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AI Career Path: How to make a career in AI from scratch - Here’s All You Need to Know

  • Artificial Intelligence
  • Certifications
  • Job Opportunity
  • Published by: André Hammer on Nov 07, 2022
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Artificial intelligence jobs are in high demand, and this fast-expanding industry is only going to continue to increase as new technologies are developed. It is becoming increasingly apparent that the future of technology is already here as artificial intelligence (AI) continues to spread across a variety of industries. In addition, there is speculation that artificial intelligence may soon replace human workers and take control of the workplace. However, this is not entirely accurate because, as a result of all the developments, it is extremely probable that a whole new category of professions will be created.

According to the research that was published by Gartner in 2019, there has been an increase of 270% in the applications of AI between the years 2015 and 2019. Therefore, the significance of AI will almost certainly continue to increase in the years to come. Opportunities for careers in artificial intelligence are skyrocketing. Because of the rise in the number of courses that teach the fundamentals of AI, a career in AI has become far more accessible. In today's world, seventy percent of companies are working to improve the performance of their AI networks in order to broaden their customer base on a worldwide scale.

With the development of chatbots, robotics, and voice assistance, artificial intelligence has demonstrated that it is here to stay. So, this would be a great time to start thinking about a career in AI.This article has everything you need to know about a career in AI, and how to get started.

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What Is Artificial Intelligence?

“AI refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning or problem-solving.” - Investopedia

There is artificial intelligence everywhere, even in areas that you might not be aware of right now. Its potential extends to a wide variety of domains, including healthcare, music, and household appliances.

The following are some examples of artificial intelligence:

  • Smart assistants like Siri and Alexa
  • The online music streaming services Pandora and Netflix, provide individualized suggestions of songs and shows
  • Chatbots
  • Robotic vacuum cleaners
  • Self-driving automobiles
  • Computer programs with face recognition

It goes without saying that artificial intelligence is present in almost every industry. The need for AI specialists, particularly those with extensive training and expertise, continues to rise. According to Bernard Marr, a business and technology expert to governments and organizations, we now have access to more data than ever before, which implies that artificial intelligence has gotten smarter, quicker, and more accurate.

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What industries require AI professionals?

Artificial intelligence is a sort of technology that is expanding in both its use and its prevalence, and as a result, there is a greater need than ever before for individuals that specialize in AI. The good news is that the professional sector of artificial intelligence is full of varied employment prospects, which means that you may take on different tasks and responsibilities depending on the position, your expertise, and your hobbies.

The following are some of the sectors that are expanding their AI teams:

  • Healthcare - Accurate diagnosis and treatment are made easier by the use of AI in the healthcare industry.
  • Education - The use of AI allows an atmosphere conducive to learning.
  • Sports - Athletes are able to improve their performance with the help of more sophisticated AI technology.
  • Agriculture - Artificial intelligence makes it possible to achieve maximum production by contributing to the development of the ideal farming environment.
  • Finance - Among the many beneficial effects of AI, banking will benefit from chatbot support, improved fraud detection, and more advanced payment options.
  • E-commerce - Some of the benefits of artificial intelligence include efficient warehouse operations, helpful product recommendations, and protection against fraud.

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How to get started in the AI world?

The first thing you need to do if you are not already working in the field is to do some research. You are reading this article, so you have probably already started that process. Research also involves interviewing people who are currently working in the field of artificial intelligence as well as looking into respected educational institutions and programs. According to Springboard, hiring managers will most likely require you to possess at least a bachelor's degree in mathematics and fundamental computer technology. However, a bachelor's degree alone will only qualify you for entry-level work in many circumstances.

A bachelor's degree in computer science or engineering is a fantastic place to start. Getting a master's degree in artificial intelligence may provide you with hands-on experience and information from industry professionals that can help you land a job and differentiate yourself from other candidates.

Here are some tips you help you start your AI journey:

1) Have a solid understanding of the AI Job Market

Although a large number of AI experts have predicted that this technology will result in the loss of a significant number of human occupations, other AI experts have predicted that it will result in the creation of a large number of novel and promising employment options. If you are enthusiastic about AI, you should have a positive outlook and make plans for a successful career in the field.

2) Understand the kind of jobs available in AI

Researching jobs within the area of AI you are interested in is a crucial step toward getting started. This will allow you to customize your education and enhance your abilities in accordance with the requirements of the positions. According to Indeed, the top 10 professions requiring expertise in AI are as follows:

  • Director of Analytics: Directs the data analytics and data warehousing departments while being responsible for research, development, and implementation of relevant data systems
  • Research engineer: Utilizes research findings to create a reliable answer for any problems that may be present
  • Principal Scientist: Designs, executes, and documents research experiments as part of a research team
  • Computer Vision Engineer: Uses computer vision and machine learning research to solve problems in real-time
  • Statistician: Creates or makes use of different mathematical or statistical theories and methods to gather and explain the numerical data findings for a given project
  • Data Scientist: Utilizes coding and another computer programming to collate and store data efficiently
  • Data Engineer: Finds strategies to increase the quality and dependability of the data by merging fresh information and creating forms that machines can read through and comprehend
  • Algorithm Engineer: Helps clients understand more prominent data trends and reports on these trends
  • Computer Scientist: Designs innovative uses for new and existing computing technology, solving computing problems in various industries

3) Develop AI-specific skills

When you are getting ready for a career in artificial intelligence, you should expect to hone a variety of talents. There are several subfields within AI, yet they all have certain fundamental similarities. Many of these abilities may be developed through self-directed practice and participation in online courses or boot camps. They can also be developed through the completion of coursework while working towards a degree.

