs in artificial intelligence. If you want to make a living in the field of artificial intelligence in the long run, enrolling in a program that can lead to one of these positions is a good idea. 

For instance, one way to advance in the field and become a machine learning engineer is to start out in a software engineering, programming, or development role that utilizes AI. These entry-level positions require a bachelor's degree as a bare minimum for consideration.

To Conclude

After doing some research into the field of AI and deciding which career path is best for you, the next step is to begin preparing for that career by getting the education, certifications, experience, and portfolio you'll need.