In the field of artificial intelligence, there are a lot of jobs that require knowledge of coding and programming languages. In fact, learning how to code is one of the very first skills those interested in AI pick up. You should also be prepared to deal with a range of computer systems. The following are some examples of vital technical abilities that should be built on:

● General-purpose languages: Python and C/C++

● Database management: Apache Cassandra, Couchbase, DynamoDB

●Data analysis and statistics: MATLAB, R, Pandas

● AI platforms: Microsoft Azure AI, Google Cloud AI, IBM Watson

● Data acquisition systems: Physical sensors and wireless sensors

● Digital marketing goals and strategies

● Industry knowledge

4) Build workplace skills

Experience is sometimes far more valuable than qualifications. This is true especially when it comes to acquiring the skills necessary for success in the workplace. When it comes to AI the following workplace skills are sure to help you succeed:

● Strong and clear communication

●Critical analysis skills

● Problem-solving skills

● Management and leadership Skills

5) Gain certifications

If you already have your bachelor's degree in a discipline that is linked to AI, you should seriously consider enrolling in some courses to gain some of the technical skills you'll need to work in artificial intelligence. Even if you don't have a degree, having certificates can demonstrate to potential employers that you take your professional aspirations seriously and make you a more desirable candidate for any given position. Consider getting certified in the following areas of AI expertise should be considered:

  • MIT: Artificial Intelligence: Implications for Business Strategy
  • USAII:
    • Certified Artificial Intelligence Engineer
    • Certified Artificial Intelligence Consultant
    • Certified Artificial Intelligence Scientist
  • ARTIBA: Artificial Intelligence Engineer

If time is of the essence, there are many shorter courses you could take too. Readynez, for example, has Microsoft Azure AI Fundamentals (AI-900) course that can help you learn everything in just 1 day. It will give you all the knowledge that you need to know in order to pass the AI-900. Additionally, you get the exam voucher as part of your package.

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Job outlook and salary

Salaries are dynamic in nature; so they tend to fluctuate with inflation, trends, the job market, demand, etc. Hence, the numbers we have mentioned here are bound to change with time.

The average salary for an artificial intelligence programmer ranges from $100,000 to $150,000. Salaries tend to be much higher for AI engineers who make approximately $171,715 with the top 25% earning above $200,000.

Positions and responsibilities, often determine the range of the salary. Here are the most popular ones:

  • As per Indeed, the salary for AI careers ranges from approximately $99,568 for a full-stack developer to $141,318 for a data scientist.
  • As per Talent.com, the average artificial intelligence salary is $143,054 per year. Entry positions start at $115,000, and more experienced employees can make up to $200,000 per year.
  • As per Glassdoor, the average annual base pay for artificial intelligence salaries in the United States is $120,049.

In June 2022. Glassdoor reported salaries, which include base pay plus compensation, for the following AI jobs:

  • Artificial intelligence engineer:$120,017
  • Machine learning engineer: $125,087
  • Robotics engineer: $107,771
  • Data analyst: $97,329
  • Computer vision engineer: $123,665
  • Data scientist: $121,275

Not only does a career in AI offer great financial prospects, but it also gives you the opportunity to work for some of the biggest names around. AI is growing and hence large companies have requirements for AI professionals. Here is a brief list of well-known companies that make use of AI:

  • Amazon
  • Apple
  • Google
  • Facebook
  • DJI
  • Anki
  • Clarifai
  • Deepmind
  • Casetext
  • DataVisor

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In Conclusion

Machine learning engineers, robotics engineers, computer vision engineers, and data scientists are four of the most popular jobs in the AI industry. If you're considering a long-term career in artificial intelligence, starting along a professional path that will eventually lead to one of these positions is a wise choice.

For instance, getting recruited for an entry-level position in artificial intelligence as a software engineer, software programmer, or software developer might lead to a career as a machine learning engineer. For these entry-level positions, a bachelor's degree is necessary. Get a master's degree in data science, computer science, software engineering, or a related field as your next step. Additionally, you might want to focus on developing your talents, constructing your portfolio, and obtaining certain certifications.

At Readynez, we have a large collection of courses to help you ace your certifications and get you on the path to being a successful AI professional. All you have to do is get in touch!

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AI Career Path: How to make a career in AI from scratch - Here’s All You Need to Know

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